[
{
"document_name": "004_01_2021_r2p_report_on_resolution_767_eng",
"document_title": "participation in the programme",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "survey conducted by UNHCR",
"corrected_name": "survey conducted by UNHCR",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Provides context for the report's findings.",
"context_sentence": "Our outreach workers and legal team also took part in some of the commission assessment sessions either as observers or members, thus they had an opportunity to obtain firsthand experience on the implementation of the programme. By focusing on the perspective of claimants, this report complements a survey conducted by UNHCR in November 2020, which focuses on the functioning of the local assessment commissions, based on observations from R2P and other NGO members or observers in these commissions. R2P launched this survey primarily to find out whether this programme is relevant for its target audience, as well as to reveal the pitfalls of the programme from the perspective of participants.",
"pdf_url": "/pdfs/004_01_2021_r2p_report_on_resolution_767_eng.pdf"
},
{
"document_name": "008_0349e1bab7009cf785257850006fa04c-full_report",
"document_title": "NEW ISSUES IN REFUGEE RESEARCH",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 4,
"mention_text": "UNHCR Statistical Yearbooks",
"corrected_name": "UNHCR Statistical Yearbooks",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of statistical data.",
"context_sentence": "At the time of writing, it is estimated that around 26,000 asylum seekers have entered Israel and a few hundred more continue to cross the border every month (Nathan 2010). _Sources: UNHCR Statistical Yearbooks. No data available for 2003.",
"pdf_url": "/pdfs/008_0349e1bab7009cf785257850006fa04c-full_report.pdf"
},
{
"document_name": "008_0349e1bab7009cf785257850006fa04c-full_report",
"document_title": "NEW ISSUES IN REFUGEE RESEARCH",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 6,
"mention_text": "refugee statistics",
"corrected_name": "refugee statistics",
"specificity": "vague",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides context on the limitations of current data coverage.",
"context_sentence": "the east of Israel, Jordan hosts nearly 500,000 refugees, and to the South, Egypt (from which the majority of asylum seekers cross to Israel) hosts a population of more than 100,000 (UNHCR 2009; USCRI 2009). It is also known that Egypt has a vast population of unregistered foreign nationals who are not accounted for in refugee statistics. Estimates of their number vary considerably (Harrell-Bond and Zohry 2003; Nassar 2008).",
"pdf_url": "/pdfs/008_0349e1bab7009cf785257850006fa04c-full_report.pdf"
},
{
"document_name": "008_0349e1bab7009cf785257850006fa04c-full_report",
"document_title": "NEW ISSUES IN REFUGEE RESEARCH",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 22,
"mention_text": "World Refugee Survey 2009",
"corrected_name": "World Refugee Survey 2009",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a background data source for context.",
"context_sentence": "08. 2010) USCRI (2009) World Refugee Survey 2009: U. S.",
"pdf_url": "/pdfs/008_0349e1bab7009cf785257850006fa04c-full_report.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 4,
"mention_text": "KHIS Kenya Health Information System",
"corrected_name": "KHIS Kenya Health Information System",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Referenced as a health information system in Kenya.",
"context_sentence": "IPF Investment Project Financing KEMSA Kenya Medical Supplies Authority KISEDP Kalobeyei Integrated Socio-Economic Development Plan 2 KHIS Kenya Health Information System KHSSP Kenya Health Sector Strategic Plan KISEDP Kalobeyei Integrated Socio-Economic Development Plan LMP Labor Management Plan M&E Monitoring and Evaluation MoH Ministry of Health MPDSR Maternal and Perinatal Death Surveillance and Response MWMP Medical and Waste Management Plan NCCF National Climate Change Framework Policy NCCRS National Climate Change Response Strategy NCD Non-Communicable Disease NDC Nationally Determined Contribution NHIF National Health Insurance Fund NT National Treasury OAG Office of the Auditor General O&M Operations and Maintenance OP Operational Policy ORS Oral Rehydration Salts PA Project Account PAD Project Appraisal Document PFM Public Financial Management PHC Primary Health Care PDO Project Development Objective PMT Project Management Team PNC Postnatal Care POM Project Operations Manual PP Procurement Plan PPH Postpartum Hemorrhage PPSD Project Procurement Strategy for Development PS Principal Secretary QoC Quality of Care RMNCAH Reproductive, Maternal, Newborn, Child, and Adolescent Health SEA / SH Sexual Exploitation and Abuse / Sexual Harassment SEP Stakeholder Engagement Plan SDPHS State Department for Public Health and Professional Standards SHA Social Health Authority SHIF Social Health Insurance Fund SPA Special Purpose Account STEP Systematic Tracking of Exchanges in Procurement STEPS STEPwise Approach to NCD Risk Factor Surveillance THS-UCP Transforming Health Systems for Universal Care Project",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "UNHCR Statistics package",
"corrected_name": "UNHCR Statistics package",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of statistical data.",
"context_sentence": "unhcr. org/en/country/ken 8 UNHCR Statistics package. Kenya registered refugees and asylum seekers (31 July 2023) 9 The Shirika Plan is a Government of Kenya socioeconomic development plan outlining the transition from refugee encampment to integrated settlements.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "World Bank data",
"corrected_name": "World Bank data",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a general data source without specific analysis or evidence.",
"context_sentence": "org/country/kenya/vulnerability 4 United Nations Environment Program: “Climate change could spark floods in world’s largest desert lake: new study”, 2021. 5 World Bank data. Prevalence of food insecurity in the population – Kenya **Error!",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "World Bank Climate Change Knowledge Portal",
"corrected_name": "World Bank Climate Change Knowledge Portal",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of climate data for contextual understanding.",
"context_sentence": "**B. Sectoral and Institutional Context*** 1 Kenya Economic Update, June 2023 2 World Bank, Climate Change Knowledge Portal 3 World Bank Climate Change Knowledge Portal - Kenya. https://climateknowledgeportal.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 16,
"mention_text": "Kenya Demographic Health Survey",
"corrected_name": "Kenya Demographic Health Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a background data source for health-related statistics.",
"context_sentence": "IN? locations=KE) 11 Kenya Demographic Health Survey, 2022. Key Indicators Report 12 Ministry of Health Kenya (2020) Kenya Progress Report on Health and Health-Related SDGs.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 17,
"mention_text": "Kenya Harmonized Health Facility Assessment",
"corrected_name": "Kenya Harmonized Health Facility Assessment",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Cited as a source of health facility data.",
"context_sentence": "BMC Health Serv Res 21, 1086 (2021). 19 Ministry of Health Kenya Harmonized Health Facility Assessment 2018-19. The diagnostic tests were: HIV, malaria, and syphilis rapid test; urine test for pregnancy; blood glucose; urine dipstick for glucose and protein; and hemoglobin levels Page 11 of 43",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 19,
"mention_text": "Household Health Expenditure and Utilization Survey",
"corrected_name": "Household Health Expenditure and Utilization Survey",
"specificity": "named",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Part of strategic information generation for decision making.",
"context_sentence": "**Sub-component 1. 3: Improve availability and use of quality data for decision making (US$10 million):** This subcomponent will support the Government to improve generation and use of strategic information for decision making, specifically through conducting relevant cross-sectional surveys including, but not limited to, the WHO STEPwise approach to non-communicable diseases (NCD) risk factor surveillance (STEPS) survey, and the Household Health Expenditure and Utilization Survey. Climate sensitive planning for surveys will be used and questions on climate and health impacts will be included in the survey to generate relevant data to inform decision making.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 19,
"mention_text": "risk factor surveillance (STEPS) survey",
"corrected_name": "risk factor surveillance (STEPS) survey",
"specificity": "named",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Supports strategic information generation for decision making.",
"context_sentence": "**Sub-component 1. 3: Improve availability and use of quality data for decision making (US$10 million):** This subcomponent will support the Government to improve generation and use of strategic information for decision making, specifically through conducting relevant cross-sectional surveys including, but not limited to, the WHO STEPwise approach to non-communicable diseases (NCD) risk factor surveillance (STEPS) survey, and the Household Health Expenditure and Utilization Survey. Climate sensitive planning for surveys will be used and questions on climate and health impacts will be included in the survey to generate relevant data to inform decision making.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 19,
"mention_text": "seasonal data",
"corrected_name": "seasonal data",
"specificity": "vague",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Data used to inform pharmaceutical planning for climate-sensitive conditions.",
"context_sentence": "Climate sensitive planning for HPTs distribution will be included; (b) automation of the procurement processes, through rolling out a new ERP system with extended supply chain modules to ensure end-to-end visibility; and (c) strengthening governance and accountability, including development and implementation of an accountability dashboard that provides visibility of the procurement process and distribution of HPTs to various stakeholders. The project will use seasonal data to inform pharmaceutical planning for climate sensitive conditions (e. g.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 22,
"mention_text": "key health surveys",
"corrected_name": "key health surveys",
"specificity": "vague",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Used to improve availability of quality data for decision making.",
"context_sentence": "**The World Bank** Building Resilient and Responsive Health Systems (P179698) **D. Results Chain** **CHALLENGES** **ACTIVITIES** **OUTPUTS** **SHORT-TERM** **OUTCOMES** **CHALLENGES** **ACTIVITIES** **OUTPUTS** **SHORT-TERM** **PROJECT** **LONG-TERM** **OUTCOMES** **OUTCOMES** **OUTCOMES** **Component 1** Suboptimal availability Finance key health surveys Improved availability of Improved and use of data for quality data evidence -based decision making decision making **PROJECT** **OUTCOMES** Finance key health surveys Improved availability of quality data Improved evidence -based decision making A2 Improved (i) transparency, efficiency of KEMSA and (ii) availability of essential HPTs at the lowest levels A1 Improved delivery of quality PHC services, including in refugees hosting areas Improved utilization and quality of primary healthcare services and strengthened institutional capacity for service delivery, including for refugees and host communities Reduced mortality and morbidity, and greater human capital attainment Suboptimal funding, inefficiency, and lack of transparency at KEMSA Upgrade of ERP system at KEMSA Build up buffer HPTs stock in KEMSA **Component 2** Frequent stockouts of Procure and distribute HPTs, essential commodities including HPTs for NCDs at PHC level Low quality of maternal and child health services at PHC level Inequitable geographic health outcomes particularly for RMNCAH Shortages of skilled human resources for health (HRH) Parallel health services for refugees with limited county engagement Implement priority interventions at PHC facilities in all 47 counties Support processes to strengthen clinical quality of care related to RMNCAH services in selected counties Implement priority interventions in Garissa and Turkana, including refugee hosting areas (including support to HRH, renovations of health facilities) Improved functionality of the ERP system modules Increased number of orders received within required lead time Increased number of HPTs procured and distributed to health facilities Improved operations of health facilities, systems, and community health services Improved processes for quality clinical practices Improved availability and functionality of health facilities, community health units, including for refugees and host communities Assumptions: A1- Beneficiaries have access to system performance information; A2- Policy makers utilize information to improve project implementation. 25.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 24,
"mention_text": "Kenya Health Information System",
"corrected_name": "Kenya Health Information System",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of health sector performance indicators for monitoring and evaluation.",
"context_sentence": "**The M&E approach for the project is aligned with the Government’s procedures and data sources and will** **contribute to improved data quality. ** All project indicators (a) are a subset of the health sector’s performance indicators available in various data sources including the Kenya Health Information System (KHIS); and (b) will be collected routinely through project reports. The project will support county health sector annual performance data review meetings as well as availability of key surveys under Component 1.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 24,
"mention_text": "household and facility surveys",
"corrected_name": "household and facility surveys",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Supplementary data for evaluating project outcomes.",
"context_sentence": "The project will support county health sector annual performance data review meetings as well as availability of key surveys under Component 1. Where relevant, at project closure, data from household and facility surveys will be used to complement routine data to measure project achievement of the PDO. **C.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 27,
"mention_text": "key health surveys",
"corrected_name": "key health surveys",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Used for project monitoring and evaluation activities.",
"context_sentence": "**Profile of Procurement Activities:** The key procurements of the project comprise of (a) Goods: purchase of buffer HPTs stock in KEMSA; Procurement and distribution of HPTs; (b) Non-consulting services: Upgrade of ERP system at KEMSA; (c) Works: Renovation of works under Component 2. 3; and (d) Consulting Services: institutional reforms, key health surveys; project monitoring and evaluation activities; environmental and social safeguards related activities; fiduciary management, contracting of staff on a need basis; technical assistance etc. 47.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 42,
"mention_text": "integrated financial management information system",
"corrected_name": "integrated financial management information system",
"specificity": "named",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "System for maintaining financial records and accounts.",
"context_sentence": "The proposed staff will be reviewed and cleared by the World Bank as an effectiveness condition. The MoH maintains projects’ books of account using the integrated financial management information system (IFMIS) and manual ledgers. There will be comprehensive start-up workshop where finance staff of the implementing entities will be sensitized on FM requirements for the project to build capacity on managing the project.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 46,
"mention_text": "Kenya Malaria Indicator Survey",
"corrected_name": "Kenya Malaria Indicator Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a relevant survey dataset for context or comparison.",
"context_sentence": "gov/malaria/malaria_worldwide/cdc_activities/kenya. html 31 Kenya Malaria Indicator Survey, 2020. 32 Kenya Humanitarian Situation Report.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 46,
"mention_text": "Notre Dame Global Adaptation Index",
"corrected_name": "Notre Dame Global Adaptation Index",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides a ranking to support claims about climate vulnerability.",
"context_sentence": "**The project has been screened for climate disasters and risks and been found to be highly exposed, while the** **risk to project activities is low. ** Kenya is highly vulnerable to the impacts of climate change and is ranked 152 out of 181 countries in the 2019 Notre Dame Global Adaptation Index (ND-GAIN). Kenya’s topography is highly diverse including varied formations of plains, escarpments, and hills, as well as low and high mountains which has an influence on varying climatology and related climate vulnerability across the country.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 46,
"mention_text": "IPC Acute Food Insecurity and Acute Malnutrition Analysis",
"corrected_name": "IPC Acute Food Insecurity and Acute Malnutrition Analysis",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides context on food insecurity and malnutrition in Kenya.",
"context_sentence": "[32] [33] Floods, storms, landslides, and extreme heat threaten the functioning of health infrastructure and hinder health service delivery and access especially in flood prone Coastal regions, Tana River region, the Lake Victoria Basin, and rural remote areas of the country. 29 Kenya: IPC Acute Food Insecurity and Acute Malnutrition Analysis (July 2023 - January 2024) 30 https://www. cdc.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 47,
"mention_text": "Seasonal case and pharmaceutical consumption data",
"corrected_name": "Seasonal case and pharmaceutical consumption data",
"specificity": "vague",
"downstream_impact_channel": "Resource Allocation",
"data_use_impact": "Data informs procurement decisions for pharmaceuticals.",
"context_sentence": "This will improve the capacity of primary care level facilities to provide better health services in the face of the increasing burden of disease due to climate change. Seasonal case and pharmaceutical consumption data will be used to inform procurement of the pharmaceuticals to ensure adequate supplies based on seasonal patterns to address climate sensitive conditions. **(adaptation)** **Climate sensitive community health service planning:** Climate sensitive planning including the use of climate vulnerability and meteorologic data will be used to guide the distribution of essential HTPs, diagnostic and medical equipment avoiding stormy, heavy rains and heavy flooding days.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 47,
"mention_text": "data on climate vulnerable locations",
"corrected_name": "data on climate vulnerable locations",
"specificity": "vague",
"downstream_impact_channel": "Resource Allocation",
"data_use_impact": "Used to ensure adequate quantities of pharmaceuticals are being used.",
"context_sentence": "**(adaptation)** **Climate sensitive community health service planning:** Climate sensitive planning including the use of climate vulnerability and meteorologic data will be used to guide the distribution of essential HTPs, diagnostic and medical equipment avoiding stormy, heavy rains and heavy flooding days. Specifically, data on climate vulnerable locations and data on previous use of HPTs for climate sensitive diseases as well as patterns of pharmaceutical use following climate shocks will be used to ensure adequate quantities of pharmaceuticals are being used. To ensure pharmaceuticals are available ahead of shocks and that these do not impact distribution, funding will be made available, and planning will be done to ensure distributions ahead of shocks.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "010_BOSIB1554c314c0a2187c019d7e85bc2a91",
"document_title": "Kenya - Building Resilient and Responsive Health Systems Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 47,
"mention_text": "climate vulnerability and meteorologic data",
"corrected_name": "climate vulnerability and meteorologic data",
"specificity": "vague",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Guides distribution of health resources based on climate conditions.",
"context_sentence": "Seasonal case and pharmaceutical consumption data will be used to inform procurement of the pharmaceuticals to ensure adequate supplies based on seasonal patterns to address climate sensitive conditions. **(adaptation)** **Climate sensitive community health service planning:** Climate sensitive planning including the use of climate vulnerability and meteorologic data will be used to guide the distribution of essential HTPs, diagnostic and medical equipment avoiding stormy, heavy rains and heavy flooding days. Specifically, data on climate vulnerable locations and data on previous use of HPTs for climate sensitive diseases as well as patterns of pharmaceutical use following climate shocks will be used to ensure adequate quantities of pharmaceuticals are being used.",
"pdf_url": "/pdfs/010_BOSIB1554c314c0a2187c019d7e85bc2a91.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 3,
"mention_text": "District Health Information Software 2",
"corrected_name": "District Health Information Software 2",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a data source for health information management.",
"context_sentence": "ABBREVIATIONS AND ACRONYMS |ANC|Antenatal Care| |---|---| |BEmONC|Basic Emergency Obstetric and Newborn Care| |BHI|Boma Health Initiative| |BHW|Boma Health Worker| |BHT|Boma Health Team| |BPHNS|Basic Package of Health and Nutrition Services| |CEmONC|Comprehensive Emergency Obstetric and Newborn Care| |CEN|Country Engagement Note| |CERC|Contingent Emergency Response Component| |CMR|Clinical Management of Rape| |COVID-19|Coronavirus Disease 2019| |CRA|Commission for Refugee Affairs| |DHIS2|District Health Information Software 2| |ESF|Environmental and Social Framework| |ESMAP|Energy Sector Management Assistance Program| |ESMF|Environmental and Social Management Framework| |EU|European Union| |FCDO|Foreign, Commonwealth and Development Office| |FCV|Fragility, Conflict and Violence| |FM|Financial Management| |Gavi|Gavi, the Vaccine Alliance| |GBV|Gender-based Violence| |GCP|Global Challenges Program| |GDP|Gross Domestic Product| |GEMS|Geo-Enabling for Monitoring and Supervision| |GRM|Grievance Redress Mechanism| |HCI|Human Capital Index| |HEIS|Hands-on Extended Implementation Support| |HMIS|Health Management Information System| |HNP|Health, Nutrition, and Population| |HPF|Health Pooled Fund| |HRH|Human Resources for Health| |HSC|High-Level Steering Committee| |HSF|Health Service Functionality| |HSSP|Health Sector Strategic Plan| |HSTP|Health Sector Transformation Project| |ICRC|International Committee of the Red Cross| |IDP|Internally Displaced People| |IDSR|Integrated Disease Surveillance and Response| |IEC|Information. Education, and Communication| |IMF|International Monetary Fund| |IMNCI|Integrated Management of Neonatal and Childhood Illness| |IP|Implementing Partner| |IPC|Integrated Food Security Phase Classification| |IPF|Investment Project Financing|",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 13,
"mention_text": "2022 Household Budget Survey",
"corrected_name": "2022 Household Budget Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited to support claims about poverty levels in South Sudan.",
"context_sentence": "4 percent in FY 2022/23, [1] weighed down by a fourth consecutive year of flooding, lingering impacts of the COVID-19 pandemic, violence flareups, and higher food inflation due to global crises. [3] The 2022 Household Budget Survey estimates that poverty levels in South Sudan remain persistently high–at around 80 percent of the population, with 6 in 10 South Sudanese living in extreme poverty (below the food poverty line). Nearly 80 percent of South Sudan’s population lives in rural areas where infrastructure is limited, complicating service delivery, particularly during the rainy season.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 13,
"mention_text": "Macro Poverty Indicator",
"corrected_name": "Macro Poverty Indicator",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a reference for poverty metrics.",
"context_sentence": "1World Bank. Macro Poverty Indicator, October 2023. 2 Inform Risk Index, 2024: https://www.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 13,
"mention_text": "Inform Risk Index, 2024",
"corrected_name": "Inform Risk Index, 2024",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a data source for context on water security.",
"context_sentence": "Macro Poverty Indicator, October 2023. 2 Inform Risk Index, 2024: https://www. worldbank.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 15,
"mention_text": "Human Capital Index",
"corrected_name": "Human Capital Index",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a reference for understanding human capital metrics.",
"context_sentence": "**Cultural norms and a preference for larger families dampen the demand for reproductive and maternal health** --- [8] World Bank. Human Capital Index, 2020. [9] The HCI uses two primary health indicators: the stunting rate in children under the age of 5; and the adult survival rate.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 16,
"mention_text": "2017 EPI coverage survey",
"corrected_name": "2017 EPI coverage survey",
"specificity": "named",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited to support claims about immunization rates and disease prevalence.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) estimated at 49 percent for the first dose of the measles vaccine, [19] while a 95 percent coverage rate is needed to substantially reduce transmission. [20] Additionally, the 2017 EPI coverage survey estimated that only 18. 9 percent of children are fully immunized, contributing to the high levels of vaccine preventable diseases.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 20,
"mention_text": "DHIS2",
"corrected_name": "DHIS2 data collection and entry systems",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Facilitates health data management and service delivery oversight.",
"context_sentence": "health service delivery and coordination. [29] In collaboration and through the leadership of the MoH, SMoHs, and CHDs, UNICEF will be responsible for (a) oversight and coordination of health services and DHIS2 data collection and entry systems; (b) supervision and quality assurance of IPs and health facilities in line with national plans and guidelines; (c) coordinating and conducting in-service training; (d) through an integrated approach, developing the capacity of SMoHs to plan, supervise, and oversee service delivery and the DHIS2 system; and (e) integrated pharmaceutical procurement, quantification, and forecasting. Contracted IPs will be responsible for: (a) delivering quality health services; (b) quality improvement activities; (c) supervision of health facilities (d) recording of HMIS data, provision of HMIS data to CHDs, and support for entry of DHIS2 data into DHIS2 and data use; (e) in-service training complementing UNICEF’s training activities; (f) health facility stock management, recording, and rational use; (g) through an integrated approach, developing the capacity of CHDs to plan, supervise, and oversee service delivery and the DHIS2 system; and (h) sustain the support of the innovation activities under CERHSSP and expand using the digital health technology to address service delivery and supply chain issues.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 20,
"mention_text": "DHIS2 system",
"corrected_name": "DHIS2 system",
"specificity": "named",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Facilitates health data management and service delivery oversight.",
"context_sentence": "[29] In collaboration and through the leadership of the MoH, SMoHs, and CHDs, UNICEF will be responsible for (a) oversight and coordination of health services and DHIS2 data collection and entry systems; (b) supervision and quality assurance of IPs and health facilities in line with national plans and guidelines; (c) coordinating and conducting in-service training; (d) through an integrated approach, developing the capacity of SMoHs to plan, supervise, and oversee service delivery and the DHIS2 system; and (e) integrated pharmaceutical procurement, quantification, and forecasting. Contracted IPs will be responsible for: (a) delivering quality health services; (b) quality improvement activities; (c) supervision of health facilities (d) recording of HMIS data, provision of HMIS data to CHDs, and support for entry of DHIS2 data into DHIS2 and data use; (e) in-service training complementing UNICEF’s training activities; (f) health facility stock management, recording, and rational use; (g) through an integrated approach, developing the capacity of CHDs to plan, supervise, and oversee service delivery and the DHIS2 system; and (h) sustain the support of the innovation activities under CERHSSP and expand using the digital health technology to address service delivery and supply chain issues. --- [29] Subcomponent 1.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 23,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Facilitates routine data collection and standardization processes.",
"context_sentence": "40 million MDTF]). ** This subcomponent will focus on developing systems and procedures for the national HMIS, with an emphasis on supporting the collection of routine data through DHIS2, to standardize data collection, entry and cleaning, as well as instituting data quality improvement practices. This will enhance targeting and data tracking for refugees and provide regularly updated information to understand the evolving needs on the ground that will aid further in the decision-making process.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 23,
"mention_text": "Health Service Functionality (HSF) Database",
"corrected_name": "Health Service Functionality (HSF) Database",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Primary resource for health service functionality assessment and monitoring.",
"context_sentence": "This will enhance targeting and data tracking for refugees and provide regularly updated information to understand the evolving needs on the ground that will aid further in the decision-making process. The subcomponent will: (a) finance procurement of information communication technology equipment at the national level and train staff on data entry and use; (b) train trainers to develop health facility staff data entry, management, and use capacity; (c) create interoperability and integration between data systems and ensure data sharing, storage and backup; (d) develop, print, and disseminate Standard Operating Procedures for HMIS data entry, cleaning, quality improvement, and use at all levels; (e) conduct data review meetings and generate data use tools; (f) establish and operate the National and State level HMIS and Monitoring and Evaluation (M&E) Technical Working Groups; (g) conduct data quality improvement activities at the facility and national level; (h) operationalize a national and state level research committee, building on existing structure; (i) conduct an annual health sector review meeting; and (j) maintain and institutionalize the Health Service Functionality (HSF) Database.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 24,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Contextual reference for health management information systems.",
"context_sentence": "1 and will build on arrangements through the COVID-19 Emergency Response and Health System Preparedness Project (CERHSPPP176480), incorporating lessons learned from the project. TPM will provide critical assessment and survey data, in complement to routine data through DHIS2, in support of the country’s overall HMIS. The TPM arrangements will incorporate quarterly health facility functionality assessments and data quality verification; biannual health service quality assessments, patient feedback, and BHI performance visits; and baseline and endline household coverage and citizen engagement surveys.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 24,
"mention_text": "BHI data",
"corrected_name": "BHI data",
"specificity": "vague",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Facilitates the development of a data visualization platform.",
"context_sentence": "38 million MDTF]). ** To facilitate data sharing and use, the subcomponent will develop a data visualization and use platform (software) focusing on visual representations of TPM and routine data, inclusive of BHI data. Linking of platforms, including DHIS2 and the HSF platform will be integral to the work.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 24,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Integration of data platforms for operational efficiency.",
"context_sentence": "** To facilitate data sharing and use, the subcomponent will develop a data visualization and use platform (software) focusing on visual representations of TPM and routine data, inclusive of BHI data. Linking of platforms, including DHIS2 and the HSF platform will be integral to the work. The data visualization platform will include visualization of Results Framework data and other core indicators from the HSSP, linking TPM and DHIS2 data using maps, charts, and graphs and will incorporate HSF data along with the overlay of health and meteorologic data to better understand the impact of climatic patterns on health.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 24,
"mention_text": "HSF data",
"corrected_name": "HSF data",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Incorporation into visualizations for analysis of health impacts.",
"context_sentence": "Linking of platforms, including DHIS2 and the HSF platform will be integral to the work. The data visualization platform will include visualization of Results Framework data and other core indicators from the HSSP, linking TPM and DHIS2 data using maps, charts, and graphs and will incorporate HSF data along with the overlay of health and meteorologic data to better understand the impact of climatic patterns on health. The platform will include analysis of health service delivery in refugee and host community areas to facilitate improved health service delivery among the critical underserved populations.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 30,
"mention_text": "refugee household data",
"corrected_name": "refugee household data",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Data source for project planning and implementation.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) some filters mainly related to the presence of children below 12 years and pregnant women. The project will rely on the refugee household data collected by UNHCR. The targeting methodology will be tested to ensure its applicability to refugees and adapted as needed.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 46,
"mention_text": "Quarterly Health Facility Assessment",
"corrected_name": "Quarterly Health Facility Assessment",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for monitoring health service coverage and performance.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) **Monitoring & Evaluation Plan: PDO Indicators by PDO Outcomes** |Expand access to basic package of health and nutrition services|Col2| |---|---| |**BHI Coverage (Percentage)**|**BHI Coverage (Percentage)**| |Description|The proportion of functional BHI as per the standard (based on the population)| |Frequency|Quarterly| |Data source|Quarterly Health Facility Assessment| |Methodology for Data
Collection|Quarterly Health Facility Assessment report| |Responsibility for Data
Collection|Third Party Monitor / PMU Responsible for Monitoring; Measures subcomponent 1. 1 Under UNICEF| |**BHI Coverage for refugees (Percentage) BHI**|**BHI Coverage for refugees (Percentage) BHI**| |Description|The proportion of functional BHI as per the standard (based on the population)| |Frequency|Quarterly| |Data source|Quarterly Health Facility Assessment| |Methodology for Data
Collection|Quarterly Health Facility Assessment report| |Responsibility for Data
Collection|Third Party Monitor / PMU Responsible for Monitoring; Measures sub-component 1.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 46,
"mention_text": "MoH budgetary data",
"corrected_name": "MoH budgetary data",
"specificity": "descriptive",
"downstream_impact_channel": "Resource Allocation",
"data_use_impact": "Used to assess budget execution rates in health sector analysis.",
"context_sentence": "1 Under UNICEF| |**BHI Coverage for HC (Percentage) Number of health facilities providing at least 75 percent of the basic package of health services to host**
**communities (Number)**|**BHI Coverage for HC (Percentage) Number of health facilities providing at least 75 percent of the basic package of health services to host**
**communities (Number)**| |Description|The proportion of functional BHI as per the standard (based on the population)| |Frequency|Quarterly| |Data source|Quarterly Health Facility Assessment| |Methodology for Data
Collection|Quarterly Health Facility Assessment report| |Responsibility for Data
Collection|Third Party Monitor / PMU Responsible for Monitoring; Measures subcomponent 1. 1 Under UNICEF| |**Percentage of MoH budget implemented (Budget execution rate) (Percentage)**|**Percentage of MoH budget implemented (Budget execution rate) (Percentage)**| |Description|The proportion of Health budget expenditure to allocation| |Frequency|Quarterly| |Data source|MoH budgetary data| |Methodology for Data
Collection|PMU and WB| |Responsibility for Data
Collection|PMU and WB| |**Percentage of general service availability score (Percentage)**|**Percentage of general service availability score (Percentage)**| |Description|Service availability is described by an index using the three areas of tracer indicators (infrastructure, workforce, and
utilization). This is made possible by expressing the indicators as a percentage score un-weighted average of the
three areas| |Frequency|Quarterly| |Data source|Quarterly Health Facility Assessment| |Methodology for Data
Collection|TPM report| |Responsibility for Data
Collection|TPM / PMU| |**Percentage of general service availability score in host communities’ areas (Percentage)**|**Percentage of general service availability score in host communities’ areas (Percentage)**| |Description|Service availability is described by an index using the three areas of tracer indicators (infrastructure, workforce, and
utilization).",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 47,
"mention_text": "DHIS",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "None",
"data_use_impact": "",
"context_sentence": "|Component 1: Provision of Basic Health Services Nationwide|Col2| |---|---| |**Percentage of Gender-Based Violence Services provided (Percentage) **|**Percentage of Gender-Based Violence Services provided (Percentage) **| |Description|Percentage of SGBV survivors who treated for assault + SGBV cases provided with emergency contraceptives +
SGBV cases referred out + SGBV survivors given PEP + Clinical management of rape + OPD Rape and GBV services| |Frequency|Quarterly| |Data source|DHIS| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH and UNICEF; Measures subcomponents 1. 1 and 1.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 47,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data collection methodology for health service indicators.",
"context_sentence": "|Component 1: Provision of Basic Health Services Nationwide|Col2| |---|---| |**Percentage of Gender-Based Violence Services provided (Percentage) **|**Percentage of Gender-Based Violence Services provided (Percentage) **| |Description|Percentage of SGBV survivors who treated for assault + SGBV cases provided with emergency contraceptives +
SGBV cases referred out + SGBV survivors given PEP + Clinical management of rape + OPD Rape and GBV services| |Frequency|Quarterly| |Data source|DHIS| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH and UNICEF; Measures subcomponents 1. 1 and 1.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 48,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of health-related data for various indicators.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) |Frequency|Quarterly| |---|---| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH and UNICEF; Measures subcomponent 1. 1 Under UNICEF| |**Percentage of HC women receiving four ANC visits (Percentage)**|**Percentage of HC women receiving four ANC visits (Percentage)**| |Description|Percentage of HC women at childbearing age with a live birth in a given time period who received antenatal
care, four times or more times from any provider.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 48,
"mention_text": "UNICEF/TPM",
"corrected_name": "UNICEF/TPM report",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for monitoring health sector indicators.",
"context_sentence": ") climate friendly rehabilitation measures as defined by a set list of measures
that go beyond standard practice to reduce flooding, heavy rain, and heat risk to health facilities; and/or b. )
water and sanitation improvements as defined as improvements in the availability of safe water (drilling of
boreholes, piping of water, safe rainwater catchment) and sanitation (pit latrines to ESF specifications; flushable
toilets)| |Frequency|Quarterly| |Data source|UNICEF/TPM report| |Methodology for Data
Collection|UNICEF/TPM| |Responsibility for Data
Collection|UNICEF/TPM| |**Percentage of deliveries attended by skilled health personnel (Number)**|**Percentage of deliveries attended by skilled health personnel (Number)**| |Description|Percentage of live births attended by skilled health personnel during a specified time period. | |Frequency|Quarterly| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH and UNICEF; Measures subcomponent 1.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 49,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of health data for monitoring vaccination coverage.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) |Percentage of children under one year of age who have received 1st & 3rd dose of pentavalent vaccine (Percentage)|Col2| |---|---| |Description|Proportion of surviving infants who have received 1st & 3rd dose of the combined diphtheria, tetanus toxoid,
pertussis, Hepatitis B and Homophiles influenza type b vaccine| |Frequency|Quarterly| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH and UNICEF; Measures subcomponent 1. 1 Under UNICEF| |**Percentage of refugee children under one year of age who have received 1st & 3rd dose of pentavalent vaccine (Percentage)**|**Percentage of refugee children under one year of age who have received 1st & 3rd dose of pentavalent vaccine (Percentage)**| |Description|Proportion of surviving infants who have received 1st & 3rd dose of the combined diphtheria, tetanus toxoid,
pertussis, Hepatitis B and Homophiles influenza type b vaccine| |Frequency|Quarterly| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH and UNICEF; Measures subcomponent 1.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 50,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Source of health service delivery statistics for children.",
"context_sentence": "1 Under UNICEF| |**Percentage of children aged <59 months receiving Vitamin A supplements twice a year**|**Percentage of children aged <59 months receiving Vitamin A supplements twice a year**| |Description|Percentage of children aged 6–59 months who received two age-appropriate doses of vitamin A in the past 12
months. | |Frequency|Quarterly| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH and UNICEF; Measures subcomponent 1. 1 Under UNICEF| |**Percentage of refugee children aged <59 months receiving Vitamin A supplements twice a year**|**Percentage of refugee children aged <59 months receiving Vitamin A supplements twice a year**| |Description|Percentage of children aged 6–59 months who received two age-appropriate doses of vitamin A in the past 12
months.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 52,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Source of health-related data for maternal and child health indicators.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) |Col1|age-specific mortality rates of that period, expressed per 1000 live births| |---|---| |Frequency|Annually| |Data source|Survey| |Methodology for Data
Collection|Survey| |Responsibility for Data
Collection|Third Party Monitor / PMU| |**Under ive years’ mortality rate (per 1000 live births) for refugees**|**Under ive years’ mortality rate (per 1000 live births) for refugees**| |Description|The probability of a child born in a specific year or period dying before reaching the age of 5 years, if subject to
age-specific mortality rates of that period, expressed per 1000 live births| |Frequency|Annually| |Data source|Survey| |Methodology for Data
Collection|Survey| |Responsibility for Data
Collection|Third Party Monitor / PMU| |** ntermittent prevention o malaria during pregnancy ( p≥3)**|** ntermittent prevention o malaria during pregnancy ( p≥3)**| |Description|Percentage of women who received three or more doses of intermittent preventive treatment during antenatal
care visits during their last pregnancy| |Frequency|Quarterly| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH and UNICEF; Measures subcomponent 1. 1 Under UNICEF| |**Maternal mortality ratio**|**Maternal mortality ratio**| |Description|Number of maternal deaths from any cause related to or aggravated by pregnancy or its management (excluding
accidental or incidental causes) during pregnancy and childbirth or within 42 days of termination of pregnancy,
irrespective of the duration and site of the pregnancy, expressed per 100 000 live births, for a specified time
period.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 53,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for measuring health facility availability of medicines.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) |Frequency|Annually| |---|---| |Data source|Survey| |Methodology for Data
Collection|Survey| |Responsibility for Data
Collection|Third Party Monitor / PMU| |**Contraceptive prevalence rate (any method)**|**Contraceptive prevalence rate (any method)**| |Description|Percentage of women aged 15− 9 years, married or in union, who are currently using, or whose sexual partner is
using, at least one method of contraception, regardless of the method used. | |Frequency|Annually| |Data source|Survey| |Methodology for Data
Collection|Survey| |Responsibility for Data
Collection|Third Party Monitor / PMU| |**The proportion of patients with suspected malaria who received a parasitologic test (RDT/Microscopy)**|**The proportion of patients with suspected malaria who received a parasitologic test (RDT/Microscopy)**| |Description|Percentage of suspected malaria cases that received parasitological diagnosis either by microscopy or RDT| |Frequency|Quarterly| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH / UNICEF; Measures subcomponent 1. 1 Under UNICEF| |**Proportion of health facilities that have a core set of relevant basic medicines and commodities available and affordable**|**Proportion of health facilities that have a core set of relevant basic medicines and commodities available and affordable**| |Description|Proportion of health facilities that have a core set of relevant essential medicines available and affordable on a
sustainable basis.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 53,
"mention_text": "WHO report",
"corrected_name": "WHO report",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Cited as a source of data for health indicators.",
"context_sentence": "| |Frequency|Quarterly| |Data source|WHO/MoH report| |Methodology for Data
Collection|WHO to provide data| |Responsibility for Data
Collection|UNICEF/WHO/ PMU- Measures subcomponent 2. 1 under WHO| |**Percentage of SMoH/CHDs with work plans aligned to the HSSP**|**Percentage of SMoH/CHDs with work plans aligned to the HSSP**| |Description|Percentage of SMoH and CHDs that develop annual operational work plans aligned to HSSP| |Frequency|Quarterly| |Data source|WHO report| |Methodology for Data
Collection|WHO to provide data / TPM to verify| |Responsibility for Data
Collection|PMU / TPM; Measures subcomponent 2. 1 under WHO| |**Proportion of health alerts investigated in 48 hrs**|**Proportion of health alerts investigated in 48 hrs**|",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 54,
"mention_text": "WHO",
"corrected_name": "data source WHO",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source for health-related data.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) |Description|Proportion of an alert about a disease, condition, or event of public health
importance which may be true or invented| |---|---| |Frequency|Quarterly| |Data source|WHO| |Methodology for Data
Collection|Quarterly and biannual TPM| |Responsibility for Data
Collection|PMU / TPM; Measures subcomponent 2. 1 under WHO| |**Birth registration notification coverage**|**Birth registration notification coverage**| |Description|Proportion of live births notified by the health facility among the total expected live births in specific period| |Frequency|Quarterly| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH / UNICEF| |**Maternal death review coverage (%)**|**Maternal death review coverage (%)**| |Description|Percentage of maternal deaths occurring in the health facility that were audited and reviewed.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 54,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for monitoring birth registration coverage.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) |Description|Proportion of an alert about a disease, condition, or event of public health
importance which may be true or invented| |---|---| |Frequency|Quarterly| |Data source|WHO| |Methodology for Data
Collection|Quarterly and biannual TPM| |Responsibility for Data
Collection|PMU / TPM; Measures subcomponent 2. 1 under WHO| |**Birth registration notification coverage**|**Birth registration notification coverage**| |Description|Proportion of live births notified by the health facility among the total expected live births in specific period| |Frequency|Quarterly| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH / UNICEF| |**Maternal death review coverage (%)**|**Maternal death review coverage (%)**| |Description|Percentage of maternal deaths occurring in the health facility that were audited and reviewed. | |Frequency|Quarterly| |Data source|WHO| |Methodology for Data
Collection|Quarterly and biannual TPM| |Responsibility for Data
Collection|PMU / TPM; Measures subcomponent 2.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 55,
"mention_text": "UNICEF",
"corrected_name": "UNICEF",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for monitoring complaints addressed by Grievance Redress Mechanisms.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) |Description|Percentage of HC health facilities receiving at least one quarterly supervision visit within the quarter| |---|---| |Frequency|Quarterly| |Data source|MoH; TPM| |Methodology for Data
Collection|MoH to provide data; TPM to verify| |Responsibility for Data
Collection|MoH / TPM| |**Percentage of health facilities receiving quarterly supervision visits from the CHD (Percentage)**|**Percentage of health facilities receiving quarterly supervision visits from the CHD (Percentage)**| |Description|Percentage of health facilities receiving at least one quarterly supervision visit within the quarter from the CHD| |Frequency|Quarterly| |Data source|MoH; TPM| |Methodology for Data
Collection|MoH to provide data; TPM to verify| |Responsibility for Data
Collection|MoH / TPM| |**Percentage of health facilities receiving quarterly supervision visits from State MoH (Percentage)**|**Percentage of health facilities receiving quarterly supervision visits from State MoH (Percentage)**| |Description|Percentage of health facilities receiving at least one quarterly supervision visit within the quarter from the State
MoH| |Frequency|Quarterly| |Data source|MoH; TPM| |Methodology for Data
Collection|MoH to provide data; TPM to verify| |Responsibility for Data
Collection|MoH / TPM| |**Percentage of complaints to Grievance Redress Mechanisms satisfactorily addressed in a timely manner**|**Percentage of complaints to Grievance Redress Mechanisms satisfactorily addressed in a timely manner**| |Description|Percentage of complaints submitted to the GRM addressed according to the protocol and within agreed time
period. | |Frequency|Quarterly| |Data source|UNICEF| |Methodology for Data
Collection|UNICEF to provide data / TPM to verify| |Responsibility for Data
Collection|UNICEF; PMU| |**Percentage of completeness of reporting by facilities**|**Percentage of completeness of reporting by facilities**| |Description|Percentage of facilities that submit complete reports within the required deadline. | |Frequency|Quarterly| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH/ PMU| |**Percentage of states that conducted quarterly coordination meetings with a review of data and documented with minutes including**
**action items and follow-up**|**Percentage of states that conducted quarterly coordination meetings with a review of data and documented with minutes including**
**action items and follow-up**| |Description|Percentage of State’s quarterly health service delivery coordination meetings for the health sector held with a
review of data included in the meeting and documented with minutes which include action items and follow-up
on action items.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 55,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for assessing reporting completeness by facilities.",
"context_sentence": "| |Frequency|Quarterly| |Data source|UNICEF| |Methodology for Data
Collection|UNICEF to provide data / TPM to verify| |Responsibility for Data
Collection|UNICEF; PMU| |**Percentage of completeness of reporting by facilities**|**Percentage of completeness of reporting by facilities**| |Description|Percentage of facilities that submit complete reports within the required deadline. | |Frequency|Quarterly| |Data source|DHIS2| |Methodology for Data
Collection|DHIS2| |Responsibility for Data
Collection|MoH/ PMU| |**Percentage of states that conducted quarterly coordination meetings with a review of data and documented with minutes including**
**action items and follow-up**|**Percentage of states that conducted quarterly coordination meetings with a review of data and documented with minutes including**
**action items and follow-up**| |Description|Percentage of State’s quarterly health service delivery coordination meetings for the health sector held with a
review of data included in the meeting and documented with minutes which include action items and follow-up
on action items. Meetings are to be held quarterly in each state.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 58,
"mention_text": "household and health facility surveys",
"corrected_name": "household and health facility surveys",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Data collection for understanding community and health facility needs.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) - NGOs sub-contracted by the management organization will deliver the identified package of health services nationwide as per the required standards. - TPM agency/ies will conduct household and health facility surveys along with surveys to solicit community and patient feedback. The TPM agency/ies will submit quarterly monitoring reports directly to the PMU, the World Bank, and UNICEF.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 63,
"mention_text": "household and health facility surveys",
"corrected_name": "household and health facility surveys",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used to monitor health service delivery and outcomes.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) |Pharmaceutical
Procurement
and Logistics
agency|Competitively selected
agency|• Procure pharmaceuticals
• Conduct last mile delivery to health facilities| |---|---|---| |World Health
Organization|WHO|• Conduct state and federal level MoH capacity building activities
• Conduct health systems strengthening activities| |Third Party
Monitor(s)|TPM agency/ies
contracted by the PMU|• Conduct quarterly verification visits
• Conduct household and health facility surveys to monitor health service
delivery and health outcomes
• Conduct community satisfaction surveys
• Monitor health facility functionality
• Prepare analysis, presentations, and bulletins presenting monitoring results
and findings
• Capacity building for state and district level staff (on-the-job training on M&E
activities). | Flow of Funds, Fiduciary Safeguards, and Monitoring Arrangements 13.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 63,
"mention_text": "community satisfaction surveys",
"corrected_name": "community satisfaction surveys",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used to assess community feedback on health services.",
"context_sentence": "**The World Bank** South Sudan Health Sector Transformation Project (HSTP) (P181385) |Pharmaceutical
Procurement
and Logistics
agency|Competitively selected
agency|• Procure pharmaceuticals
• Conduct last mile delivery to health facilities| |---|---|---| |World Health
Organization|WHO|• Conduct state and federal level MoH capacity building activities
• Conduct health systems strengthening activities| |Third Party
Monitor(s)|TPM agency/ies
contracted by the PMU|• Conduct quarterly verification visits
• Conduct household and health facility surveys to monitor health service
delivery and health outcomes
• Conduct community satisfaction surveys
• Monitor health facility functionality
• Prepare analysis, presentations, and bulletins presenting monitoring results
and findings
• Capacity building for state and district level staff (on-the-job training on M&E
activities). | Flow of Funds, Fiduciary Safeguards, and Monitoring Arrangements 13.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 65,
"mention_text": "bi-annual census of health facilities",
"corrected_name": "bi-annual census of health facilities",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Data collection for health facility monitoring and assessment.",
"context_sentence": "** All data collection methods will be administered during the same visits, at the frequency indicated. A phased approach will be used to support the expansion of TPM in the country, with initial sampling for quarterly and bi-annual assessments moving to a bi-annual census of health facilities once monitoring capacity is established, anticipated in Year 2. Quarterly TPM visits will incorporate the following: (i) **Quarterly health facility functionality assessments.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 65,
"mention_text": "Biennial household coverage surveys",
"corrected_name": "Biennial household coverage surveys",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Contextual information on data collection methods for the project.",
"context_sentence": "**(b)** **Periodic TPM data collection:** (i) Biennial household coverage surveys as baseline/endline surveys in the project’s three-year timeframe. [35] (ii) Citizen engagement survey collected at the household level, with the coverage survey every other year.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 65,
"mention_text": "Citizen engagement survey",
"corrected_name": "Citizen engagement survey",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual information about survey coverage and frequency.",
"context_sentence": "**(b)** **Periodic TPM data collection:** (i) Biennial household coverage surveys as baseline/endline surveys in the project’s three-year timeframe. [35] (ii) Citizen engagement survey collected at the household level, with the coverage survey every other year. 2.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 65,
"mention_text": "DHIS2",
"corrected_name": "DHIS2",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Source of health data for platform integration.",
"context_sentence": "The platform will include the following: (a) Interactive data visualization platform presenting Results Framework and core indicators. The platform will use data from DHIS2 and the TPM and will include BHI data. It will be updated at least on a quarterly basis.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 65,
"mention_text": "BHI data",
"corrected_name": "BHI data",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Informs platform functionality and data integration.",
"context_sentence": "The platform will include the following: (a) Interactive data visualization platform presenting Results Framework and core indicators. The platform will use data from DHIS2 and the TPM and will include BHI data. It will be updated at least on a quarterly basis.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 65,
"mention_text": "interim surveys",
"corrected_name": "interim surveys",
"specificity": "vague",
"downstream_impact_channel": "None",
"data_use_impact": "Contextual reference to types of data collection.",
"context_sentence": "--- [35] Given the planned project length of three years, this is a baseline and an endline survey. Potential timeframe changes would include interim surveys, which are",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "011_BOSIB12886229a02a1bcdc12ee681b5fe59",
"document_title": "South Sudan - Health Sector Transformation Project",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 70,
"mention_text": "UNHCR data analysis",
"corrected_name": "UNHCR data analysis",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Basis for projecting refugee population estimates.",
"context_sentence": "1 Refugee and Asylum-Seeker Population in South Sudan** _Source_ : UNHCR, September 2023 8. The projected refugee population estimates for 2024 and 2025 are as follows – based on UNHCR data analysis: **Table 5. 2 Projected Refugee Population Estimates** |Col1|2023|Col3|2024|Col5|2025|Col7| |---|---|---|---|---|---|---| ||Total|Assisted|Total|Assisted|Total|Assisted| |Refugees|366,028|366,028|446,625|446,625|456,496|456,496| |Asylum-Seekers|4,908|4,908|6,799|6,799|7,397|7,397| |Internally Displaced Persons|2,267,236|500,000|2,027,331|540,000|2,392,236|650,000| |Returned Refugees|555,000|555,000|870,000|870,000|1,250,000|1,250,000| |TOTAL|3,193,172|1,425,936|3,350,755|1,863,424|4,106,129|2,363,893| **Consultation with UNHCR** 9.",
"pdf_url": "/pdfs/011_BOSIB12886229a02a1bcdc12ee681b5fe59.pdf"
},
{
"document_name": "012_04ffdb062b09d6fec12572720052760d-unhcr_dec2006",
"document_title": "NEW ISSUES IN REFUGEE RESEARCH",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 19,
"mention_text": "Index of Human Insecurity_",
"corrected_name": "Index of Human Insecurity",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a reference for human insecurity metrics.",
"context_sentence": "63 Steven Lonergan et al. , _The Index of Human Insecurity_, VISO Bulletin Issue No. 6 (Jan.",
"pdf_url": "/pdfs/012_04ffdb062b09d6fec12572720052760d-unhcr_dec2006.pdf"
},
{
"document_name": "013_BOSIB0efb09b920d90858a0135df22da7d1",
"document_title": "Ethiopia - Digital ID for Inclusion and Services Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 4,
"mention_text": "SESRE Socioeconomic Survey of Refugees in Ethiopia",
"corrected_name": "SESRE Socioeconomic Survey of Refugees in Ethiopia",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Listed as a potential data source for context or analysis.",
"context_sentence": "PMO Prime Minister's Office PMU Project Management Unit PP Procurement Plan PPSD Project Procurement Strategy for Development PSC Project Steering Committee PSNP Productive Safety Net Program RRS Refugees and Returnees Service SEA/SH Sexual Exploitation and Abuse/Sexual Harassment SEP Stakeholder Engagement Plan SESRE Socioeconomic Survey of Refugees in Ethiopia SPD Standard Procurement Document STEP Systematic Tracking of Exchanges in Procurement TC Technical Committee UNHCR United Nations High Commissioner for Refugees WHR Window for Host Communities and Refugees",
"pdf_url": "/pdfs/013_BOSIB0efb09b920d90858a0135df22da7d1.pdf"
},
{
"document_name": "013_BOSIB0efb09b920d90858a0135df22da7d1",
"document_title": "Ethiopia - Digital ID for Inclusion and Services Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "2022 Global Findex Survey",
"corrected_name": "2022 Global Findex Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
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"context_sentence": "13. **According to the 2017 ID4D-Findex Survey, 36 percent of the population aged 18 and older lack a Kebele ID,** **with a significant gender gap of 46 percent of women lacking one compared to 25 percent of men, creating barriers for** **a large portion of people to access services and economic opportunities. ** Kebele ID coverage reaches 70 percent for adults older than 25 and 80 percent for the highest income quintile.",
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"context_sentence": "pdf) 16 The GoE (RRS) is now fine-tuning its draft pledges for the upcoming second GRF to be held in December 2023. It is expected that refugee inclusion [in the Fayda Digital ID system will contribute toward filling identification-related gaps in the pledge implementation process. ](https://x.",
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"context_sentence": "[39] NIDP will work closely with RRS and UNHCR to utilize existing and upcoming initiatives for issuing and renewing refugee ID cards. This involves reusing biographic and biometric data collected by RRS through the UNHCR ProGres system for Fayda registration. NIDP will also develop registration strategies for individuals who require to be ‘introduced’ by a witness in the absence of supporting documentation (for example, due to delay in issuance of refugee cards).",
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"context_sentence": "**_ In Ethiopia, there is a notable gender gap in the existing ID system (Kebele ID) coverage. According to the ID4D-Findex Survey (2017), 36 percent of the population ages 18 and older lack a Kebele ID, with significant gender gap of 46 percent of women lacking one, compared to 25 percent of men. **ANALYSIS:** **Gender gaps identified** **ACTIONS:** **Proposed actions Taken to address gaps** **INDICATORS** : **How bridging the gap** **will be measured** **Women have less knowledge about benefits** **Subcomponent 1.",
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"context_sentence": "**Lack of sex-disaggregated ID data. ** The current Kebele ID system does not produce any aggregated data about ID ownership, and sex-disaggregated data are not collected. The lack of data, and especially of sexdisaggregated data, inhibits the GoE’s ability to design evidence-based and genderresponsive ID policy and programming.",
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"context_sentence": "Antoine Sleiman 10 19 4 13 10 19 4 9 6 4 9 11 8 6 810 5 9 7 11 5 6 4 4 2 7 4 4 7 2 3 2 1 2 2 5 4 1 1 **53 UN Agencies and NGOs operating in Bekaa** ABAAD, ACF, AJEM Lebanon, AMEL, Arab Puppet Theatre, AVSI, Beyond, CARE, CLMC Lebanon, DRC, EPL, FAO, HabitatForHumanity, HI, Himaya, Humedica, HWA, IA, IMC, Intersos, IOCC Lebanon, IOM, IQRAA, IR Lebanon, IRC, IRW, ISAD, KAFA, Lebanese Red Cross, MAP-UK, MDM, MEDAIR, Medical Teams International, Mercy Corps, MoSA, MS Lebanon, MSL Lebanon, NRC, OXFAM, RI, SCI, SFCG, UNDP, UNFPA, UNHCR, UNIDO, UNRWA, URDA, Welfare Association, WHO, WVI **Disclaimer:** The boundaries and names shown on this map do not imply official endorsement or acceptance by the United Nations. **Data Source:** Lebanese Population - Central Administration of Statistics (CAS) year 2002 dataset, Poverty data: CAS, UNDP and MoSA Living Conditions and Household Budget Survey 2004-5, Syrian Refugee Population - UNHCR as of 30/06/2015, Humanitarian Intervention Data - Activity Info as of 30/06/2015, Palestinian Refugee Population- UNRWA, Lebanese Returnees data IOM as of 30/06/2015",
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"mention_text": "Fertility Rate, Total – Burundi",
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"data_use_impact": "Cited as a specific statistic to support claims about investment-to-GDP ratio.",
"context_sentence": "2020. “Fertility Rate, Total – Burundi. ” https://data.",
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"data_use_impact": "Provides context on country vulnerability and resilience.",
"context_sentence": "7 The ND-GAIN Country Index summarizes a country’s vulnerability to climate change and other global challenges in combination with its readiness to improve resilience. It aims to help governments, businesses, and communities better prioritize investments for a more efficient response to the immediate global challenges ahead.",
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"mention_text": "public credit registry",
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"data_use_impact": "Supports modernization efforts for credit information systems.",
"context_sentence": "**This subcomponent will support a** **modern credit reporting system** **to reduce borrower information asymmetry** **and enhance access to credit for MSMEs. ** It will finance technical assistance and the acquisition of equipment and software to support the BRB, banks, MFIs and other stakeholders for: (i) the modernization of the public credit registry ( _Centrale des risques_ ) under the BRB’s lead; (ii) the creation of a private credit bureau under the BRB’s lead; and (iii) the development of a Centralized Electronic Collateral Registry for movable securities and regulatory framework for secured transactions led by the BRB. **Subcomponent 2.",
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"context_sentence": "MSME support under this project incorporates criteria validated by the Independent Evaluation Group and other World Bank reviews, analytical work, and operational projects. The design draws on the lessons from the Local Development for Jobs Project for Burundi (PDLE, P155060) and recent analytical work on firm capabilities and the JET agenda:",
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"mention_text": "monitoring data collected regularly by the PIU",
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"context_sentence": "The project will conduct baseline, midline, and endline evaluations to track progress by triangulating quantitative data and qualitative information. This will be further complemented by the monitoring data collected regularly by the PIU. **C.",
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Percent change in the number of supported MSMEs owned by refugees that exported their products or services. | |Frequency
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Number of MSMEs and entrepreneurs that benefited from increased access to productive infrastructure from private
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Number of women-owned MSMEs and women entrepreneurs that benefited from increased access to productive
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Increase in the average annual revenue that is generated by supported MSMEs. | |Frequency
Annually|Frequency
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Increase in the average annual revenue that is generated by supported MSMEs. | |Frequency
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Increase in the average annual revenue that is generated by supported refugee-owned MSMEs. | |Frequency
Annually|Frequency
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Collection
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Total number of full-time jobs the project contributed to creating. |Description
Total number of full-time jobs the project contributed to creating.",
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Increase in the average annual revenue that is generated by supported refugee-owned MSMEs. | |Frequency
Annually|Frequency
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Total number of full-time jobs the project contributed to creating. |Description
Total number of full-time jobs the project contributed to creating.",
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{
"document_name": "014_BOSIB1dda1d49e0221807413cf06ea9ae3f",
"document_title": "Burundi - Jobs and Economic Transformation Project",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 43,
"mention_text": "Periodic survey",
"corrected_name": "Periodic survey",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Methodology for data collection in project evaluations.",
"context_sentence": "|Description
Total number of full-time jobs for women the project contributed to creating. | |Frequency
Annually|Frequency
Annually| |Data Source
Firm-level reporting by beneficiary MSMEs, verified by implementation partners|Data Source
Firm-level reporting by beneficiary MSMEs, verified by implementation partners| |Methodology for Data
Collection
Periodic survey|Methodology for Data
Collection
Periodic survey| |Responsibility for Data
Collection
Implementing partners, PIU|Responsibility for Data
Collection
Implementing partners, PIU| |**Strengthen and expand the financial sector to enhance access to finance for MSMEs**|**Strengthen and expand the financial sector to enhance access to finance for MSMEs**| |**Number of MSMEs registered in the movables collateral registry (guaranteed with movables assets) (Number) **|**Number of MSMEs registered in the movables collateral registry (guaranteed with movables assets) (Number) **| |Description
Number of unique MSMEs that are registered in registeries developed and implemented with the project support. |Description
Number of unique MSMEs that are registered in registeries developed and implemented with the project support.",
"pdf_url": "/pdfs/014_BOSIB1dda1d49e0221807413cf06ea9ae3f.pdf"
},
{
"document_name": "014_BOSIB1dda1d49e0221807413cf06ea9ae3f",
"document_title": "Burundi - Jobs and Economic Transformation Project",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 43,
"mention_text": "movables collateral registry",
"corrected_name": "movables collateral registry",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for tracking MSME registrations and loans.",
"context_sentence": "|Description
Number of unique MSMEs that are registered in registeries developed and implemented with the project support. | |Frequency
Quarterly|Frequency
Quarterly| |Data Source
Project records|Data Source
Project records| |Methodology for Data
Collection
Information from the registry is tabulated|Methodology for Data
Collection
Information from the registry is tabulated| |Responsibility for Data
Collection
PIU|Responsibility for Data
Collection
PIU| |**Number of loans by women or women-owned MSMEs registered in the movables collateral registry (guaranteed with movables assets) (Number) **|**Number of loans by women or women-owned MSMEs registered in the movables collateral registry (guaranteed with movables assets) (Number) **| |Description
Number of unique women-owned MSMEs that are registered in registeries developed and implemented with the project
support. |Description
Number of unique women-owned MSMEs that are registered in registeries developed and implemented with the project
support.",
"pdf_url": "/pdfs/014_BOSIB1dda1d49e0221807413cf06ea9ae3f.pdf"
},
{
"document_name": "014_BOSIB1dda1d49e0221807413cf06ea9ae3f",
"document_title": "Burundi - Jobs and Economic Transformation Project",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 43,
"mention_text": "Project records",
"corrected_name": "Project records",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for monitoring project outcomes.",
"context_sentence": "|Description
Number of unique women-owned MSMEs that are registered in registeries developed and implemented with the project
support. | |Frequency
Quarterly|Frequency
Quarterly| |Data Source
Project records|Data Source
Project records| |Methodology for Data
Collection
Information from the registry is tabulated|Methodology for Data
Collection
Information from the registry is tabulated| |Responsibility for Data|PIU|",
"pdf_url": "/pdfs/014_BOSIB1dda1d49e0221807413cf06ea9ae3f.pdf"
},
{
"document_name": "014_BOSIB1dda1d49e0221807413cf06ea9ae3f",
"document_title": "Burundi - Jobs and Economic Transformation Project",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 44,
"mention_text": "Financial intermediary",
"corrected_name": "Financial intermediary",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for monitoring loans disbursed to MSMEs.",
"context_sentence": "|Description
Amount of loans disbursed to refugee-owned MSMEs that are backed by the PPCG fund. | |Frequency
Semi-annually|Frequency
Semi-annually| |Data Source
Financial intermediary|Data Source
Financial intermediary| |Methodology for Data
Collection
Financial intermediary records|Methodology for Data
Collection
Financial intermediary records| |Responsibility for Data
Collection
FIGA, PIU|Responsibility for Data
Collection
FIGA, PIU| |**Supporting a business enabling environment and investment climate**|**Supporting a business enabling environment and investment climate**| |**Implemented reforms supporting private sector development (Number)CRI**|**Implemented reforms supporting private sector development (Number)CRI**| |Description
Number of implemented reforms that support private sector development. |Description
Number of implemented reforms that support private sector development.",
"pdf_url": "/pdfs/014_BOSIB1dda1d49e0221807413cf06ea9ae3f.pdf"
},
{
"document_name": "014_BOSIB1dda1d49e0221807413cf06ea9ae3f",
"document_title": "Burundi - Jobs and Economic Transformation Project",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 44,
"mention_text": "Financial intermediary records",
"corrected_name": "Financial intermediary records",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Describes the source of data collection methodology for the project.",
"context_sentence": "|Description
Amount of loans disbursed to refugee-owned MSMEs that are backed by the PPCG fund. | |Frequency
Semi-annually|Frequency
Semi-annually| |Data Source
Financial intermediary|Data Source
Financial intermediary| |Methodology for Data
Collection
Financial intermediary records|Methodology for Data
Collection
Financial intermediary records| |Responsibility for Data
Collection
FIGA, PIU|Responsibility for Data
Collection
FIGA, PIU| |**Supporting a business enabling environment and investment climate**|**Supporting a business enabling environment and investment climate**| |**Implemented reforms supporting private sector development (Number)CRI**|**Implemented reforms supporting private sector development (Number)CRI**| |Description
Number of implemented reforms that support private sector development. |Description
Number of implemented reforms that support private sector development.",
"pdf_url": "/pdfs/014_BOSIB1dda1d49e0221807413cf06ea9ae3f.pdf"
},
{
"document_name": "014_BOSIB1dda1d49e0221807413cf06ea9ae3f",
"document_title": "Burundi - Jobs and Economic Transformation Project",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 44,
"mention_text": "project records",
"corrected_name": "project records",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for monitoring institutional support activities.",
"context_sentence": "|Description
Number of governmental institutions that receive technical or financial assistance. | |Frequency
Semi-annually|Frequency
Semi-annually| |Data Source
Project records|Data Source
Project records| |Methodology for Data|PIU will collect the status of various institutional support activities from project records|",
"pdf_url": "/pdfs/014_BOSIB1dda1d49e0221807413cf06ea9ae3f.pdf"
},
{
"document_name": "015_08072015_northgovernorateprofile",
"document_title": "GENERAL OVERVIEW",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 2,
"mention_text": "MRR (Map of Risks and Resources)",
"corrected_name": "MRR (Map of Risks and Resources)",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Used as a coordination tool to link risks and needs with interventions.",
"context_sentence": "Access to healthcare facilities remains a challenge with only 8 public hospitals which are supported – with limited bed capacity- and 5 primary health care centers in the governorate, in addition to the high costs of secondary health care. The MRR (Map of Risks and Resources) is piloted in Minieh and Dedde municipalities as a coordination tool among all actors to link the risks and needs of the community with the actual and planned interventions. The outcome of the exercise was presented to mayor of Minieh and a dedicated coordination body was set-up to strengthen the coordination among partners and with the municipality.",
"pdf_url": "/pdfs/015_08072015_northgovernorateprofile.pdf"
},
{
"document_name": "018_10072015_akkargovernorateprofile",
"document_title": "GENERAL OVERVIEW",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 2,
"mention_text": "data from VASyR 2014",
"corrected_name": "data from VASyR 2014",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Supports the finding about Syrian refugee households in Akkar.",
"context_sentence": "A recent assessment revealed that both Lebanese and refugee communities identified employment as their top priority needs. This finding is consistent ~~with data from VASyR 2014 which noted that~~ Akkar was the region with the highest percentage of Syrian refugee ho ~~useholds (49%) that did not have any working m~~ embers. Interventions with municipalities through the Mapping of Risk and Resource programme have taken place in 14 municipalities.",
"pdf_url": "/pdfs/018_10072015_akkargovernorateprofile.pdf"
},
{
"document_name": "018_10072015_akkargovernorateprofile",
"document_title": "GENERAL OVERVIEW",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 2,
"mention_text": "Living Conditions and Household Budget Survey",
"corrected_name": "Living Conditions and Household Budget Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides context on poverty data for analysis.",
"context_sentence": "com **Akkar Governor** Mr Imad Labaki **Disclaimer:** The boundaries and names shown on this map do not imply official endorsement or acceptance by the United Nations. **Data Source:** Lebanese Population - Central Administration of Statistics (CAS) year 2002 dataset, Poverty data: CAS, UNDP and MoSA Living Conditions and Household Budget Survey 2004-5, Syrian Refugee Population - UNHCR as of 30/06/2015, Humanitarian Intervention Data - Activity Info as of 30/06/2015, Palestinian Refugee Population- UNRWA, Lebanese Returnees data IOM as of 30/06/2015",
"pdf_url": "/pdfs/018_10072015_akkargovernorateprofile.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "IDP survey",
"corrected_name": "IDP survey",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Informs the design of the proposed project by summarizing living conditions.",
"context_sentence": "10. **The IDP survey and lessons learned paper on livelihoods described above have informed** **the design of the proposed project by summarizing the current living conditions of IDPs as well** **as lessons from implementation of previous livelihood programs** . Though both studies are in the process of being finalized, they have provided valuable inputs to the design of this project.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "survey on job and skills",
"corrected_name": "survey on job and skills",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides benchmarking information for labor market analysis.",
"context_sentence": "To address their income generation needs, respondents identified various skills they would like to acquire with males wanting to have skills in the agriculture/fishery, automotive and land transport, and construction sectors while women preferred garments/sewing, health care and community development. While the data collected through the survey on job and skills provides useful benchmarking information, more localized labor market surveys will need to be undertaken to identify targeted opportunities in the communities where IDPs are living to support livelihoods that provide greater incomes over sustained periods. Page 9 of 34",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "Joint Recovery Needs Assessment",
"corrected_name": "Joint Recovery Needs Assessment",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Support for assessing recovery needs in specific regions.",
"context_sentence": "The Bank will mobilize its growing knowledge and experience in addressing the challenges of forced displacement to support the Government. In addition to the analytical work undertaken, activity under the SPF grant also includes support for the Joint Recovery Needs Assessment (JRNA) for Fizuli, Agdam and Jabrayil, and just-in-time advice to the Office of Special Representative (OSR) of the President to the Karabakh Economic Region on issues including management information systems, local governance, and smart city development. Preparation of the JRNA will benefit from the knowledge gained through the proposed Improved Livelihoods for Internally Displaced Persons (ILIDP) Project and the OSR will benefit from the Project as well given their role in facilitating the sustainable return of IDPs.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "survey of IDPs",
"corrected_name": "survey of IDPs",
"specificity": "descriptive",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Provides empirical context for policy dialogue and analysis.",
"context_sentence": "Since November 2021, the World Bank has been providing analytical and technical assistance to the Government through a State and Peacebuilding Fund-financed, Bank-executed grant called _Support for Peacebuilding and Recovery in Azerbaijan_ . This grant has financed analytical work that aims to inform a policy dialogue between the Bank and SCRI, including a survey of IDPs which focused on understanding the current livelihoods, service delivery, and social inclusion, and future aspirations; and a lessons learned paper on livelihood activities for IDPs. As IDPs are just beginning to return to liberated areas, it is a critical time for the Bank to engage with GoA on a policy dialogue as the steps that are taken now will have long-lasting effects.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "household survey",
"corrected_name": "household survey",
"specificity": "vague",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical evidence for unemployment statistics.",
"context_sentence": "This has resulted in the incorporation of mentors into the project design from the time of project launch through completion and an emphasis on community-based support to address the unique context of each IDP settlement. The household survey found that 22 percent of household members are unemployed and 30 percent of respondents are looking for work. There remains a reliance on state support with 90 percent of respondents receiving an IDP allowance.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "localized labor market surveys",
"corrected_name": "localized labor market surveys",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Proposed data collection for identifying targeted opportunities.",
"context_sentence": "To address their income generation needs, respondents identified various skills they would like to acquire with males wanting to have skills in the agriculture/fishery, automotive and land transport, and construction sectors while women preferred garments/sewing, health care and community development. While the data collected through the survey on job and skills provides useful benchmarking information, more localized labor market surveys will need to be undertaken to identify targeted opportunities in the communities where IDPs are living to support livelihoods that provide greater incomes over sustained periods. Page 9 of 34",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 13,
"mention_text": "IDP survey",
"corrected_name": "IDP survey",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical findings on IDP civic engagement.",
"context_sentence": "**The World Bank** SPF: Improved Livelihoods for Internally Displaced Persons in Azerbaijan (P178125) 11. **Findings from the IDP survey reveal limitations in IDP civic engagement and social** **cohesion. ** There is a very low level of IDP participation in social activities in their communities such as youth and women’s groups, cultural activities, agricultural or entrepreneurship activities.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "Baseline data on indicators",
"corrected_name": "Baseline data on indicators",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Facilitates measurement of project impact.",
"context_sentence": "**Achievement of the proposed Project Development Objective, will be measured** **through the following indicators:** - Percentage of participants self-employed or employed by firms - Increase in income of households with individuals participating in the project - Percentage of registered participants completing training and receiving certificates - Beneficiaries of job-focused interventions, of which female (core World Bank indicator) - Percentage of beneficiaries taking a more active role in their communities disaggregated by gender and persons with disability 18. **Baseline data on indicators will be collected to facilitate the measurement of project** **impact. ** Upon registration of participants for project support, data will be gathered to establish baseline conditions for each beneficiary and their household.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 16,
"mention_text": "needs survey",
"corrected_name": "needs survey",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Used to identify high-demand skills for training preferences.",
"context_sentence": "Selection of participants will also aim to include a balance of men and women, with at least 50% of beneficiaries being women. Applicants who are seeking training in skills that have been determined in the needs survey as being in high demand will also be preferred over those proposing training in areas where there is more limited labor market demand. Skills areas may include, among others: business/trade, agri-business, vocational activities (i.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 20,
"mention_text": "baseline data",
"corrected_name": "baseline data",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used to compare pre- and post-intervention conditions.",
"context_sentence": "** A consultant will be hired as an M&E Specialist to undertake and coordinate this work and to report on results indicators. The M&E Specialist will collect baseline data, which will enable the Committee to compare the before and after situation for project participants. Data after training program completion will be collected by the M&E Specialist and if additional data collection support is needed, SCRI will engage the staff of its Monitoring Department and the M&E Specialist will provide staff with the needed training and quality assurance supervision.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 23,
"mention_text": "baseline and endline data",
"corrected_name": "baseline and endline data",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Used for evaluation of program activities.",
"context_sentence": "Most of the technical design of the project has been implemented under the Youth Support Program (YSP) which was a subcomponent of the LSLP. These activities were implemented between 2018 and 2020 and evaluated using baseline and endline data collected from 827 persons out of the total number of 833 individuals that had participated in the YSP. This survey found that 86.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 27,
"mention_text": "Post-Training Completion Survey",
"corrected_name": "Post-Training Completion Survey",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Provides context on timing and methodology of data collection.",
"context_sentence": "00 Once, starting three months after trainees complete their courses. Post-Training Completion Survey conducted at least three months after training completion. **Responsibility for** **Data Collection** M&E Specialist with support from supplementary data collectors, as needed.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 29,
"mention_text": "Baseline Survey and Post-Training Completion Survey",
"corrected_name": "Baseline Survey and Post-Training Completion Survey",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Surveys used for collecting data on project participants.",
"context_sentence": "00 Twice, once before civic engagement training and again at least three months after civic engagement training completion. For participants in Component 1 and 2 of the project, the Baseline Survey and Post-Training Completion Survey will be used for data collection. For individuals trained only as part of Component 3, a separate pre-training survey will be conducted as well as a follow-up survey conducted at least three months after civic engagement training.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "020_P1781250bdd2b50b0b9720d5c17632331c",
"document_title": "Azerbaijan - State and Peacebuilding Fund (SPF) : Improved Livelihoods for Internally Displaced Persons in Azerbaijan Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 30,
"mention_text": "Baseline Survey and Post-Training Completion Survey",
"corrected_name": "Baseline Survey and Post-Training Completion Survey",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Data collection instruments for project evaluation.",
"context_sentence": "00 Twice, once before civic engagement training and again at least three months after civic engagement training completion. For participants in Component 1 and 2 of the project, the Baseline Survey and Post-Training Completion Survey will be used for data collection. For individuals trained only as part of Component 3, a separate pre-training survey will be conducted as well as a follow-up survey conducted at least three months after civic engagement training.",
"pdf_url": "/pdfs/020_P1781250bdd2b50b0b9720d5c17632331c.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 2,
"mention_text": "CSO population statistics",
"corrected_name": "CSO population statistics",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides population context for returnee analysis.",
"context_sentence": "**FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN** **Figure 1** **Assisted returns to Afghanistan** n [ Nr. returnees ] **—** [ Cumulative distribution] 2,000 120% 1,800 **Figure 2** **Share of returns up to 2007, by district** **Takhar** **K unduz** **B aghlan** **Parwan** **K abul** **K apis a** **Laghman** **B adakhs han** 1,600 1,400 1,200 1,000 800 600 400 200 100% 80% 60% 40% 20% 0% **Herat** **Farah** **Nimroz** **J awzjan** **S ar-e-P ul** **Daykundi** **Urozgan** **K andahar** **B alkh** **S amangan** **B amyan** **Wardak** **Ghazni** **Logar** **Paktya** **K hos t** **Faryab** **Ghor** **Panjs her** **Nooris tan** **K unarha** **B adghis** **Helmand** **Nangarhar** **QUANTILES OF** **RETURNEES/POP** n [Missing] n [Low] n [Medium Low] n [Medium] n [Medium High] n [High] **Paktika** **Zabul** 2002 2004 2006 2008 2010 2012 2014 Source: UNHCR Assisted Returns Source: UNHCR; CSO population statistics **Returns were concentrated in time and space,** thus posing a disproportionately large challenge to the absorption capacity of some districts and provinces (Figure 1 and 2) [2] . While the local impact of a massive influx of refugees, and the capacity to reintegrate, depends on a range of factors [3], one thing is clear: **local absorption capacity certainly has a limit.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 2,
"mention_text": "based on ALCS 2013",
"corrected_name": "ALCS 2013",
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"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source data for authors' calculations and analysis.",
"context_sentence": "** Tellingly, the incidence of internal displacement among the returnees who came back in 2013 is twice as high compared to those who returned in 2002, despite the fact that returnees in 2002 were almost 50 times more than in 2013 (Figure 4). **Figure 3** **\u0007Incidence of returns and severity of** **conflict at the district level, 2007** **Figure 4** **\u0007Share of secondary displacement,** **by year of return** 30 25 20 15 10 5 0 Low Medium 2003 2005 2007 2009 2011 2013 Medium Medium High High 25 20 15 10 5 0 Low YEAR OF RETURN CONFLICT SEVERITY Source: Authors’ calculation based on UNHCR and SIOCC-UNDSS data 2 Source: Authors’ calculation based on ALCS 2013–14",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 2,
"mention_text": "UNHCR Assisted Returns",
"corrected_name": "UNHCR Assisted Returns",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical evidence for spatial and temporal concentration of returns.",
"context_sentence": "**FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN** **Figure 1** **Assisted returns to Afghanistan** n [ Nr. returnees ] **—** [ Cumulative distribution] 2,000 120% 1,800 **Figure 2** **Share of returns up to 2007, by district** **Takhar** **K unduz** **B aghlan** **Parwan** **K abul** **K apis a** **Laghman** **B adakhs han** 1,600 1,400 1,200 1,000 800 600 400 200 100% 80% 60% 40% 20% 0% **Herat** **Farah** **Nimroz** **J awzjan** **S ar-e-P ul** **Daykundi** **Urozgan** **K andahar** **B alkh** **S amangan** **B amyan** **Wardak** **Ghazni** **Logar** **Paktya** **K hos t** **Faryab** **Ghor** **Panjs her** **Nooris tan** **K unarha** **B adghis** **Helmand** **Nangarhar** **QUANTILES OF** **RETURNEES/POP** n [Missing] n [Low] n [Medium Low] n [Medium] n [Medium High] n [High] **Paktika** **Zabul** 2002 2004 2006 2008 2010 2012 2014 Source: UNHCR Assisted Returns Source: UNHCR; CSO population statistics **Returns were concentrated in time and space,** thus posing a disproportionately large challenge to the absorption capacity of some districts and provinces (Figure 1 and 2) [2] . While the local impact of a massive influx of refugees, and the capacity to reintegrate, depends on a range of factors [3], one thing is clear: **local absorption capacity certainly has a limit.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "Global Peace Index",
"corrected_name": "Global Peace Index",
"specificity": "named",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Provides statistical evidence for peace ranking.",
"context_sentence": "If peace and stability are pre-requisite for development to take place, Afghanistan is (still) missing both. According to the Global Peace Index, in 2016 the country ranks the fourth less peaceful after Syria, South Sudan and Iraq. Moreover, decades of conflict have had a destabilizing effect on the social cohesion of the country, exacerbating ethnic divisions and weakening government institutions and rule of law.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 7,
"mention_text": "ALCS",
"corrected_name": "ALCS 2013–14",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source of empirical data for literacy rate calculations.",
"context_sentence": "As a result, Afghans who were born abroad had better access to education than same-aged Afghans who did not move, particularly for older returning Afghans. **Figure 10** **Afghans’ literacy rate, by age and country of birth** ~~n~~ [ Iran ] ~~n~~ [ Pakistan ] ~~n~~ [Afghanistan] 90 80 70 60 50 40 30 20 10 0 [0–4] [5–19] [10–14] [15–19] [20–24] [25–29] [30–34] [35–39] [40–44] [45–49] [50–54] [55–59] [60–64] [65+] Sources: Authors’ calculation based on ALCS 2013–14 **On the other hand, internal displacement has a negative impact on children’s** **human capital accumulation. ** In particular, regression analysis shows that children aged six to 15 in IDP households are 8.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 9,
"mention_text": "based on ALCS 2013",
"corrected_name": "ALCS 2013–14",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source of data for authors' calculations on labor income.",
"context_sentence": "**Table 1** **\u0007Monthly labor income in Afghanistan** **and remittances from abroad** **MEAN** **MEDIAN** **Agriculture** 5930 4800 **Manufacturing** 7496 7000 **Construction** 6516 5600 **Services** 9927 8000 **Public sector** 14368 12000 **Health and Education** 9402 7000 **Remittances** 8581 5833 **Total (excl. remittances)** **8529** **7000** Notes: labor income has been computed for male workers aged [14,35] Source: Authors’ calculation based on ALCS 2013–14 **Figure 13** **\u0007Distribution of remittances,** **by sending country** Afghanistan Pakistan Iran UAE Other Gulf Europe Australia Other 0 20,000 40,000 60,000 80,000 MONTHLY REMITTANCES, AFS Note: The figure shows a box and whiskers plot. The box ranges from the 25th percentile to the 75th percentile.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 11,
"mention_text": "Demographic and Health Survey",
"corrected_name": "Demographic and Health Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a background data source.",
"context_sentence": "5. Demographic and Health Survey (2014). 6.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 11,
"mention_text": "NRVA 2007–08 data",
"corrected_name": "NRVA 2007–08 data",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence of household impacts from returnees.",
"context_sentence": "4. According to NRVA 2007–08 data, approximately 85 percent of Afghan households reported to have been negatively affected by a “large influx of returnees” during the 12 months preceding the survey. 5.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 11,
"mention_text": "UNHCR assisted returns data",
"corrected_name": "UNHCR assisted returns data",
"specificity": "descriptive",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Provides statistical evidence for the timing of returns.",
"context_sentence": "2. Based on UNHCR assisted returns data, 78 percent of returns occurred between 2002 and 2006. Districts with “high” intensity of returns in 2007 had an average share of returnees over the population of 70 percent.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 11,
"mention_text": "ALCS 2013–14 data",
"corrected_name": "ALCS 2013–14 data",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical input for probability estimation model.",
"context_sentence": "11. Probability of having a household member abroad was estimated using a Linear Probability model and ALCS 2013–14 data. Controls include a dummy indicating whether the household feels insecure in the district of residence; the number of security incidents per thousand inhabitants in the district of residence; composition and employment outcomes at the household level; dummy variables identifying returnee households, IDP households and households migrating for economic reasons; a dummy indicating urban residence and quintiles of a wealth index to proxy for household welfare.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 12,
"mention_text": "Afghanistan Living Conditions Survey",
"corrected_name": "Afghanistan Living Conditions Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Provides historical survey data for contextual understanding of migration reasons.",
"context_sentence": "18. Some useful information can be obtained from the three available and comparable rounds of the Afghanistan Living Conditions Survey (ALCS) conducted in 2013–14, 2011–12 and 2007–08 which collect information about household members who have left the household in the 12 months preceding the survey and about their reason for migrating. 19.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "021_108733-revised-public-wb-unhcr-policy-brief-final",
"document_title": "FRAGILITY AND POPULATION MOVEMENT IN AFGHANISTAN",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 12,
"mention_text": "ALCS 2013–14 data",
"corrected_name": "ALCS 2013–14 data",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical input for estimating school attendance probabilities.",
"context_sentence": "16. Probability of being in school was estimated using a Probit model and ALCS 2013–14 data. Controls include sex and age of the child; composition and employment outcomes at the household level; dummy variables identifying returnee households and IDP households; whether the household has migrants and receives remittances; quintiles of a wealth index; urban residence and quintiles of an index indicating the severity of conflict in the district of residence.",
"pdf_url": "/pdfs/021_108733-revised-public-wb-unhcr-policy-brief-final.pdf"
},
{
"document_name": "023_Ethiopia-Second-Phase-Development-Response-to-Displacement-Impacts-Project-in-the-Horn-of-Africa-Project",
"document_title": "Ethiopia - Second Phase Development Response to Displacement Impacts Project in the Horn of Africa Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 14,
"mention_text": "Ethiopia’s 2007 Census",
"corrected_name": "Ethiopia’s 2007 Census",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a demographic context for analysis.",
"context_sentence": "**Climate change is expected to cause severe damage to infrastructure, increase the risk of water scarcity and** **increase crop land exposure to drought** . This will increase demand for water, raising the potential for conflict and 3 According to Ethiopia’s 2007 Census. 4 World Bank Poverty and Equity Brief for Ethiopia, October 2021.",
"pdf_url": "/pdfs/023_Ethiopia-Second-Phase-Development-Response-to-Displacement-Impacts-Project-in-the-Horn-of-Africa-Project.pdf"
},
{
"document_name": "024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project",
"document_title": "Uganda - Generating Growth Opportunities and Productivity for Women Enterprises Uganda Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "Uganda National Household Survey",
"corrected_name": "Uganda National Household Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support claims about poverty rates over time.",
"context_sentence": "**The COVID-19 shock has been accompanied by increases in poverty and unemployment** . According to the latest Uganda National Household Survey (UNHS), although overall poverty in 2019/20 (20. 3 percent) was slightly lower than in 2016/17 (21.",
"pdf_url": "/pdfs/024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project.pdf"
},
{
"document_name": "024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project",
"document_title": "Uganda - Generating Growth Opportunities and Productivity for Women Enterprises Uganda Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "National Labour Force Survey",
"corrected_name": "National Labour Force Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a data source for context.",
"context_sentence": "3 GoU 2018. National Labour Force Survey. 4 World Bank.",
"pdf_url": "/pdfs/024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project.pdf"
},
{
"document_name": "024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project",
"document_title": "Uganda - Generating Growth Opportunities and Productivity for Women Enterprises Uganda Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "UNHS",
"corrected_name": "UNHS",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support claims about poverty rates over time.",
"context_sentence": "**The COVID-19 shock has been accompanied by increases in poverty and unemployment** . According to the latest Uganda National Household Survey (UNHS), although overall poverty in 2019/20 (20. 3 percent) was slightly lower than in 2016/17 (21.",
"pdf_url": "/pdfs/024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project.pdf"
},
{
"document_name": "024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project",
"document_title": "Uganda - Generating Growth Opportunities and Productivity for Women Enterprises Uganda Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 13,
"mention_text": "Uganda Refugee and Host Communities 2018 Household\nSurvey",
"corrected_name": "Uganda Refugee and Host Communities 2018 Household Survey",
"specificity": "named",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Cited as a source of data for policy response analysis.",
"context_sentence": "7 World Bank. 2019 Informing the Refugee Policy Response in Uganda: Results from the Uganda Refugee and Host Communities 2018 Household Survey (English). Washington, DC: World Bank.",
"pdf_url": "/pdfs/024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project.pdf"
},
{
"document_name": "024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project",
"document_title": "Uganda - Generating Growth Opportunities and Productivity for Women Enterprises Uganda Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 13,
"mention_text": "2020 Mastercard\nGlobal Index of Women Entrepreneurs",
"corrected_name": "2020 Mastercard Global Index of Women Entrepreneurs",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support the statistic on women's business ownership.",
"context_sentence": "**Uganda has the highest proportion of women’s business ownership in the Africa region. ** The 2020 Mastercard Global Index of Women Entrepreneurs estimated that women own nearly 40 percent of all businesses. [10] Earlier surveys have presented more varied estimates, suggesting female-owned enterprises make up between 23–44 percent of all businesses.",
"pdf_url": "/pdfs/024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project.pdf"
},
{
"document_name": "024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project",
"document_title": "Uganda - Generating Growth Opportunities and Productivity for Women Enterprises Uganda Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 13,
"mention_text": "UBOS 2020 census data",
"corrected_name": "UBOS 2020 census data",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited for demographic statistics regarding women aged 20-59.",
"context_sentence": "Uganda Comprehensive Refugee Response Poral. 6 Host community numbers are UNHCR and OPM figures based on projected UBOS 2020 census data for women aged 20-59. 7 World Bank.",
"pdf_url": "/pdfs/024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project.pdf"
},
{
"document_name": "024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project",
"document_title": "Uganda - Generating Growth Opportunities and Productivity for Women Enterprises Uganda Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "Uganda Violence Against Women and Girls Survey 2020",
"corrected_name": "Uganda Violence Against Women and Girls Survey 2020",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a relevant dataset for context or literature review.",
"context_sentence": "20 Uganda Bureau of Statistics (2021). Uganda Violence Against Women and Girls Survey 2020. Uganda Bureau of Statics.",
"pdf_url": "/pdfs/024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project.pdf"
},
{
"document_name": "024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project",
"document_title": "Uganda - Generating Growth Opportunities and Productivity for Women Enterprises Uganda Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "2020 national survey of\nviolence against women",
"corrected_name": "national survey of violence against women",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited statistics on violence prevalence among Ugandan women.",
"context_sentence": "Risk of violence also constitutes a significant barrier to women’s entrepreneurship in Uganda. A 2020 national survey of violence against women reports that almost all (95 percent) of Ugandan women between 15–49 years old have experienced physical or sexual violence from either an intimate partner or a non-partner during their lifetime. [20] This is more than three times the global average (27 percent lifetime,) and the averages for Sub-Saharan Africa (33 percent lifetime).",
"pdf_url": "/pdfs/024_Uganda-Generating-Growth-Opportunities-and-Productivity-for-Women-Enterprises-Uganda-Project.pdf"
},
{
"document_name": "025_1403-zaatarisafetysecurityreport2013-final",
"document_title": "!!!!!!!",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 12,
"mention_text": "ACTED \n Livelihoods \n Survey",
"corrected_name": "ACTED Livelihoods Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence on income-generating activities within the camp.",
"context_sentence": "’ Separately, though related, an ACTED Livelihoods Survey from August 2013, stated that ‘selling goods from donations inside the camp’ comprised 27% of income generating activities. If the reported control over some cash for work (CFW) sites, ‘protection’ for retail properties, rent for retail properties and various other illicit activities are included, then the real economy within the camp would be signiWicantly higher. With a Winancial incentive, competition between groups (clan or village) becomes solidiWied, which has led to numerous media reports of ‘maWia-‐like’ activities in the camp.",
"pdf_url": "/pdfs/025_1403-zaatarisafetysecurityreport2013-final.pdf"
},
{
"document_name": "027_14803f869ebccad5c125735c00572018-unhcr-aug2007",
"document_title": "How to Cope with a Refugee Shock ? Evidence from Uganda",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "comprehensive quantitative survey",
"corrected_name": "comprehensive quantitative survey",
"specificity": "vague",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides context for refugee estimates.",
"context_sentence": "[2] The paper also draws on consultations and interviews with people professionally knowledgeable about the politico-legal and socio-economic situation of Somalis in Kenya, including UNHCR. [3] While a comprehensive quantitative survey 1 This estimate excludes Palestinian refugees under UNRWA’s mandate, and is based on national groups of refugees of 25,000 living for five years or more in the same country of asylum. 2 Thanks go to the research participants for their time; Abdullahi Mohamed Qambi for his excellent research assistance; and Nafisa Nur Osman for her warm hospitality.",
"pdf_url": "/pdfs/027_14803f869ebccad5c125735c00572018-unhcr-aug2007.pdf"
},
{
"document_name": "027_Jordan-Emergency-Food-Security-Project",
"document_title": "Jordan - Emergency Food Security Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 14,
"mention_text": "ND-GAIN index for climate vulnerability",
"corrected_name": "ND-GAIN index for climate vulnerability",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support claims about climate vulnerability rankings.",
"context_sentence": "**The World Bank** Emergency Food Security Project (P178936) of water available per capita per year – well below the absolute water scarcity threshold of 500 cubic meters per capita per year), but those resources are increasingly vulnerable to climate-related hazards (Jordan ranks 72 out of 182 countries in the ND-GAIN index for climate vulnerability in 2019), including droughts [12], extreme temperature, storms, landslides and flash floods [13] . These changes are likely to have negative effects on crop production as they will decrease the availability of water for irrigation, diminishing the suitability of key crops and increase the vulnerability of smallholder farmers who are already extremely vulnerable to the impacts of climate change due to their low-incomes, poor access to technical capacities and lack of technology to increase productivity under extreme weather conditions [14] .",
"pdf_url": "/pdfs/027_Jordan-Emergency-Food-Security-Project.pdf"
},
{
"document_name": "027_Jordan-Emergency-Food-Security-Project",
"document_title": "Jordan - Emergency Food Security Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "mobile Vulnerability Assessment and Mapping",
"corrected_name": "mobile Vulnerability Assessment and Mapping",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited to support findings on food insecurity levels.",
"context_sentence": "** **Existing food insecurity levels are particularly high among Jordan’s refugee population. ** According to the most recent mobile Vulnerability Assessment and Mapping (mVAM) [16] completed by the World Food Program (WFP) in Jordan, 7 percent of Jordanian households (representing 535,559 individuals) were found to be food insecure as of February 2021 and another 51 percent of households (representing 3,843,701 individuals) were vulnerable to food insecurity, meaning that they were very likely to experience an acute decline in food access or consumption levels below minimum survival needs. WFP’s mVAM also found that food insecurity levels among Jordan’s refugee community (which are not covered by Jordan’s social security net system) are significantly higher than those registered at the level of Jordanian households.",
"pdf_url": "/pdfs/027_Jordan-Emergency-Food-Security-Project.pdf"
},
{
"document_name": "030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web",
"document_title": "CONNECTIVITY FOR REFUGEES",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 8,
"mention_text": "UNHCR Population Statistics",
"corrected_name": "UNHCR Population Statistics",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited as a source of population data for context.",
"context_sentence": "_**Structure of Report**_ This report proceeds as follows: The next chapter discusses the benefits of connectivity, financial inclusion, and government-recognized ID credentials for populations of concern and for areas where they live. The report then reviews the two regulatory drivers that 4 UNHCR Population Statistics: http://popstats. unhcr.",
"pdf_url": "/pdfs/030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web.pdf"
},
{
"document_name": "030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web",
"document_title": "CONNECTIVITY FOR REFUGEES",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 8,
"mention_text": "surveys of UNHCR country operations",
"corrected_name": "surveys of UNHCR country operations",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Part of the research methodology for understanding operations.",
"context_sentence": "Where necessary, more nuanced terms are used 6 See, for example, World Bank, _Forcibly Displaced. _ 7 A brief note on methods: The research involved extensive desk research and literature reviews, interviews with experts in the humanitarian, development, and ID/registration policy domains, surveys of UNHCR country operations, and ongoing engagement with trade bodies such as GSMA as well as regulators, including at the International Telecommunications Union Global Symposium for Regulators. 8 Afghanistan, Bangladesh, Brazil, Burundi, Cameroon, Central African Republic, Chad, Democratic Republic of Congo, Ethiopia, Jordan, Kenya, Lebanon, Mauritania, Niger, Nigeria, Rwanda, Tanzania, Turkey, Uganda, and Zambia.",
"pdf_url": "/pdfs/030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web.pdf"
},
{
"document_name": "030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web",
"document_title": "CONNECTIVITY FOR REFUGEES",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 11,
"mention_text": "UNHCR PRIMES",
"corrected_name": "UNHCR PRIMES",
"specificity": "named",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Mentioned as a data system for context or reference.",
"context_sentence": "[34] Many States, particularly in Africa, are increasingly taking more responsibility for refugee registration and are considering including refugees in foundational ID platforms, where 31 See, for example, 1951 Convention on the Status of Refugees, Articles 25 & 27 32 UN Guiding Principles on Internal Displacement 1998, Principle 20 33 UNHCR Executive Committee Conclusion on Registration of Refugees and Asylum Seekers, No. 91 (LII) - 2001 34 See UNHCR PRIMES: https://www. unhcr.",
"pdf_url": "/pdfs/030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web.pdf"
},
{
"document_name": "030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web",
"document_title": "CONNECTIVITY FOR REFUGEES",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 11,
"mention_text": "Population Registration and Identity Management Ecosystem",
"corrected_name": "Population Registration and Identity Management Ecosystem",
"specificity": "named",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Supports states in population registration and identity management.",
"context_sentence": "The organization’s protection mandate provides a basis for it to undertake refugee registration and documentation where States are unable or unwilling to do so. In addition, UNHCR also supports States through the joint use of the digital tools contained in UNHCR’s Population Registration and Identity Management Ecosystem (“PRIMES”), including its biometrics systems. [34] Many States, particularly in Africa, are increasingly taking more responsibility for refugee registration and are considering including refugees in foundational ID platforms, where 31 See, for example, 1951 Convention on the Status of Refugees, Articles 25 & 27 32 UN Guiding Principles on Internal Displacement 1998, Principle 20 33 UNHCR Executive Committee Conclusion on Registration of Refugees and Asylum Seekers, No.",
"pdf_url": "/pdfs/030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web.pdf"
},
{
"document_name": "030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web",
"document_title": "CONNECTIVITY FOR REFUGEES",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 11,
"mention_text": "Post-conflict population registries",
"corrected_name": "Post-conflict population registries",
"specificity": "vague",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited as a potential barrier to reclaiming rights and services.",
"context_sentence": "In the host country: - Limited protection of individual rights, such as freedom of movement, and the risk of abuse or exploitation such as arbitrary arrest and detention - Limited access to services and benefits, including mobile connectivity, finance, and social protection schemes - Inability to document life events (births, marriages, etc. ) - Inability to prove legal residence on the territory, creating the risk of _refoulement_ and preventing solutions Returning home: - Inability to repatriate, because of difficulty proving nationality, especially for children of refugees born in the host country - Difficulty in maintaining a recognizsed family unit - Difficulty obtaining ID credentials in the home country - Difficulty claiming access to services, including social protection - Difficulty reclaiming property and other rights - Post-conflict population registries may intentionally or unintentionally exclude groups The international protection regime requires that refugees who lack valid travel documents are issued with credentials to prove their identity by the authorities of the host State if they do not have a valid travel document. The authorities should also provide replacement documents and certificates that would usually be provided by the refugees’ country of origin, but can also be provided by an internationally recognized and mandated authority, such as UNHCR.",
"pdf_url": "/pdfs/030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web.pdf"
},
{
"document_name": "030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web",
"document_title": "CONNECTIVITY FOR REFUGEES",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 16,
"mention_text": "International Mobile Equipment Identity (IMEI) database",
"corrected_name": "International Mobile Equipment Identity (IMEI) database",
"specificity": "named",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Database used to track and reduce illegal device imports.",
"context_sentence": "[61] A 2016 legal challenge against biometric SIM registration, based on privacy grounds and concerns about access by foreign entities, was unsuccessful. [62] In January 2019, BTRC launched an International Mobile Equipment Identity (IMEI) database to reduce the use of illegally imported devices. [63] Legal access to SIM cards by refugees in Bangladesh is extremely challenging, namely due to a lack of access to required forms of ID.",
"pdf_url": "/pdfs/030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web.pdf"
},
{
"document_name": "030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web",
"document_title": "CONNECTIVITY FOR REFUGEES",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 18,
"mention_text": "Findex database",
"corrected_name": "Global Findex database",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence on mobile money penetration in Rwanda.",
"context_sentence": "Nigeria's mobile money framework based on a three-tier KYC/CDD regulation, the lowest level of which (Level 1) is particularly inclusive and, in theory, can accommodate the displaced (see Table 3). **Case study: Rwanda** According to the World Bank's Global Findex database, Rwanda's mobile money penetration (in terms of account ownership for 15+ years old) is 31. 11%.",
"pdf_url": "/pdfs/030_1556029681unhcr_gsma_displaced_disconnected_-_connectivity_for_refugees_-_web.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "Demographic Health Survey",
"corrected_name": "Demographic Health Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited to support claims about household decision-making patterns.",
"context_sentence": "org/sites/default/files/media/documents/resource-spt-cap-mozambique-gbv-integration. pdf) Demographic Health Survey [(2015), which shows that men generally tend to take the](https://dhsprogram. com/pubs/pdf/AIS12/AIS12.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "DHS data from Mozambique",
"corrected_name": "DHS data from Mozambique",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited to support the correlation between education access and health facility use.",
"context_sentence": "3 8. 8 UNCESCO 2015 The DHS data from Mozambique further shows that improving access to education for girls, particularly following the completion of primary school, can be an important determinant of the use of health facilities (or at least correlates with facility use). Higher levels of education for mothers is associated with declining under-five mortality rates, i.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 4,
"mention_text": "Demographic Health Survey",
"corrected_name": "Demographic Health Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence on water access.",
"context_sentence": ") as a result of the cyclone and floods increase the vulnerabilities of women and girls. **Water, Sanitation, and Hygiene:** According to the Demographic Health Survey [(2015),](https://dhsprogram. com/pubs/pdf/AIS12/AIS12.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 4,
"mention_text": "post-disaster multi-sectoral assessment",
"corrected_name": "post-disaster multi-sectoral assessment",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides evidence of decreased potable water availability post-disaster.",
"context_sentence": "int/reports/moçambique-—-ciclone-tropical-idai-inquérito-dos-locais-de-deslocamento-beira-dondo-e) women and girls are responsible for fetching water, they are exposed to more GBV risks when looking for alternative water sources. The post-disaster multi-sectoral assessment (MRA) in six affected districts further noted that the availability of potable/drinking water has decreased significantly, particularly in Nhamatanda (MRA, 4/2019). _Sanitation and hygiene_ Wash conditions are stretched and overcrowding is observed in sites in Beira.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 4,
"mention_text": "FHI360",
"corrected_name": "FHI360, preliminary data on health facility assessments",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited to support the claim about PEP kit availability in health facilities.",
"context_sentence": "org/) The administration of PEP within 72 hours of a reported rape case is vital to save lives of survivors, especially considering the high prevalence rate of HIV in the population. Preliminary health facility assessments have showed that around 55% of assessed health facilities in Sofala province do not have PEP kits available (FHI360, preliminary data on health facility assessments, 4/2019). In the majority of displacement sites people reportedly have no problem accessing health facilities, and in more than 70% it is reported that health facilities have female staff.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 5,
"mention_text": "Demographic Health Survey",
"corrected_name": "Demographic Health Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence on electricity access.",
"context_sentence": "They will they will need access to functioning health facilities and care (UNFPA, 4/2019). **Shelter:** According to the Demographic Health Survey some 28% of people in Sofala did not have electricity. A further 28.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 5,
"mention_text": "CCCM site plans",
"corrected_name": "CCCM site plans",
"specificity": "named",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Used to calculate space availability per person in accommodation centers.",
"context_sentence": "int/reports/moçambique-—-ciclone-tropical-idai-inquérito-dos-locais-de-deslocamento-beira-dondo-e) are temporary transit sites including schools and public buildings. Site plans of the five accommodation centers suggest that currently up to 5–6 families are sharing one tent, [and averagely 12m2 space is available per person (calculated based on CCCM site plans](https://www. humanitarianresponse.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 6,
"mention_text": "post disaster multi-sectoral assessment",
"corrected_name": "post disaster multi-sectoral assessment",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides evidence of negative coping strategies and GBV risks post-disaster.",
"context_sentence": "The total number is different than the UNFPA estimated figures in above paragraph, because the methodology of calculation and sources are different (INGC figures are not used in the latter calculation). Gorongoza 28,460 550 6,338 Marínguè 26,900 6,085 Caia 12,040 2,751 Cheringoma 7,060 490 1,544 Chibabava 3,975 4,134 1,008 Machanga 2,335 552 Chemba 330 74 **TOTAL** **1,190,594** **120,995** **288,480** **Gender based violence:** The post disaster multi-sectoral assessment (MRA) in Dondo and Buzi districts reported that families are resorting to negative coping strategies to meet their most basic needs and risks of GBV was reported (MRA, 4/2019). There were also cases of sexual exploitation and abuse by people in positions of power in the community and village chiefs when assigning relief items.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 6,
"mention_text": "DTM",
"corrected_name": "DTM",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides evidence of displacement numbers in Beira.",
"context_sentence": "#### GBV PROTECTION NEEDS Affected population, displaced population and estimated affected women at reproductive age who could be at risk of GBV in all affected provinces Affected districts in Sofala Province – affected, displace population and estimated women at reproductive age **Affected District** Affected Population (INGC Ponto de Situacao, 10 April) Total Displaced Population (INGC Novo Centro Update, 4 April) Estimated affected women at Affected reproductive age (15 – 49) **Affected** Population Total Displaced (*Calculated based on two **Province** (INGC Ponto de Population sources: Affected Situacao, 10 (INGC Novo Centro population[INGC] * % of April) Update, 4 April) women at reproductive age [2017 census]) Zambezia 6,035 5,235 1,417 **Affected** **Province** Affected Population (INGC Ponto de Situacao, 10 April) Total Displaced Population (INGC Novo Centro Update, 4 April) Tete 54,721 2,655 12,021 Manica 262,890 13,115 60,040 Sofala 1,190,594 120,995 288,480 Inhambane 422 - 103 **Grant Total** **1,514,662** **142,000** **362,061** *Note on different data sources: 1. According to the latest DTM (round 2, 10 April) assessments in 41 displacement sites, there are a total 13,616 people who are displaced in 24 sites in Beira. The table above uses the INGC source for a more complete presentation of the displaced population across whole Safala province.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 6,
"mention_text": "2017 census",
"corrected_name": "2017 census",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Used as a demographic baseline for estimating affected women at reproductive age.",
"context_sentence": "Being out of school and engagement in other livelihood activities increase the exposure to GBV risks. #### GBV PROTECTION NEEDS Affected population, displaced population and estimated affected women at reproductive age who could be at risk of GBV in all affected provinces Affected districts in Sofala Province – affected, displace population and estimated women at reproductive age **Affected District** Affected Population (INGC Ponto de Situacao, 10 April) Total Displaced Population (INGC Novo Centro Update, 4 April) Estimated affected women at Affected reproductive age (15 – 49) **Affected** Population Total Displaced (*Calculated based on two **Province** (INGC Ponto de Population sources: Affected Situacao, 10 (INGC Novo Centro population[INGC] * % of April) Update, 4 April) women at reproductive age [2017 census]) Zambezia 6,035 5,235 1,417 **Affected** **Province** Affected Population (INGC Ponto de Situacao, 10 April) Total Displaced Population (INGC Novo Centro Update, 4 April) Tete 54,721 2,655 12,021 Manica 262,890 13,115 60,040 Sofala 1,190,594 120,995 288,480 Inhambane 422 - 103 **Grant Total** **1,514,662** **142,000** **362,061** *Note on different data sources: 1. According to the latest DTM (round 2, 10 April) assessments in 41 displacement sites, there are a total 13,616 people who are displaced in 24 sites in Beira.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 6,
"mention_text": "INGC displacement data",
"corrected_name": "INGC displacement data",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides context on displacement data for analysis.",
"context_sentence": "The table above uses the INGC source for a more complete presentation of the displaced population across whole Safala province. However the INGC displacement data is dated 4 April for all provinces. 2.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 7,
"mention_text": "Demographic Health Survey",
"corrected_name": "Demographic Health Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence on GBV protection needs.",
"context_sentence": "Economic hardship and loss of livelihood are likely to trigger negative coping strategies, like early and forced marriage, in the need to engage in survival sex or sex work for food and money etc. Prior to the cyclone, women and girls already faced GBV protection needs: According to the latest Demographic Health Survey [(2015),](https://dhsprogram. com/pubs/pdf/AIS12/AIS12.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final",
"document_title": "Project Information Document-Integrated Safeguards Data Sheet - Equity with Quality and Learning at Secondary (EQUALS) - P164223",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 7,
"mention_text": "GBV prevalence data",
"corrected_name": "GBV prevalence data",
"specificity": "vague",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited as a sensitive data resource requiring careful handling.",
"context_sentence": "pdf) in all contexts and is recognized as one of the most pervasive yet most under-reported forms of violence in the world. Any GBV prevalence data needs to be treated with extreme caution. Field visits to district hospitals suggest that the functional hospitals have received less cases in comparison to the pre-crisis situation, which can be an indication of increased challenges in access to services or increased reporting barriers for the affected population.",
"pdf_url": "/pdfs/034_190415_gbv_secondary-data-analysis_cyclone-idai_moz_final.pdf"
},
{
"document_name": "035_1_advocacy_note_mineaction_-_niger_eng",
"document_title": "ADVOCACY NOTE A CRUCIAL NEED TO REINFORCE ACTIONS AGAINST THE GROWING THREAT OF EXPLOSIVE DEVICES (ED) IN NIGER",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 2,
"mention_text": "UNHCR Niger montlhy PoC statistics",
"corrected_name": "UNHCR Niger montlhy PoC statistics",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Provides context for understanding ED incident trends.",
"context_sentence": "**Compared to the 1st quarter of** 20 **2023, it can be noted that the number of** 20 12 **ED incidents doubled in the 2nd quarter of** 10 **2023, which indicates a worrying increase** 0 **in the threat of ED in Niger. ** This threat Graph2: Number of ED incidents per quarter 30 20 24 20 12 10 0 Q4_2022 Q1_2023 Q2_2023 1 UNHCR Niger montlhy PoC statistics, Juin 2023 2 Population displacement statistics, Ministry of Humanitarian Action and Disaster Management, july 2023 3 Source : National Commission for the Collection and Control of Illicit Weapons (CNCCAI in french)",
"pdf_url": "/pdfs/035_1_advocacy_note_mineaction_-_niger_eng.pdf"
},
{
"document_name": "035_1_advocacy_note_mineaction_-_niger_eng",
"document_title": "ADVOCACY NOTE A CRUCIAL NEED TO REINFORCE ACTIONS AGAINST THE GROWING THREAT OF EXPLOSIVE DEVICES (ED) IN NIGER",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 2,
"mention_text": "Population displacement statistics",
"corrected_name": "Population displacement statistics",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides context on population displacement trends.",
"context_sentence": "**Compared to the 1st quarter of** 20 **2023, it can be noted that the number of** 20 12 **ED incidents doubled in the 2nd quarter of** 10 **2023, which indicates a worrying increase** 0 **in the threat of ED in Niger. ** This threat Graph2: Number of ED incidents per quarter 30 20 24 20 12 10 0 Q4_2022 Q1_2023 Q2_2023 1 UNHCR Niger montlhy PoC statistics, Juin 2023 2 Population displacement statistics, Ministry of Humanitarian Action and Disaster Management, july 2023 3 Source : National Commission for the Collection and Control of Illicit Weapons (CNCCAI in french)",
"pdf_url": "/pdfs/035_1_advocacy_note_mineaction_-_niger_eng.pdf"
},
{
"document_name": "035_1_advocacy_note_mineaction_-_niger_eng",
"document_title": "ADVOCACY NOTE A CRUCIAL NEED TO REINFORCE ACTIONS AGAINST THE GROWING THREAT OF EXPLOSIVE DEVICES (ED) IN NIGER",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 3,
"mention_text": "protection monitoring data",
"corrected_name": "protection monitoring data",
"specificity": "vague",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides evidence for protection status in specified regions.",
"context_sentence": "However, according to the Child Protection Sub-cluster, the Child Protection Working Group of the Diffa region recorded 18 child victims of ED in 2022, the majority of whom (74%) are girls who went to look for firewood. 5 Departments of: Torodi, Say,Téra, Tillabéry, Gotheye, Bankilaré et, Ouallam (région de Tillabéry) et Diffa, Bosso, Mainé et N'Guingmi (region de Diffa) 6 According to protection monitoring data (P21) 1st semester 2023. 7 [Food security situation, june 2023](https://drive.",
"pdf_url": "/pdfs/035_1_advocacy_note_mineaction_-_niger_eng.pdf"
},
{
"document_name": "035_1_advocacy_note_mineaction_-_niger_eng",
"document_title": "ADVOCACY NOTE A CRUCIAL NEED TO REINFORCE ACTIONS AGAINST THE GROWING THREAT OF EXPLOSIVE DEVICES (ED) IN NIGER",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 3,
"mention_text": "2023 data for victims",
"corrected_name": "2023 data for victims",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Provides context on data availability for analysis.",
"context_sentence": "It is also important to highlight that of the 11 affected departments in the Diffa and Tillabéry regions, 9 (82%) are also affected by the food insecurity [7] . This could exacerbate 4 CNCCAI: The disaggregation by sex and age of the 2023 data for victims is not yet available. However, according to the Child Protection Sub-cluster, the Child Protection Working Group of the Diffa region recorded 18 child victims of ED in 2022, the majority of whom (74%) are girls who went to look for firewood.",
"pdf_url": "/pdfs/035_1_advocacy_note_mineaction_-_niger_eng.pdf"
},
{
"document_name": "035_1_advocacy_note_mineaction_-_niger_eng",
"document_title": "ADVOCACY NOTE A CRUCIAL NEED TO REINFORCE ACTIONS AGAINST THE GROWING THREAT OF EXPLOSIVE DEVICES (ED) IN NIGER",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "protection response monitoring data",
"corrected_name": "protection response monitoring data",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Used to analyze and observe protection interventions.",
"context_sentence": "Mapping of MA activities, 30 juin 2023 In January 2023, the Protection Cluster launched a joint initiative of mapping protection interventions including mine action. The analysis of the data resulting from this mapping combined with the analysis of the protection response monitoring data brought out the observation below: - Only two protection actors have interventions in MA which cover only a few localities of the 7 out of 11 departments affected by ED **(Ref Graph4 & Gaph2). ** 4 out of 11 departments most affected by EE remain without any LAM intervention.",
"pdf_url": "/pdfs/035_1_advocacy_note_mineaction_-_niger_eng.pdf"
},
{
"document_name": "038_1e3fe15ddbc55d878525763800599cf8-unhcr_sep2009",
"document_title": "UNHCR policy on refugee protection and solutions in urban areas",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "UNHCR’s most recent statistics",
"corrected_name": "UNHCR’s most recent statistics",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence on refugee distribution.",
"context_sentence": "In view of these developments, it is no surprise to find that a growing number and proportion of the world’s refugees are also to be found in urban areas. [1] According to UNHCR’s most recent statistics, almost half of the world’s 10. 5 million refugees now reside in cities and towns, compared to one third who live in camps.",
"pdf_url": "/pdfs/038_1e3fe15ddbc55d878525763800599cf8-unhcr_sep2009.pdf"
},
{
"document_name": "038_1e3fe15ddbc55d878525763800599cf8-unhcr_sep2009",
"document_title": "UNHCR policy on refugee protection and solutions in urban areas",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 15,
"mention_text": "surveys and opinion polls",
"corrected_name": "surveys and opinion polls",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Used to gain knowledge of urban refugees' conditions and aspirations.",
"context_sentence": "- the establishment of local community centres, where refugees and other members of the urban population can socialize and gain access to information, services, counselling and recreational facilities; - an active programme of community communications (replacing the former UNHCR notion of ‘mass information’) that enables UNHCR to keep in touch with refugees by means of activities such as cultural events, neighbourhood meetings, and, when it is technologically viable, through SMS messages, telephone hotlines and interactive websites; - professionally designed surveys and opinion polls, undertaken or commissioned by UNHCR with the intention of gaining a better knowledge of the living conditions, attitudes, intentions and aspirations of urban refugees; and, - the establishment of Field Units and Field Offices in cities and countries with particularly large and dispersed urban refugee populations. 80.",
"pdf_url": "/pdfs/038_1e3fe15ddbc55d878525763800599cf8-unhcr_sep2009.pdf"
},
{
"document_name": "038_1e3fe15ddbc55d878525763800599cf8-unhcr_sep2009",
"document_title": "UNHCR policy on refugee protection and solutions in urban areas",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 26,
"mention_text": "data on secondary movements",
"corrected_name": "data on secondary movements",
"specificity": "vague",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Data collection for understanding and responding to secondary movements.",
"context_sentence": "156. UNHCR offices will be encouraged to collect and analyze data on secondary movements so as to understand and respond effectively to their causes. UNHCR and its partners will also formulate and implement information strategies to advise refugees about the protection risks associated with secondary movements.",
"pdf_url": "/pdfs/038_1e3fe15ddbc55d878525763800599cf8-unhcr_sep2009.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 3,
"mention_text": "LMIS Logistics Management Information System",
"corrected_name": "LMIS Logistics Management Information System",
"specificity": "named",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Cited as a data system relevant to project operations.",
"context_sentence": "**The World Bank** Iraq COVID-19 Vaccination Project (P177038) ABBREVIATIONS AND ACRONYMS AEFI Adverse Events Following Immunization AF Additional Financing ACG Anti-Corruption Guidelines BFP Bank Facilitated Procurement CERC Contingent Emergency Response Component COVAX Facility COVID-19 Vaccines Global Access Facility COVID-19 Coronavirus Disease 2019 CT Computed Tomography DA Designated Account DO Development Objective EHS Environment, Health and Safety EOC Emergency Operations Center EODP Emergency Operation for Development Project EPI Expanded Program for Immunization EPRP Emergency Preparedness and Response Plan ESCP Environmental and Social Commitment Plan ESF Environmental and Social Framework ESMF Environmental and Social Management Framework EUA Emergency Use Authorization EUL Emergency Use Listing FM Financial Management FTCF Fast Track COVID-19 Facility GAVI Global Alliance for Vaccines and Immunization GDP Gross Domestic Product GOI Government of Iraq GHG Greenhouse Gas GRM Grievance Redress Mechanism GRS Grievance Redress Service HEIS Hands-on Enhanced Implementation Support HNP Health, Nutrition, and Population I3RF Iraq Reform, Recovery and Reconstruction Fund IBM Iterative Beneficiary Monitoring IBRD International Bank for Reconstruction and Development ICU Intensive Care Unit IDA International Development Association IDP Internally Displaced Persons IFC International Finance Corporation IHR International Health Regulation IPF Investment Project Financing ISR Implementation Status and Results Report LMIS Logistics Management Information System",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 16,
"mention_text": "Iraq Human Capital Index",
"corrected_name": "Iraq Human Capital Index",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a reference for understanding human capital metrics.",
"context_sentence": "com/journals/lancet/article/PIIS0140-6736(20)30750-9/fulltext#%20 3 World Bank (2020).. Iraq Human Capital Index 2020 Brief. The World Bank Group: Washington, D.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 16,
"mention_text": "index of effective coverage of health services",
"corrected_name": "index of effective coverage of health services",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical measure for assessing health coverage.",
"context_sentence": "(2020, October 17). Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 396(10258), 1250-1284.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 16,
"mention_text": "UHC effective coverage index",
"corrected_name": "UHC effective coverage index",
"specificity": "named",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited statistic to support claims about health coverage performance.",
"context_sentence": "Due to conflict and instability, Iraq faces a significant challenge of delivering care to a large number of refugees and IDPs. In summary, Iraq performs poorly across most universal health coverage (UHC) index indicators, and the UHC effective coverage index stands at only 57. 7.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 16,
"mention_text": "universal health coverage (UHC) index",
"corrected_name": "universal health coverage (UHC) index",
"specificity": "named",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited to support the claim of poor performance in health coverage.",
"context_sentence": "Due to conflict and instability, Iraq faces a significant challenge of delivering care to a large number of refugees and IDPs. In summary, Iraq performs poorly across most universal health coverage (UHC) index indicators, and the UHC effective coverage index stands at only 57. 7.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 17,
"mention_text": "Facebook survey on COVID19 vaccine hesitancy",
"corrected_name": "Facebook survey on COVID19 vaccine hesitancy",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Data collection for understanding vaccine hesitancy.",
"context_sentence": "The World Bank has also been providing TA for COVID-19 response to the MOHE under the I3RF. This includes support to the MOHE in the: (i) assessment of COVID-19 testing, contact tracing, surveillance, infection prevention and control and patient flow; (ii) development of the National Deployment and Vaccination Plan (NDVP) for COVID-19; (iii) design and implementation of a Facebook survey on COVID19 vaccine hesitancy - a first study of its kind in Iraq; and (iv) development of a COVID-19 Vaccination Communication Action Plan, incorporating the results from the survey. Per MOHE’s request, I3RF is also funding additional TA for a social media-based communication campaign to address vaccine hesitancy.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 18,
"mention_text": "integrated Vaccine Introduction Readiness Assessment Tool",
"corrected_name": "integrated Vaccine Introduction Readiness Assessment Tool",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Primary tool for assessing vaccine readiness.",
"context_sentence": "23. **The GOI, with the support of the World Bank, WHO, and UNICEF, has conducted the COVID-19 vaccine readiness** **assessment using the integrated Vaccine Introduction Readiness Assessment Tool (VIRAT)/Vaccine Readiness** **Assessment Framework (VRAF 2. 0) instrument and prepared a comprehensive NDVP (dated February 2021 and** **amended on August 8, 2021)** .",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 19,
"mention_text": "Vaccine Introduction Readiness Assessment Tool",
"corrected_name": "Vaccine Introduction Readiness Assessment Tool",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Tool for assessing readiness and identifying support areas for vaccine introduction.",
"context_sentence": "- The GOI is exploring other funding sources to secure required doses to increase coverage (including World Bank support). 6 A multi-partner effort led by WHO and UNICEF developed the Vaccine Introduction Readiness Assessment Tool (VIRAT) to support countries in developing a roadmap to prepare for vaccine introduction and identify gaps to inform areas for potential support. Building upon the VIRAT, the World Bank developed the Vaccine Readiness Assessment Framework (VRAF) to help countries obtain granular information on gaps and associated costs and program financial resources for deployment of vaccines.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 20,
"mention_text": "digital registry for\nvaccination",
"corrected_name": "digital registry for vaccination",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used for tracking vaccination data and managing records.",
"context_sentence": "- Displaced individuals residing in camps are included. - The MOHE has developed a digital registry for vaccination. - Vaccine access was expanded to the entire adult population due to the short shelf-life of some received vaccines and vaccine hesitancy.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 21,
"mention_text": "national Facebook survey",
"corrected_name": "national Facebook survey",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Informs communication strategies based on survey findings.",
"context_sentence": "- A demand generation and community engagement plan for optimizing the uptake of the COVID-19 vaccine has been developed in collaboration with the World Bank, UNICEF, and WHO and is included as an annex in the NDVP. - The communication and demand generation plan incorporates social and behavioral data from a national Facebook survey, which gathered data on vaccine hesitancy in the population, and is aimed at",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 25,
"mention_text": "national vaccination digital registry",
"corrected_name": "national vaccination digital registry",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of vaccination data for monitoring and evaluation.",
"context_sentence": "_**Intermediate results indicators**_ : **i. ** Percentage of administered COVID-19 vaccine doses captured in the national vaccination digital registry; **ii. ** Percentage of vaccination sites which publicized detailed performance data on a regular basis in the last quarter; **iii.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 28,
"mention_text": "digital registry for COVID-19 vaccination",
"corrected_name": "digital registry for COVID-19 vaccination",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used for managing and tracking vaccination processes.",
"context_sentence": "43. **The MOHE developed a digital registry for COVID-19 vaccination**, which includes four components: (i) preregistration; (ii) appointment scheduling; (iii) vaccination; and (iv) tracking AEFI. Online preregistration is encouraged for vaccination.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 34,
"mention_text": "Procurement Risk Assessment and Management System",
"corrected_name": "Procurement Risk Assessment and Management System",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Cited as a source for procurement system assessment.",
"context_sentence": "** **Assessment of MOHE‘s procurement capacity. ** The assessment of the procurement system within the MOHE was carried out during the preparation of the ongoing Iraq EODP (P155732) and recorded in the Procurement Risk Assessment and Management System (PRAM). It was noted that MOHE through the PMU has limited experience in World Bank Procurement Regulations and limited experience in procurement planning, monitoring, and contract management.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 34,
"mention_text": "Transparency International’s Corruption Perception Index",
"corrected_name": "Transparency International’s Corruption Perception Index",
"specificity": "named",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited to support the claim about Iraq's corruption ranking.",
"context_sentence": "Additionally, Iraq’s ability to manage public resources is undermined by poor security. Iraq ranks among the lowest in the region on Transparency International’s Corruption Perception Index. This is further compounded by limited human capital for procurement and contract management, as commonly evidenced by delays in decision making.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 34,
"mention_text": "World Bank online procurement planning and tracking tool",
"corrected_name": "World Bank online procurement planning and tracking tool",
"specificity": "named",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Tool for managing procurement plans and transactions.",
"context_sentence": "**Systematic Tracking of Exchanges in Procurement (STEP). ** The PMU at MOHE will use the World Bank online procurement planning and tracking tool to prepare, clear and update its procurement plans and conduct procurement transactions as referred to in the Procurement Regulations Section V, article 5. 9.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 38,
"mention_text": "vaccination database",
"corrected_name": "vaccination database",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Used for integration with health information systems.",
"context_sentence": "** **The project includes activities from which adaptation co-benefits are expected. ** These activities include technical assistance to update the national deployment and vaccination plans; support to integration of vaccination database with other health information systems; and a communication campaign to provide information to climate-vulnerable populations on vaccine delivery and contingency plans in case of extreme weather. **82.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 39,
"mention_text": "Iterative Beneficiary Monitoring (IBM) survey",
"corrected_name": "Iterative Beneficiary Monitoring (IBM) survey",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Collecting feedback on project performance.",
"context_sentence": "** While these processes ensure that communities can provide informed feedback and play a role in local monitoring, the challenge of implementation lies in social distancing policies. To ensure that communities can engage nevertheless, the project will actively engage with citizens to collect feedback on project performance, including through the use of the Iterative Beneficiary Monitoring (IBM) survey and social media surveys. Findings from such surveys will be used to improve the communication campaign and citizen engagement.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 39,
"mention_text": "GBV Information Management System",
"corrected_name": "GBV Information Management System",
"specificity": "named",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited to support findings on reported incidents of violence.",
"context_sentence": "Moreover, women have also been impacted by the discontinuity of essential RMNCAH-N services, including for maternal and sexual and reproductive health, and GBV. [11] The GBV Information Management System (GBVIMS) has recorded a marked rise in the number of reported incidents of violence in 2020. [12] 10 UN Women (2018), Gender Profile- Iraq, A situation analysis on gender equality and women empowerment in Iraq.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 39,
"mention_text": "social media surveys",
"corrected_name": "social media surveys",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Collecting community feedback on project performance.",
"context_sentence": "** While these processes ensure that communities can provide informed feedback and play a role in local monitoring, the challenge of implementation lies in social distancing policies. To ensure that communities can engage nevertheless, the project will actively engage with citizens to collect feedback on project performance, including through the use of the Iterative Beneficiary Monitoring (IBM) survey and social media surveys. Findings from such surveys will be used to improve the communication campaign and citizen engagement.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 40,
"mention_text": "Facebook survey",
"corrected_name": "Facebook survey",
"specificity": "descriptive",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited findings to support vaccination response claims.",
"context_sentence": "** COVID-19 vaccine uptake is lower among women in Iraq. According to the findings of the Facebook survey conducted under I3RF, only 25 percent of female respondents indicated they would get vaccinated when the COVID19 vaccine is made available compared to 40 percent of male respondents. Actual vaccination coverage shows more stark gender differences in uptake, with men receiving approximately 65 percent of vaccines delivered to date.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 46,
"mention_text": "national vaccination digital registry",
"corrected_name": "national vaccination digital registry",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for monitoring vaccination administration.",
"context_sentence": "**The World Bank** Iraq COVID-19 Vaccination Project (P177038) **RESULT_FRAME_TBL_PDO** **Indicator Name** **PBC Baseline** **Intermediate Targets** **End Target** **1** **2** **3** **4** **5** **6** through project financing (Number) **PDO Table SPACE** **Intermediate Results Indicators by Components** **RESULT_FRAME_TBL_IO** **Indicator Name** **PBC Baseline** **Intermediate Targets** **End Target** **1** **2** **3** **4** **5** **6** **COVID-19 Vaccines and Deployment** Percentage of administered doses which are captured in the national vaccination digital registry (Percentage) Percentage of vaccination sites which publicized detailed performance data on a regular basis in the last quarter (Percentage) Percentage of vaccination sites with functional cold chain (Percentage) Percentage of reported serious AEFI cases for which investigations were initiated within 48 hours (Percentage) 0. 00 25.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 49,
"mention_text": "national vaccination digital registry",
"corrected_name": "national vaccination digital registry",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Primary data source for tracking vaccination administration.",
"context_sentence": "Number of COVID-19 vaccine doses acquired through project financing **ME PDO Table SPACE** This indicator will measure the number of COVID-19 vaccines that have been procured by the GOI through World Bank financing support. 3 months MOHE records Administrative data **Monitoring & Evaluation Plan: Intermediate Results Indicators** **Methodology for Data** **Indicator Name** **Definition/Description** **Frequency** **Datasource** **Collection** PMU/MOHE **Responsibility for Data** **Collection** PMU/MOHE PMU/MOHE Percentage of administered doses which are captured in the national vaccination digital registry Percentage of vaccination sites which publicized detailed performance data on a regular basis in the last quarter The indicator will track the percentage of administered COVID-19 vaccines which are captured in the national vaccination digital registry. Percentage of vaccination sites which publicize detailed performance data 3 months 3 months Digital vaccination registry, vaccine logistics management information system National vaccination dashboard Administrative data Administrative data Page 43 of 54",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 49,
"mention_text": "Digital vaccination registry",
"corrected_name": "Digital vaccination registry",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Contextual reference for vaccination site performance data.",
"context_sentence": "3 months MOHE records Administrative data **Monitoring & Evaluation Plan: Intermediate Results Indicators** **Methodology for Data** **Indicator Name** **Definition/Description** **Frequency** **Datasource** **Collection** PMU/MOHE **Responsibility for Data** **Collection** PMU/MOHE PMU/MOHE Percentage of administered doses which are captured in the national vaccination digital registry Percentage of vaccination sites which publicized detailed performance data on a regular basis in the last quarter The indicator will track the percentage of administered COVID-19 vaccines which are captured in the national vaccination digital registry. Percentage of vaccination sites which publicize detailed performance data 3 months 3 months Digital vaccination registry, vaccine logistics management information system National vaccination dashboard Administrative data Administrative data Page 43 of 54",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 49,
"mention_text": "vaccine logistics management information system",
"corrected_name": "vaccine logistics management information system",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Cited as a source of performance data.",
"context_sentence": "3 months MOHE records Administrative data **Monitoring & Evaluation Plan: Intermediate Results Indicators** **Methodology for Data** **Indicator Name** **Definition/Description** **Frequency** **Datasource** **Collection** PMU/MOHE **Responsibility for Data** **Collection** PMU/MOHE PMU/MOHE Percentage of administered doses which are captured in the national vaccination digital registry Percentage of vaccination sites which publicized detailed performance data on a regular basis in the last quarter The indicator will track the percentage of administered COVID-19 vaccines which are captured in the national vaccination digital registry. Percentage of vaccination sites which publicize detailed performance data 3 months 3 months Digital vaccination registry, vaccine logistics management information system National vaccination dashboard Administrative data Administrative data Page 43 of 54",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 49,
"mention_text": "National vaccination dashboard",
"corrected_name": "National vaccination dashboard",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Cited as a source of performance data for vaccination sites.",
"context_sentence": "3 months MOHE records Administrative data **Monitoring & Evaluation Plan: Intermediate Results Indicators** **Methodology for Data** **Indicator Name** **Definition/Description** **Frequency** **Datasource** **Collection** PMU/MOHE **Responsibility for Data** **Collection** PMU/MOHE PMU/MOHE Percentage of administered doses which are captured in the national vaccination digital registry Percentage of vaccination sites which publicized detailed performance data on a regular basis in the last quarter The indicator will track the percentage of administered COVID-19 vaccines which are captured in the national vaccination digital registry. Percentage of vaccination sites which publicize detailed performance data 3 months 3 months Digital vaccination registry, vaccine logistics management information system National vaccination dashboard Administrative data Administrative data Page 43 of 54",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 50,
"mention_text": "Iraq MOHE surveillance system",
"corrected_name": "Iraq MOHE surveillance system",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Primary data source for measuring healthcare indicators.",
"context_sentence": "The aim is to measure the adequate and timely response and investigation to the reported AEFIs reported post COVID-19 vaccinations. This indicator will measure the number of Healthcare MOHE and TPMA reports Iraq MOHE surveillance system, GRM data, MOHE incident reporting and media sources. MOHE and TPM reports TPM Administrative and public data TPM MOHE/TPMA PMU/MOHE and TPMA MOHE/TPMA Page 44 of 54",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 50,
"mention_text": "Iraqi MOHE surveillance system",
"corrected_name": "Iraqi MOHE surveillance system",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Tracks and monitors adverse events following immunization.",
"context_sentence": "**The World Bank** Iraq COVID-19 Vaccination Project (P177038) on a regular basis in the last quarter 3 months 3 months Every 3 months Percentage of vaccination sites with functional cold chain Percentage of reported serious AEFI cases for which investigations were initiated within 48 hours Number of health workers who received training in vaccination with GBV-related The project will track the continuous functionality of the cold supply chain to ensure that vaccines are at all times - maintained at optimal condition until being administered to beneficiaries This indicator will measure the percentage of reported serious Adverse Events Following Immunization (AEFI) post COVID-19 vaccinations that have been reported to the Iraqi MOHE surveillance system, GRM and other channels that have been addressed and investigated within 48 hours of reporting to the total number of reported AEFIs. The aim is to measure the adequate and timely response and investigation to the reported AEFIs reported post COVID-19 vaccinations.",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 51,
"mention_text": "Administrative data",
"corrected_name": "Administrative data",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used for project operations and monitoring.",
"context_sentence": "Grievances will be tracked and analyzed, and feedback will be provided to MOHE management for corrective actions, as needed. The project operations manual will include the specific process Every 3 months 3 months MOHE/TPMA MOHE GRM records Administrative data Administrative data MOHE/TPMA MOHE/TPMA Page 45 of 54",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "040_Iraq-COVID-19-Vaccination-Project",
"document_title": "Iraq - COVID-19 Vaccination Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 52,
"mention_text": "Administrative data",
"corrected_name": "Administrative data",
"specificity": "vague",
"downstream_impact_channel": "None",
"data_use_impact": "Contextual reference to data used in reporting.",
"context_sentence": "The indicator will track the number of public meetings/consultations conducted by MOHE on the results of the project's TPMA reports to elicit citizen and public participation on the needed course correction measures. 3 months Every 3 months TPMA reports, PMU records meeting minutes, PMU documentatio n Administrative data Administrative data TPMA, PMU/MOHE PMU/MOHE Page 46 of 54",
"pdf_url": "/pdfs/040_Iraq-COVID-19-Vaccination-Project.pdf"
},
{
"document_name": "046_20140519-south-sudan-protection-cluster-trends-analysis",
"document_title": "Protection \n Trends \n Analysis May \n 2014",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 8,
"mention_text": "Small \n Arms \n Survey",
"corrected_name": "Small Arms Survey",
"specificity": "named",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Provides statistical estimates on security forces' armament.",
"context_sentence": "It is impossible to credibly estimate the extent of the flow and number of arms into and within the country, given South Sudan’s porous regional and internal borders. In 2011, Small Arms Survey estimated that the existing security forces – South Sudan People’s Liberation Army (SPLA), South Sudan National Police Service (SSNPS), Wildlife and Fire Brigade, numbering 300,000 -‐ held 317,000 small arms and light weapons in their possession. Even this figure is widely recognized as not being reflective of the real level of arms available in the country.",
"pdf_url": "/pdfs/046_20140519-south-sudan-protection-cluster-trends-analysis.pdf"
},
{
"document_name": "046_20140519-south-sudan-protection-cluster-trends-analysis",
"document_title": "Protection \n Trends \n Analysis May \n 2014",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 14,
"mention_text": "GBVIMS",
"corrected_name": "GBVIMS",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Used for data collection in GBV prevention and response efforts.",
"context_sentence": "Some actors have voiced concern at the emphasis on ‘getting the numbers’ and the persistent call for ‘evidence’ of GBV, which has undermined the GBV response and hindered preventive action being taken. While there is a need for data collection including use of GBVIMS, it should be in combination with other elements of a GBV prevention and response based on assessment of risks and evidences from other emergencies. There are many barriers to reporting and data collection.",
"pdf_url": "/pdfs/046_20140519-south-sudan-protection-cluster-trends-analysis.pdf"
},
{
"document_name": "046_Cameroon-COVID-19-Preparedness-and-Response-Project",
"document_title": "Cameroon - COVID-19 Preparedness and Response Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "Global Health Security Index",
"corrected_name": "Global Health Security Index",
"specificity": "named",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited to support the ranking of Cameroon in health security.",
"context_sentence": "**Cameroon** **ranked 115/195 on the Global Health Security Index (GHSI) with an overall score of 34. 4** **[4]** --- [4] Global Health Security Index, Building Collective Action and Accountability, October 2019.",
"pdf_url": "/pdfs/046_Cameroon-COVID-19-Preparedness-and-Response-Project.pdf"
},
{
"document_name": "046_Cameroon-COVID-19-Preparedness-and-Response-Project",
"document_title": "Cameroon - COVID-19 Preparedness and Response Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 36,
"mention_text": "Demographic Health Survey 2011",
"corrected_name": "Demographic Health Survey 2011",
"specificity": "named",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited statistics to support claims about societal views on domestic violence.",
"context_sentence": "Acceptance of the use of violence by husbands/partners is also quite high in Cameroon, particularly by women. According to the Demographic Health Survey 2011, almost half of women (47 percent) reported that men are justified for beating their wives, 38 percent of men share those views. The Cameroonian Penal Code related to GBV was revised in 2016, adding several progressive in favor of women’s rights (equal rights in divorce, reproductive rights, law against child marriage or SH) but many types of GBV/SEA/SH have not been sufficiently addressed (marital rape, domestic violence).",
"pdf_url": "/pdfs/046_Cameroon-COVID-19-Preparedness-and-Response-Project.pdf"
},
{
"document_name": "047_2014_afghanistan_refugee_and_returnee_overview",
"document_title": "The 2014 Afghanistan Refugee and Returnee Overview",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 5,
"mention_text": "Refugees surveyed in Pakistan",
"corrected_name": "Refugees surveyed in Pakistan",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical evidence for reasons behind refugees' continued stay in exile.",
"context_sentence": "**Afghan refugee returnees** While there are fewer returnees as compared to the peak years (2002-2008), Afghanistan is still the largest repatriation operation in the world. Refugees surveyed in Pakistan cited increased insecurity and economic concerns as the two biggest reasons for their continued stay in exile, in particular due to the uncertainty and heightened risk of tensions over the election period in 2014. For 2015, and based on regional consultations, UNHCR anticipates that refugees will continue to return to Afghanistan from Pakistan, Iran and other countries, with a possible slight increase on 2014 election year figures.",
"pdf_url": "/pdfs/047_2014_afghanistan_refugee_and_returnee_overview.pdf"
},
{
"document_name": "047_2014_afghanistan_refugee_and_returnee_overview",
"document_title": "The 2014 Afghanistan Refugee and Returnee Overview",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 7,
"mention_text": "IOM survey of returned migrants",
"corrected_name": "IOM survey of returned migrants",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical evidence on employment outcomes for returned migrants.",
"context_sentence": "For many returning Afghan migrants, reintegration remains a challenge. In 2011, an IOM survey of returned migrants found that only 23. 3% of respondents had been able to find paid employment.",
"pdf_url": "/pdfs/047_2014_afghanistan_refugee_and_returnee_overview.pdf"
},
{
"document_name": "051_2015-12-18_myt_web_embargoed",
"document_title": "INTRODUCTION",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 8,
"mention_text": "Fund, World Economic",
"corrected_name": "World Economic Outlook Database",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source for GDP data.",
"context_sentence": "For the purpose of this analysis, the 2014 estimates have been taken into account. **(8)** Source for GDP (PPP): International Monetary Fund, World Economic Outlook Database, October 2015 (accessed 10 November 2015). Jordan Nauru Chad Turkey South Sudan Mauritania Djibouti Sweden Malta 90 51 31 24 22 19 17 15 15 **(5)** That is the size of a refugee population compared to the Gross Domestic Product (Purchasing Power Parity) – the GDP (PPP) – per capita or to the national population size.",
"pdf_url": "/pdfs/051_2015-12-18_myt_web_embargoed.pdf"
},
{
"document_name": "051_2015-12-18_myt_web_embargoed",
"document_title": "INTRODUCTION",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 20,
"mention_text": "2014 census",
"corrected_name": "2014 census",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical basis for estimating stateless persons.",
"context_sentence": "According to the Latvian authorities, “Non-citizens of Latvia is the only category of residents who are not Latvian citizens, but who enjoy the right to reside in Latvia ex lege (all others require a resident permit) and an immediate right to acquire citizenship through registration and/or naturalisation (depending on age). ” **24** This figure is an estimate of persons without any citizenship in Rakhine state derived from the 2014 census. It does not include an estimated 175,000 IDPs, persons in an IDP-like situation and IDP returnees who are also of concern under the statelessness mandate because they are already included among the IDP figure.",
"pdf_url": "/pdfs/051_2015-12-18_myt_web_embargoed.pdf"
},
{
"document_name": "051_2015-12-18_myt_web_embargoed",
"document_title": "INTRODUCTION",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 28,
"mention_text": "UNHCR statistics",
"corrected_name": "UNHCR statistics",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides context on population inclusion criteria.",
"context_sentence": "###### Who are included in UNHCR statistics? Refugees include individuals recognized under the 1951 Convention relating to the Status of Refugees, its 1967 Protocol, the 1969 Organization of African Unity (OAU) Convention Governing the Specific Aspects of Refugee Problems in Africa, those recognized in accordance with the UNHCR Statute, individuals granted complementary forms of protection, [(1)] and those enjoying temporary protection [(2)] .",
"pdf_url": "/pdfs/051_2015-12-18_myt_web_embargoed.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 3,
"mention_text": "Annual State of Education Report",
"corrected_name": "Annual State of Education Report",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a reference for educational statistics.",
"context_sentence": "**The World Bank** Balochistan Human Capital Investment Project (P166308) ABBREVIATIONS AND ACRONYMS |AGP|Auditor General of Pakistan| |---|---| |ASER|Annual State of Education Report| |BAEC|Balochistan Assessment Examination Commission| |BCR|Benefit‐Cost Ratio| |BESP|Balochistan Education Sector Plan| |BHU|Basic Health Unit| |BISE|Board of Intermediate and Secondary Education| |CBA|Cost‐Benefit Analysis| |CE|Citizen Engagement| |CoI|Conflict of Interest| |COVID|Coronavirus Disease| |CRI|Corporate Results Indicator| |DA|Designated Account| |DDO|Drawing and Disbursement Officer| |DEA|District Education Authority| |DHIS|District Health Information System| |DOS|Directorate of Schools| |DP|Development Partner| |ECE|Early Childhood Education| |EHCWMP|Environmental and Health Care Waste Management Plan| |EMIS|Education Management Information System| |EmONC|Emergency Obstetric and Newborn Care| |EPI|Expanded Program on Immunization| |ESMF|Environmental and Social Management Framework| |FM|Financial Management| |FMS|Financial Management Specialist| |GBV|Gender‐based Violence| |GDP|Gross Domestic Product| |GoB|Government of Balochistan| |GoP|Government of Pakistan| |GPP|Governance and Policy Program| |GRM|Grievance Redress Mechanism| |GRS|Grievance Redress Service| |HCI|Human Capital Index| |HF|Health Facility| |HIES|Household Integrated Economic Survey| |HMIS|Health Management Information System| |HRH|Human Resources for Health|",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 3,
"mention_text": "Household Integrated Economic Survey",
"corrected_name": "Household Integrated Economic Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a relevant dataset for context in the project.",
"context_sentence": "**The World Bank** Balochistan Human Capital Investment Project (P166308) ABBREVIATIONS AND ACRONYMS |AGP|Auditor General of Pakistan| |---|---| |ASER|Annual State of Education Report| |BAEC|Balochistan Assessment Examination Commission| |BCR|Benefit‐Cost Ratio| |BESP|Balochistan Education Sector Plan| |BHU|Basic Health Unit| |BISE|Board of Intermediate and Secondary Education| |CBA|Cost‐Benefit Analysis| |CE|Citizen Engagement| |CoI|Conflict of Interest| |COVID|Coronavirus Disease| |CRI|Corporate Results Indicator| |DA|Designated Account| |DDO|Drawing and Disbursement Officer| |DEA|District Education Authority| |DHIS|District Health Information System| |DOS|Directorate of Schools| |DP|Development Partner| |ECE|Early Childhood Education| |EHCWMP|Environmental and Health Care Waste Management Plan| |EMIS|Education Management Information System| |EmONC|Emergency Obstetric and Newborn Care| |EPI|Expanded Program on Immunization| |ESMF|Environmental and Social Management Framework| |FM|Financial Management| |FMS|Financial Management Specialist| |GBV|Gender‐based Violence| |GDP|Gross Domestic Product| |GoB|Government of Balochistan| |GoP|Government of Pakistan| |GPP|Governance and Policy Program| |GRM|Grievance Redress Mechanism| |GRS|Grievance Redress Service| |HCI|Human Capital Index| |HF|Health Facility| |HIES|Household Integrated Economic Survey| |HMIS|Health Management Information System| |HRH|Human Resources for Health|",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 4,
"mention_text": "Balochistan Human Capital Investment Project",
"corrected_name": "Balochistan Human Capital Investment Project",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Contextual reference for project-related data.",
"context_sentence": "**The World Bank** Balochistan Human Capital Investment Project (P166308) |IA|Implementing Agency| |---|---| |IMF|International Monetary Fund| |IRR|Internal Rate of Return| |IUFR|Interim Unaudited Financial Report| |LEC|Local Education Council| |LHW|Lady Health Worker| |M&E|Monitoring and Evaluation| |MNCH|Maternal, Newborn, and Child Health| |MUC|Marginal Utility of Consumption| |NIPS|National Institute of Population Studies| |NPV|Net Present Value| |OECD|Organisation for Economic Co‐operation and Development| |PCC|Project Coordination Committee| |PDHS|Pakistan Demographic and Health Survey| |PDO|Project Development Objective| |PHC|Primary Health Care| |PITE|Provincial Institute for Teacher’s Education| |PMU|Project Management Unit| |PoR|Proof of Registration| |PPHI|People's Primary Healthcare Initiative| |PPSD|Project Procurement Strategy for Development| |PSC|Project Steering Committee| |PTSMC|Parent‐Teacher School Management Committee| |RHC|Rural Health Center| |RMNCHN|Reproductive, Maternal, Newborn, Child Health, and Nutrition| |RMP|Repatriation and Management Policy for Afghan Refugees| |RPF|Resettlement Policy Framework| |RSW|Regional Sub‐window| |SED|Secondary Education Department| |SSAR|Solution Strategy for Afghan Refugees| |STEP|Systematic Tracking of Exchanges in Procurement| |TFR|Total Fertility Rate| |UNHCR|United Nations High Commissioner for Refugees| |VSL|Value of Statistical Life| |WDI|World Development Indicator| |WHO|World Health Organization|",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 4,
"mention_text": "Pakistan Demographic and Health Survey",
"corrected_name": "Pakistan Demographic and Health Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a relevant dataset for context in the project.",
"context_sentence": "**The World Bank** Balochistan Human Capital Investment Project (P166308) |IA|Implementing Agency| |---|---| |IMF|International Monetary Fund| |IRR|Internal Rate of Return| |IUFR|Interim Unaudited Financial Report| |LEC|Local Education Council| |LHW|Lady Health Worker| |M&E|Monitoring and Evaluation| |MNCH|Maternal, Newborn, and Child Health| |MUC|Marginal Utility of Consumption| |NIPS|National Institute of Population Studies| |NPV|Net Present Value| |OECD|Organisation for Economic Co‐operation and Development| |PCC|Project Coordination Committee| |PDHS|Pakistan Demographic and Health Survey| |PDO|Project Development Objective| |PHC|Primary Health Care| |PITE|Provincial Institute for Teacher’s Education| |PMU|Project Management Unit| |PoR|Proof of Registration| |PPHI|People's Primary Healthcare Initiative| |PPSD|Project Procurement Strategy for Development| |PSC|Project Steering Committee| |PTSMC|Parent‐Teacher School Management Committee| |RHC|Rural Health Center| |RMNCHN|Reproductive, Maternal, Newborn, Child Health, and Nutrition| |RMP|Repatriation and Management Policy for Afghan Refugees| |RPF|Resettlement Policy Framework| |RSW|Regional Sub‐window| |SED|Secondary Education Department| |SSAR|Solution Strategy for Afghan Refugees| |STEP|Systematic Tracking of Exchanges in Procurement| |TFR|Total Fertility Rate| |UNHCR|United Nations High Commissioner for Refugees| |VSL|Value of Statistical Life| |WDI|World Development Indicator| |WHO|World Health Organization|",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 10,
"mention_text": "poverty headcount measured using the national poverty line",
"corrected_name": "poverty headcount measured using the national poverty line",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support the claim of poverty reduction.",
"context_sentence": "**2001 to 2015, during which the poverty headcount measured using the national poverty line fell from** **64. 3 percent to 24.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 10,
"mention_text": "World Bank Human Capital Index",
"corrected_name": "World Bank Human Capital Index",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support claims about productivity expectations for children.",
"context_sentence": "**the gains made in recent years. ** According to the World Bank Human Capital Index (HCI), if no improvements in health and education service delivery take place, a Pakistani child born today is expected to be only 40 percent as productive as s/he could be by age 18. With a large share of births taking place outside health facilities (33.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 11,
"mention_text": "Data4Pakistan‐District Development Portal",
"corrected_name": "Data4Pakistan‐District Development Portal",
"specificity": "named",
"downstream_impact_channel": "None",
"data_use_impact": "Cited as a data source for context.",
"context_sentence": "2019. Data4Pakistan‐District Development Portal (accessed on August 28, 2019).",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "Registered refugee data from UNHCR",
"corrected_name": "Registered refugee data from UNHCR",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual data source for understanding refugee demographics.",
"context_sentence": "5| |Killa Abdullah|757,578|10,775|1. 4| _Source_ : Population data from Census 2017; Registered refugee data from UNHCR as of December 31, 2019. _Note_ : The table includes data for districts with more than 10,000 registered refugees.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 13,
"mention_text": "Pakistan Education Statistics 2016–17",
"corrected_name": "Pakistan Education Statistics 2016–17",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of educational data.",
"context_sentence": "PDHS 2017–18; b. Pakistan Education Statistics 2016–17; c. Annual State of Education Report (ASER)‐ National 2018.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 13,
"mention_text": "Annual State of Education Report (ASER)",
"corrected_name": "Annual State of Education Report (ASER)",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a reference for educational statistics.",
"context_sentence": "Pakistan Education Statistics 2016–17; c. Annual State of Education Report (ASER)‐ National 2018. 13.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 13,
"mention_text": "National Survey",
"corrected_name": "National Survey",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support findings on preferences for confinement.",
"context_sentence": "2013. “Correlates of Preferences for Home or Hospital Confinement in Pakistan: Evidence from a National Survey. ” _BMC ‐ Pregnancy and Childbirth_ 13:137.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "Data on service utilization at HFs",
"corrected_name": "Data on service utilization at HFs",
"specificity": "descriptive",
"downstream_impact_channel": "None",
"data_use_impact": "Contextual information on data collection practices.",
"context_sentence": "[21] In addition, the GoB lacks health information critical for planning, budgeting, and management purposes, such as data on the availability of essential inputs for service delivery. Data on service utilization at HFs are mostly collected manually using paper forms and data controls and quality assurance mechanisms are largely nonexistent due to budget constraints. The GoB also does not have a digital registry of health care providers with basic data to manage human resources, such as job titles or professional profiles including education, work experience, and in‐service trainings.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "2018 ASER report",
"corrected_name": "2018 ASER report",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support findings on gender gaps in student learning.",
"context_sentence": "For example, approximately 60 percent of children in grade 5 could not perform a two‐digit division problem. The 2018 ASER report also highlighted a wide gender gap in student learning, with 31 percent of boys and 20 percent of girls (ages 5 to 16 years) being able to read second‐grade level sentences --- [22] In Pakistan, primary schools cover grades 1 through 5 and secondary schools cover grades 6 to 10 with middle schools for grades 6 to 8 and",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "PSLSM Survey 2014–15",
"corrected_name": "PSLSM Survey 2014–15",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited for statistical findings on healthcare-seeking behavior.",
"context_sentence": "Services delivered through the private sector are also not reported. 21 Less than 4 percent of the population seeks care at the public primary level HFs and 28 percent seeks care at higher‐level public HFs, while more than 60 percent seeks care at private HFs (PSLSM Survey 2014–15. Pakistan Bureau of Statics, 2016).",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 16,
"mention_text": "Education Management Information System (EMIS)",
"corrected_name": "Education Management Information System (EMIS)",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Facilitates improved data management for educational purposes.",
"context_sentence": "To address these challenges, BESP 2020–25 emphasizes the need to decentralize decision‐making power to the cluster level. [ 29] It also entails the formation of a Local Education Council (LEC), allocation of a drawing and disbursement officer (DDO) code to the head teacher, training of the LEC in school‐based and cluster‐level budgeting and procurement, student learning assessments across all cluster schools, and the establishment of an Education Management Information System (EMIS) cell for improved data management. [30] The SED’s limited capacity in data analysis is also hampering its ability to make timely decisions and improve planning.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 20,
"mention_text": "digital human resources database",
"corrected_name": "digital human resources database",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Facilitates the management and analysis of health sector human resources data.",
"context_sentence": "2: Strengthening health sector stewardship (US$3. 39 million equivalent)** will support strengthening health sector stewardship in selected refugee hosting districts through: (a) improving availability, quality, and use of routine health data via, inter alia, (i) developing and implementing a digital human resources database, (ii) digitizing DHIS and integrating selected parallel reporting systems, (iii) providing training, equipment, and operational support to health services providers for implementation and operationalization of HMIS, (iv) creating a user‐friendly dashboard for decision making; and (v) supporting data review meetings and data quality checks; and (b) providing training to, and building capacity of, key managerial and technical staff on selected health system strengthening subjects. The project will support a real‐time system monitoring of staff presence at HFs.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 20,
"mention_text": "DHIS",
"corrected_name": "DHIS",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Supports the integration and improvement of health data systems.",
"context_sentence": "2: Strengthening health sector stewardship (US$3. 39 million equivalent)** will support strengthening health sector stewardship in selected refugee hosting districts through: (a) improving availability, quality, and use of routine health data via, inter alia, (i) developing and implementing a digital human resources database, (ii) digitizing DHIS and integrating selected parallel reporting systems, (iii) providing training, equipment, and operational support to health services providers for implementation and operationalization of HMIS, (iv) creating a user‐friendly dashboard for decision making; and (v) supporting data review meetings and data quality checks; and (b) providing training to, and building capacity of, key managerial and technical staff on selected health system strengthening subjects. The project will support a real‐time system monitoring of staff presence at HFs.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 22,
"mention_text": "student learning assessments",
"corrected_name": "student learning assessments",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Cited to support claims about improving education services.",
"context_sentence": "** The assumptions for Component 1 are the following: (a) utilization of health services will increase due to better equipped HFs, presence of providers, and demand generation activities; (b) development and implementation of a real‐time monitoring system of HRH will empower government officials to take actions to reduce absenteeism; this in turn will improve trust in HFs and thus increase the demand for and utilization of health services; (c) training will translate into better provider knowledge, skills, and competencies, thus better health outcomes; and (d) data generation and capacity building to monitor service delivery will lead to evidence‐based decision making. For Component 2, critical assumptions include the following: (a) newly upgraded schools will increase enrollment of girls and boys; (b) additional facilities in project schools will reduce dropout rates; (c) strengthening of LECs will increase parents and larger communities’ ownership of cluster schools; and (d) results from student learning assessments will be used to improve the quality of education services. **E.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 23,
"mention_text": "HRH database",
"corrected_name": "HRH database",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used as a structured data source for monitoring health provider availability.",
"context_sentence": "**The World Bank** Balochistan Human Capital Investment Project (P166308) **Figure 1. Theory of Change** |Output Challenges|Activities|Outputs|Outcomes (PDO)|Long‐term Outcomes|Impact| |---|---|---|---|---|---| |Inadequate infrastructure,
equipment, and medicine| Renovation/upgradation of selected HFs to
24/7
Purchasing of equipment and medicines| Increased number of HFs renovated/upgraded
including female staff hostels*
Increased number of HFs with essential inputs|Improved
utilization of
quality health
services in
selected refugee
hosting districts
in Balochistan
|Improved
child health
outcomes
(reduced
under‐five
mortality,
reduced
stunting)
among
refugees and
host
communities
in Balochistan|Improved human
capital among
refugees and host
communities in
Balochistan| |Shortage, absence, low
productivity, and
competency of providers| Contracting of especially female providers*
Creation of HRH database
Competency‐based training| Increased availability of (especially female)
providers* at the HFs
Functional HRH database
Increased number of providers with minimum clinical
competency| Increased availability of (especially female)
providers* at the HFs
Functional HRH database
Increased number of providers with minimum clinical
competency| Increased availability of (especially female)
providers* at the HFs
Functional HRH database
Increased number of providers with minimum clinical
competency| Increased availability of (especially female)
providers* at the HFs
Functional HRH database
Increased number of providers with minimum clinical
competency| |Low quality and
suboptimal use of health
data| Digitization and integration of the HMIS into
the DHIS with dashboards
Data review meetings| HMIS (DHIS, vertical programs) digitized and
integrated into DHIS/DHIS2
Improved quality of DHIS reports| HMIS (DHIS, vertical programs) digitized and
integrated into DHIS/DHIS2
Improved quality of DHIS reports| HMIS (DHIS, vertical programs) digitized and
integrated into DHIS/DHIS2
Improved quality of DHIS reports| HMIS (DHIS, vertical programs) digitized and
integrated into DHIS/DHIS2
Improved quality of DHIS reports| |Weak institutional capacity| Capacity building (HMIS, monitoring,
supervision, and management)| Increased number of targeted staff with
basic/advanced competencies| Increased number of targeted staff with
basic/advanced competencies| Increased number of targeted staff with
basic/advanced competencies| Increased number of targeted staff with
basic/advanced competencies| |Low demand of health and
education services| Advocacy and awareness‐raising activities in
targeted communities and groups such as
PTSMCs| Increased awareness of available health and
education services and benefits of utilizing them| Increased awareness of available health and
education services and benefits of utilizing them| Increased awareness of available health and
education services and benefits of utilizing them| Increased awareness of available health and
education services and benefits of utilizing them| |Low demand of health and
education services| Advocacy and awareness‐raising activities in
targeted communities and groups such as
PTSMCs| Increased awareness of available health and
education services and benefits of utilizing them|Increased
utilization of
quality education
services in
selected refugee
hosting districts
in Balochistan|Improved
education
outcomes
(improved
learning‐
adjusted
years of
school)
among
refugees and
host
communities
in Balochistan|Improved
education
outcomes
(improved
learning‐
adjusted
years of
school)
among
refugees and
host
communities
in Balochistan| |Fewer secondary schools
especially for girls near
their settlements*| Upgradation of girls and boys schools
Transportation support for girls and female
teachers*| Increased number of middle and high schools
especially for girls*
Improved accessibility to schools by girls and female
teachers*| Increased number of middle and high schools
especially for girls*
Improved accessibility to schools by girls and female
teachers*| Increased number of middle and high schools
especially for girls*
Improved accessibility to schools by girls and female
teachers*| Increased number of middle and high schools
especially for girls*
Improved accessibility to schools by girls and female
teachers*| |Unavailability of female
teachers, lack of basic
facilities and suboptimal
teacher training*| Implementation of SED's model school criteria
Assessment of teacher training mechanisms
and upgradation of provincial teacher training| Increased number of schools satisfying model school
criteria (for example, staffing of qualified female
teachers and separate toilets for girls*)
Concept‐based learning assessment for grades 5 and
8 students| Increased number of schools satisfying model school
criteria (for example, staffing of qualified female
teachers and separate toilets for girls*)
Concept‐based learning assessment for grades 5 and
8 students| Increased number of schools satisfying model school
criteria (for example, staffing of qualified female
teachers and separate toilets for girls*)
Concept‐based learning assessment for grades 5 and
8 students| Increased number of schools satisfying model school
criteria (for example, staffing of qualified female
teachers and separate toilets for girls*)
Concept‐based learning assessment for grades 5 and
8 students| |Ineffective student
assessments
| Review of student assessment mechanisms
and upgrading provincial student assessment
| Student learning assessment reforms strategy| Student learning assessment reforms strategy| Student learning assessment reforms strategy| Student learning assessment reforms strategy| |Weak ownership of schools| Establishment and strengthening of LECs in
target clusters
Training of PTSMCs| Increased number of school clusters with improved
management
Improved knowledge of parents on education,
especially for their girls*| Increased number of school clusters with improved
management
Improved knowledge of parents on education,
especially for their girls*| Increased number of school clusters with improved
management
Improved knowledge of parents on education,
especially for their girls*| Increased number of school clusters with improved
management
Improved knowledge of parents on education,
especially for their girls*|",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 26,
"mention_text": "RMNCHN\nindicators",
"corrected_name": "RMNCHN indicators",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Contextual reference for health indicators in project monitoring.",
"context_sentence": "**Building on the results chain, the M&E framework identified indicators to track project** **implementation progress and impact. ** The PDO‐level health indicators are taken from the RMNCHN indicators in the DHIS, while digitization and integration of various HMIS is an intermediate indicator. The education indicators are taken from the EMIS.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 26,
"mention_text": "EMIS",
"corrected_name": "EMIS",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source of education indicators for analysis.",
"context_sentence": "** The PDO‐level health indicators are taken from the RMNCHN indicators in the DHIS, while digitization and integration of various HMIS is an intermediate indicator. The education indicators are taken from the EMIS. Where possible, relevant indicators will be disaggregated by gender.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 26,
"mention_text": "Routine surveys",
"corrected_name": "Routine surveys",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Data collection for service delivery improvement.",
"context_sentence": "**the generation of user‐friendly evidence for efficient service delivery. ** Routine surveys will be used to collate data from target facilities, which will be triangulated through the existing management information system within the Health and Secondary Education Departments. The remote monitoring system within the SED uses technology‐based data management solutions with a dashboard to display the broader analysis.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 26,
"mention_text": "management information system",
"corrected_name": "management information system",
"specificity": "vague",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Facilitates data integration and analysis for service delivery.",
"context_sentence": "**the generation of user‐friendly evidence for efficient service delivery. ** Routine surveys will be used to collate data from target facilities, which will be triangulated through the existing management information system within the Health and Secondary Education Departments. The remote monitoring system within the SED uses technology‐based data management solutions with a dashboard to display the broader analysis.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 26,
"mention_text": "HRH database",
"corrected_name": "HRH database",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Support for tracking health resources and improving decision-making.",
"context_sentence": "Process evaluations will be used to measure the quality of implementation. To tackle the challenges in evidence‐based decision making and improved accountability within the Health Department, the project will support the GoB to (a) establish or strengthen an HRH database, a health institutional database that routinely tracks facility",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 27,
"mention_text": "National Survey",
"corrected_name": "National Survey",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of evidence for preferences in confinement.",
"context_sentence": "2013. “Correlates of Preferences for Home or Hospital Confinement in Pakistan: Evidence from a National Survey. ” _BMC ‐ Pregnancy and Childbirth_ 13:137.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 28,
"mention_text": "WHO Data",
"corrected_name": "WHO Data",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a data source for health financing assessment.",
"context_sentence": "2018. _Health Financing Systems Assessment Pakistan using WHO Data. _ [54] Ministry of Federal Education and Professional Training.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 30,
"mention_text": "population numbers from census 2017",
"corrected_name": "population numbers from census 2017",
"specificity": "descriptive",
"downstream_impact_channel": "Resource Allocation",
"data_use_impact": "Input for per capita allocation calculations.",
"context_sentence": "22| _Note:_ Government expenditure data from GoB audited financial statements. Per capita allocations computed using population numbers from census 2017 and annualized population growth rate between 1998 and 2017. [ 60] **B.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 31,
"mention_text": "environmental and health care waste management plan",
"corrected_name": "environmental and health care waste management plan",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Framework for managing health care waste during construction and operations.",
"context_sentence": "** In line with OP 4. 01 and to assess the potential environmental and social impacts, the GoB has prepared (a) an Environmental and Social Management Framework (ESMF) for construction‐related activities for health and education facilities and (b) an environmental and health care waste management plan (EHCWMP) for issues related to health care waste management during construction and operations. The EHCWMP incorporates the World Bank Group’s Environment, Health, and Safety Guidelines and Industry Sector Guidelines for Health Care Facilities.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 38,
"mention_text": "School census",
"corrected_name": "School census",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used for evaluating educational interventions and tracking student enrollment.",
"context_sentence": "**The World Bank** Pakistan: Balochistan Human Capital Investment Project (P166308) **UL Table SPACE** |Monitoring & Evaluation Plan: PDO Indicators|Col2|Col3|Col4|Col5|Col6| |---|---|---|---|---|---| |**Indicator Name **|**Definition/Description **|**Frequency **|**Datasource **|**Methodology for Data**
**Collection **|**Responsibility for Data**
**Collection **| |People who have received essential
health, nutrition, and population (HNP)
services||Bi‐annual
|DHIS, LHW,
MNCH, EPI
|Routine HMIS
|DoH, HMIS, LHW,
MNCH, EPI
| |People who have received essential
health, nutrition, and population
(HNP) services ‐ Female (RMS
requirement)||Bi‐annual
|DHIS, LHW,
MNCH, EPI
|Routine HMIS
|DoH, HMIS, LHW,
MNCH, EPI
| |Number of deliveries attended by
skilled health personnel||Bi‐annual
|DHIS, LHW,
MNCH
|Routine HMIS
|DoH, HMIS, LHW,
MNCH
| |Number of children immunized||Bi‐annual
|EPI
|Routine HMIS
|DoH, EPI
| |Number of children immunized ‐
Female|Cumulative number of girls
below 12 months
immunized with measles‐1
on time in target areas|Bi‐annual
|EPI
|Routine HMIS
|DoH, EPI
| |Students benefiting from direct
interventions to enhance learning||Annual
|School
register
|School census
|SED, PMU
| |Female students enrolled in project
schools|Cumulative number of
female students enrolled in
project supported schools|Annual
|School
register
|School census
|SED, PMU
| |Targeted schools meeting at least 3 model
school criteria|Percentage of target schools
with at least three out of
five criteria covering: (a)
dedicated ECE classroom
and teacher; (b) 50% of|Annual
|School
Profiles
|Census based analysis
of model school
scorecard
|SED, PMU
| Page 33 of 47",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 39,
"mention_text": "Self‐reported data",
"corrected_name": "Self‐reported data",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Data source for monitoring health service delivery.",
"context_sentence": "**The World Bank** Pakistan: Balochistan Human Capital Investment Project (P166308) |Monitoring & Evaluation Plan: Intermediate Results Indicators|Col2|Col3|Col4|Col5|Col6| |---|---|---|---|---|---| |**Indicator Name **|**Definition/Description **|**Frequency **|**Datasource **|**Methodology for Data**
**Collection **|**Responsibility for Data**
**Collection **| |Targeted HFs having majority of essential
medicines for RMNCHN services|Percentage of targeted HFs
having > 75 percent of
essential RMNCHN
medicines. |Bi‐annual
|Health
institutional
database
|Self‐reported data
|Health Department,
HMIS, PPHI
| |Absenteeism among key staff to provide
RMNCHN services|Percentage of key staff
present at HFs during duty
time to provide RMNCHN
services.
Baseline is a preliminary
estimate.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 39,
"mention_text": "HMIS",
"corrected_name": "HMIS",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of administrative data for monitoring health indicators.",
"context_sentence": "|Bi‐annual
|Real time
monitoring
system
|Administrative data
|Health Department, PMU
| |Targeted health care providers with
minimum knowledge and competencies in
RMNCHN services|Percentage of targeted staff
with minimum knowledge
and competencies in
RMNCHN services. |Bi‐annual
|PMU
|Training report
|Health Department, PMU
| |Targeted HMIS digitally integrated into
DHIS(2)|Cumulative number of
RMNCHN relevant health
information systems
digitally integrated into
DHIS(2). |Annual
|DHIS(2)
|Administrative data
|Health Department,
HMIS, PMU
| Page 34 of 47",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 39,
"mention_text": "DHIS(2)",
"corrected_name": "DHIS(2)",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of health information system integration data.",
"context_sentence": "|Bi‐annual
|PMU
|Training report
|Health Department, PMU
| |Targeted HMIS digitally integrated into
DHIS(2)|Cumulative number of
RMNCHN relevant health
information systems
digitally integrated into
DHIS(2). |Annual
|DHIS(2)
|Administrative data
|Health Department,
HMIS, PMU
| Page 34 of 47",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 39,
"mention_text": "Administrative data",
"corrected_name": "Administrative data",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used as a data source for monitoring indicators.",
"context_sentence": "|Bi‐annual
|PMU
|Training report
|Health Department, PMU
| |Targeted HMIS digitally integrated into
DHIS(2)|Cumulative number of
RMNCHN relevant health
information systems
digitally integrated into
DHIS(2). |Annual
|DHIS(2)
|Administrative data
|Health Department,
HMIS, PMU
| Page 34 of 47",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 40,
"mention_text": "Balochistan Human Capital Investment Project",
"corrected_name": "Balochistan Human Capital Investment Project",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Framework for monitoring and evaluating educational interventions.",
"context_sentence": "**The World Bank** Pakistan: Balochistan Human Capital Investment Project (P166308) |Col1|Col2|Col3|Col4|Col5|Col6| |---|---|---|---|---|---| |Targeted school clusters with improved
cluster‐based governance|Percentage of targeted
school clusters providing
evidence for: (a) DDO code
allocated to cluster head; (b)
LECs preparing cluster plans
and budgets; (c) training of
head teachers at the cluster
head‐level on participatory
planning, school‐based
budgeting, cluster‐level
procurement, and
conducting summative and
formative student
assessments; and (d) EMIS
Cells gathering cluster data
and submitting to DEA and
SED|Annual
|Notification,
cluster plan
|Cluster census
|SED, PMU
| |Student learning assessment reforms
strategy implemented|(a) development of a
strategy with assessment
framework; (b) completion
of an assessment as per the
framework; and (c) revision
of teacher training
integrating the results from
assessments, delineating a
time‐bound and costed
action plan with
responsibilities|Bi‐annual
|Implementati
on progress
report
|Strategy, assessment
reports
|SED, PMU
| |Grade 5 and 8 students scoring at least
50% in concept‐based learning
assessment in project schools|Percentage of students
enrolled in grade 5 and 8
from project schools who|Annual,
from YR3
|Learning
assessment
results|Sample based
assessment
|SED PMU, BAEC
| Page 35 of 47",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 41,
"mention_text": "Balochistan Human Capital Investment Project",
"corrected_name": "Balochistan Human Capital Investment Project",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Cited as context for project-related data.",
"context_sentence": "**The World Bank** Pakistan: Balochistan Human Capital Investment Project (P166308) |Col1|scored at least 50 percent in
concept‐based learning
assessments|Col3|Col4|Col5|Col6| |---|---|---|---|---|---| |Targeted female teachers trained|Percentage of targeted
female teachers trained|Annual
|Teachers
database
|Census
|PITE
| |Grievances registered related to delivery
of project benefits that are addressed
|Percentage of project‐
related grievances
registered and addressed
within one month|Annual
|Grievance
registers
|Administrative data
|Health and Education
PMUs
| Page 36 of 47",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 41,
"mention_text": "Administrative data",
"corrected_name": "administrative data",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Contextual reference for data sources used in project evaluation.",
"context_sentence": "**The World Bank** Pakistan: Balochistan Human Capital Investment Project (P166308) |Col1|scored at least 50 percent in
concept‐based learning
assessments|Col3|Col4|Col5|Col6| |---|---|---|---|---|---| |Targeted female teachers trained|Percentage of targeted
female teachers trained|Annual
|Teachers
database
|Census
|PITE
| |Grievances registered related to delivery
of project benefits that are addressed
|Percentage of project‐
related grievances
registered and addressed
within one month|Annual
|Grievance
registers
|Administrative data
|Health and Education
PMUs
| Page 36 of 47",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 43,
"mention_text": "World Development Indicators (WDI)",
"corrected_name": "World Development Indicators (WDI)",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of data for context.",
"context_sentence": "02| _Source_ : a. World Development Indicators (WDI) --- [68] The data are from the WDI database. No time series of GDP growth is available for Balochistan.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 43,
"mention_text": "WDI database",
"corrected_name": "WDI database",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of data for context.",
"context_sentence": "02| _Source_ : a. World Development Indicators (WDI) --- [68] The data are from the WDI database. No time series of GDP growth is available for Balochistan.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 44,
"mention_text": "1998 and 2017 Pakistan censuses",
"corrected_name": "1998 and 2017 Pakistan censuses",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Census data used for calculating population growth rates.",
"context_sentence": "Baseline utilization data for 2017 and 2018, in the target HFs came from the Balochistan DHIS. To project the 2019 utilization for each service, the average over the two baseline years is used, accounting for increases in utilization due to population growth by applying to this the mean annualized, district‐specific population growth rate derived from the 1998 and 2017 Pakistan censuses. [69] It is assumed that the project benefits will materialize from the second year over the period FY21–24 and that the magnitude of impacts is expected to depend on the type of intervention that a facility receives: service utilization of facilities that will be improved within their current level of care is assumed to increase by 30 percent between FY20 and FY24, an annualized increase of 6.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 44,
"mention_text": "2012 and 2017–18 PDHS",
"corrected_name": "2012 and 2017–18 PDHS",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited mortality rates to support claims about service utilization impact.",
"context_sentence": "3) **. ** The increase in service utilization is translated into deaths averted using published empirical studies; mortality rates for Balochistan were taken from the 2012 and 2017–18 PDHS. [70] Effect sizes for the impacts of an additional skilled birth on maternal and neonatal mortality rates come from Graham, Bell, and Bullough (2001) [71] and Bhutta et al.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 46,
"mention_text": "EMIS",
"corrected_name": "EMIS",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Source of enrollment data for gender distribution analysis.",
"context_sentence": "In the absence of longitudinal data to estimate current completion rates, the CBA is limited to the benefits of additional years of schooling due to the project’s impact on school enrollment. The sex and grade distribution of students in each project district from Balochistan’s EMIS is used to determine the share of girls and boys in each grade among the 18,000 students currently enrolled. Assuming no impact in the first project year, the number of additional boys and girls enrolled in each grade for each year in FY21–FY24 is then estimated using the targeted annual growth rate of enrollment (table 1.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 46,
"mention_text": "WDI",
"corrected_name": "WDI",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited for economic growth projections.",
"context_sentence": "Private costs in the form of spending on schooling (uniforms, books, and fees) by households enrolling children in school and in the form of forgone income of children who would work if not enrolled in school are considered. Estimates of both are based on HIES 2015–16 and are projected to later years using real per capita GDP growth rates from the WDI. The present value of private costs incurred by the additional school years generated by the project amounts to between US$1,752,481 and US$1,818,336, roughly 10 percent of discounted total project costs 15.",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 46,
"mention_text": "mortality estimates for Pakistan",
"corrected_name": "mortality estimates for Pakistan",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support adjustments in mortality analysis.",
"context_sentence": "It is also assumed that the work lives of the beneficiaries span from age 17 to 65. Finally, mortality in the treated cohorts during their work lives, using annualized survival rates of men and women, is adjusted based on mortality estimates for Pakistan that are found in Dicker et al. (2018).",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 50,
"mention_text": "Balochistan Human Capital Investment Project",
"corrected_name": "Balochistan Human Capital Investment Project",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Framework for assessing risks and mitigation measures in project management.",
"context_sentence": "**The World Bank** Balochistan Human Capital Investment Project (P166308) |Risk Description|Mitigation Measure|Residual
Risk| |---|---|---| |issues in PMUs|perform Systematic Tracking of Exchanges in Procurement
(STEP) walkthrough
(b) Periodic procurement and contract management clinics
(remotely or clubbed through implementation supervision
missions)|| |Delays in delivery of procured
goods, works and services|(a) Development of realistic timelines and payment terms in
Standard Procurement Documents
(b) Execution of penalties for goods and works
(c) Documenting of poor/delayed performance of consulting
contract for instating remedial actions
(d) Seeking of proactive communications between borrowers and
their contractors/consultants for critical contracts|Substantial
| |Risk of sustainability of upgraded
HFs due to absence of providers
(for example, lady medical
officer, gynecologist,
anesthesiologist, and so on) and
their subsequent relocation
from remote facilities|Recruitment of key specialists as individual consultants while
prescribing qualification and experience that ensures a larger
uptake and triggering termination on basis of any action to
influence relocation|Substantial| |Suboptimal use of medical
equipment due to poor training,
and operations/maintenance|Review of technical specifications by the World Bank’s expert
panel for support|Substantial| |Development of software
requirement specifications for
digitization in health and
education|(a) Outsourcing of assessment for bespoke development or off‐
the‐shelf procurement
(b) Proactive engagement in development of robust technical
specifications ideally with the World Bank’s oversight|Substantial| |Timely closure of contracts|Development of contract management plans for all critical and
prior review procurements|Moderate| |Low response to specialized
goods and services in local
markets|(a) Proactive information and outreach events before initiation of
procurements
(b) Advertisement in the national newspapers inviting national
level bidders/consultants|Moderate|",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "051_Pakistan-Balochistan-Human-Capital-Investment-Project",
"document_title": "Pakistan - Balochistan Human Capital Investment Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 50,
"mention_text": "Systematic Tracking of Exchanges in Procurement",
"corrected_name": "Systematic Tracking of Exchanges in Procurement",
"specificity": "descriptive",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Used for monitoring and managing procurement processes effectively.",
"context_sentence": "**The World Bank** Balochistan Human Capital Investment Project (P166308) |Risk Description|Mitigation Measure|Residual
Risk| |---|---|---| |issues in PMUs|perform Systematic Tracking of Exchanges in Procurement
(STEP) walkthrough
(b) Periodic procurement and contract management clinics
(remotely or clubbed through implementation supervision
missions)|| |Delays in delivery of procured
goods, works and services|(a) Development of realistic timelines and payment terms in
Standard Procurement Documents
(b) Execution of penalties for goods and works
(c) Documenting of poor/delayed performance of consulting
contract for instating remedial actions
(d) Seeking of proactive communications between borrowers and
their contractors/consultants for critical contracts|Substantial
| |Risk of sustainability of upgraded
HFs due to absence of providers
(for example, lady medical
officer, gynecologist,
anesthesiologist, and so on) and
their subsequent relocation
from remote facilities|Recruitment of key specialists as individual consultants while
prescribing qualification and experience that ensures a larger
uptake and triggering termination on basis of any action to
influence relocation|Substantial| |Suboptimal use of medical
equipment due to poor training,
and operations/maintenance|Review of technical specifications by the World Bank’s expert
panel for support|Substantial| |Development of software
requirement specifications for
digitization in health and
education|(a) Outsourcing of assessment for bespoke development or off‐
the‐shelf procurement
(b) Proactive engagement in development of robust technical
specifications ideally with the World Bank’s oversight|Substantial| |Timely closure of contracts|Development of contract management plans for all critical and
prior review procurements|Moderate| |Low response to specialized
goods and services in local
markets|(a) Proactive information and outreach events before initiation of
procurements
(b) Advertisement in the national newspapers inviting national
level bidders/consultants|Moderate|",
"pdf_url": "/pdfs/051_Pakistan-Balochistan-Human-Capital-Investment-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 4,
"mention_text": "National Household Budget and Poverty Survey",
"corrected_name": "National Household Budget and Poverty Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Listed as a data source in the context of abbreviations and acronyms.",
"context_sentence": "ABBREVIATIONS AND ACRONYMS AFS Annual Financial Statement BERP Basic Education Recovery Project BESP Basic Education Support Project DA Designated Account DPs Development Partners ESA Education Sector Analysis ESCP Environmental and Social Commitment Plan ( ESSP Education Sector Strategic Plan ESPIG Education Sector Program Implementation Grant FM Financial Management GDP Gross Domestic Product GER Gross Enrollment Rate GOS Government of Sudan GPE Global Partnership for Education IDP Internally Displaced Person IFT Interim unaudited Financial Reports ISN Interim Strategy Note ISP Intermediary Support Provider MOE Ministry of Education MOFEP Ministry of Finance and Economic Planning NAC National Audit Chamber NER Net Enrollment Rate NHBPS National Household Budget and Poverty Survey NLA National Learning Assessment OOSC Out-of-School-Children PCU Project Coordination Unit PFS Project Financial Statements PDO Project Development Objective PPSD Project Procurement Strategy for Development PSC Project Steering Committee PTA Parents and Teachers Association PTR Pupil-teacher Ratio SDG Sudanese Pounds SOE Statement of Expenditures SRR Social Risk Rating SSA Sub-Saharan Africa UNICEF United Nations Children’s Fund USD United States Dollar WDR World Development Report",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "National Household Budget and Poverty Survey",
"corrected_name": "National Household Budget and Poverty Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides official poverty estimates for Sudan.",
"context_sentence": "**Poverty reduction stagnated in 2018 mainly due to weak economic growth, political and macroeconomic** **instability and the shortage of essential food items such as bread. ** According to the most recent official estimates of poverty based on the 2014/15 National Household Budget and Poverty Survey (NHBPS), 36. 1 percent of Sudanese population (or 13.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 13,
"mention_text": "Multiple Indicator Cluster Survey",
"corrected_name": "Multiple Indicator Cluster Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence for enrollment rates.",
"context_sentence": "** GER has been stagnant and low compared to other comparator countries: 72 percent (2008/09) and 73 percent (2016/17). According to the data from 2014/15 Multiple Indicator Cluster Survey (MICS), Net Enrollment Rate (NER) is 69 percent with NER for boys 2 percentage points higher compared to girls (70 and 68 percent, respectively). While girls’ and boys’ Grade 1 enrollment rates in urban areas are similar, male Grade 1 enrollment rates in rural areas are six percentage points higher than those for girls.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 13,
"mention_text": "UNESCO UIS data",
"corrected_name": "UNESCO UIS data",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a data source for background information.",
"context_sentence": "**Figure 1: Primary education enrollment rates** Access to basic education in Sudan at the beginning and end of Primary education GER in 2016 or the the cycle in Sudan by gender, location, and wealth quintile latest available, selected countries (2014) 98 96 Boys Girls 92 86 81 82 77 100 94 34 55 46 Grade 1 Grade 8 Grade 1 Grade 8 Urban Rural Grade 1 Grade 8 Bottom 20% Top 20% _Source:_ Authors’ estimates based on MICS2014/15. _Source:_ Authors on UNESCO UIS data. **12.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 13,
"mention_text": "Annual School Census",
"corrected_name": "Annual School Census",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence for the number of students out of school.",
"context_sentence": "An estimated 6. 2 million students are out of school due to the lockdown (Annual School Census, 2018). If this situation is permitted to continue unabated, it could have profound, long-term negative impacts on the country's development.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 14,
"mention_text": "National Household Budget and Poverty Survey",
"corrected_name": "National Household Budget and Poverty Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical evidence for reasons children do not attend school.",
"context_sentence": "The system still has late entry until 11 years, with children who do not attend school before turning 12 are likely not to attend ever. According to the results of the National Household Budget and Poverty Survey (NHBPS) conducted in 2014/15, the main reasons for not attending school for children between the age of 6 and 15 are high costs (mentioned by 20 percent of respondents), distance to schools (14 percent), and the need for the child to support the family (6 percent) (World Bank, 2018). There is a significant risk that OOSC will increase further when schools reopen again post COVID-19.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "National Learning Assessment",
"corrected_name": "National Learning Assessment",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical evidence of educational outcomes for Grade 3 pupils.",
"context_sentence": "**Learning outcomes in Sudan schools are generally low** . According to the National Learning Assessment (NLA) conducted in 2015 for Grade 3 pupils, the results were low in all domains of the assessment: reading, writing, and numeracy. For example, only 5 percent of pupils could read fluently (more than 60 words per minute) in Arabic, and 40 percent were not able to read at all.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 19,
"mention_text": "Annual School Census",
"corrected_name": "Annual School Census",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides enrollment statistics for refugee and IDP students.",
"context_sentence": "_(v) Improve equity in education by helping children in disadvantaged situation including IDPs, refugees, girls_ . According to the latest Annual School Census, public schools enroll 30 thousand refugee students (in 1,681 schools) and 280 thousand IDPs (in 1,852 schools). While IDP children are concentrated in three Darfur states (68 percent of Page 14 of 40",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 20,
"mention_text": "School Census in 2015-2019",
"corrected_name": "School Census in 2015-2019",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Data used for targeting project beneficiaries.",
"context_sentence": "**Selection of intervention schools** : The project will target all public primary schools in Sudan. Rich schoollevel data obtained from the School Census in 2015-2019 with support from the BERP will be used for the targeting of project beneficiaries (figure 4). Page 15 of 40",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 21,
"mention_text": "2018/19 School Census",
"corrected_name": "2018/19 School Census",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Primary data source for generating the heat map.",
"context_sentence": "**The World Bank** Sudan Basic Education Emergency Support Project (P172812) **Figure 4: Heat map of Sudan’s basic education schools** _Source:_ Based on 2018/19 School Census using Arcgis software. 39.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 21,
"mention_text": "Annual School Census",
"corrected_name": "Annual School Census",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Data source for monitoring school-level progress.",
"context_sentence": "Technical experts will be mobilized as necessary. The PCU will monitor the progress by collecting and analyzing school-level data under the the Annual School Census. **C.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 24,
"mention_text": "school data",
"corrected_name": "school data",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used for planning and monitoring at the school level.",
"context_sentence": "Under the School Grants Program (Component 1), schools will receive regular supervision and support from localities, which means the latter will also need to strengthen their capacity to perform this task. Localities will train PTAs on participatory planning and use of school data for planning and monitoring purpose at the school level. Localities will receive support for coaching and monitoring the reading program.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 40,
"mention_text": "School Census 2018",
"corrected_name": "School Census 2018",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Provides empirical evidence for educational statistics.",
"context_sentence": "2% 52. 6% _Source:_ authors’ estimates based on the data from Sudan MICS 2014* and School Census 2018** 3. About seven percent of people never attended school in 2014.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 40,
"mention_text": "School Census data",
"corrected_name": "School Census data",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence on student enrollment patterns.",
"context_sentence": "The lack of supply (overcrowded classrooms, ‘open-air’ or temporary classrooms, and incomplete schools) also negatively effects retention rates. According to the School Census data, 16 percent of students are enrolled in a school that does not provide full course of basic education cycle (8 grades). In addition, these students are likely to drop out before completion.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 40,
"mention_text": "data from Sudan MICS 2014",
"corrected_name": "data from Sudan MICS 2014",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Source for statistical estimates in education indicators.",
"context_sentence": "2% 52. 6% _Source:_ authors’ estimates based on the data from Sudan MICS 2014* and School Census 2018** 3. About seven percent of people never attended school in 2014.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 41,
"mention_text": "2018 School Census data",
"corrected_name": "2018 School Census data",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical input for estimating labor earnings.",
"context_sentence": "To that end, it is expected that the proposed interventions will affect the probability of a child completing primary education and transitioning to the secondary level. This, in turn, will yield gains in labor earnings measured 3 Authors’ estimation based on 2018 School Census data and reported USD/SDG exchange rate (Economist). Page 36 of 40",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 41,
"mention_text": "National Learning Assessment",
"corrected_name": "National Learning Assessment",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical evidence on literacy rates among grade 3 pupils.",
"context_sentence": "**Learning levels of students in basic schools in Sudan are generally weak** . Representative evidence from the National Learning Assessment find that on average 39 percent of grade 3 pupils are not able to read a single word and only 5 percent of pupils read fluently (more than 60 words per minute) in Arabic (NLA, 2018). Furthermore, the assessment of reading speed among third graders indicated an average speed of 15 words per minute, which is far below the estimated minimum reading speed of 40 words per minute thought to be necessary to gain understanding of and meaning from the text.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 43,
"mention_text": "Sudan MICS 2014/15 data",
"corrected_name": "Sudan MICS 2014/15 data",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical basis for population distribution analysis.",
"context_sentence": "5% 6. 0% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Poorest Second Middle Fourth Richest _Source:_ estimations based on Sudan MICS 2014/15 data. 17.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 43,
"mention_text": "Sudan MICS, 2014/15 data",
"corrected_name": "Sudan MICS, 2014/15 data",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical basis for literacy rate estimations.",
"context_sentence": "Even among those that never completed basic education, the share of literate people is above 80 percent after completing at least six grades compared to only 15 percent of people that attended only first grade of basic education (figure A3-2). Figure A3-2: Women's literacy rates in Sudan, 2014 Women's literacy rates 100% 80% 60% 40% 20% 0% Highest grade of basic education attended Weath index quintile Location _Source:_ estimations based on Sudan MICS, 2014/15 data. _Note:_ a woman is literate if she is able to read parts of sentence or able to read whole sentence _Impact on Internal Efficiency Estimates and Cost Savings_ 18.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 44,
"mention_text": "School Census",
"corrected_name": "School Census",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source of enrollment data for efficiency gain estimates.",
"context_sentence": "**The World Bank** Sudan Basic Education Emergency Support Project (P172812) 19. The current economic analysis presents estimates of the efficiency gains in basic education to 2021, based on enrollment estimates employing UN population projections, average values from recent years for intake into Grade 1 of basic education (from the School Census) relative to population, and recent trends in promotion and retention in each grade of basic school. The analysis employs the same projections as the current Education Sector Strategic Plan (ESSP) including for the GDP growth (IMF/World Bank), share of domestic resources spent on education (a 0.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 44,
"mention_text": "UN population projections",
"corrected_name": "UN population projections",
"specificity": "descriptive",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Used to estimate efficiency gains in education.",
"context_sentence": "**The World Bank** Sudan Basic Education Emergency Support Project (P172812) 19. The current economic analysis presents estimates of the efficiency gains in basic education to 2021, based on enrollment estimates employing UN population projections, average values from recent years for intake into Grade 1 of basic education (from the School Census) relative to population, and recent trends in promotion and retention in each grade of basic school. The analysis employs the same projections as the current Education Sector Strategic Plan (ESSP) including for the GDP growth (IMF/World Bank), share of domestic resources spent on education (a 0.",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "054_Sudan-Basic-Education-Emergency-Support-Project",
"document_title": "Sudan - Basic Education Emergency Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 45,
"mention_text": "Sudan MICS data",
"corrected_name": "Sudan MICS data",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source data for estimating education completion rates.",
"context_sentence": "0 35. 4 _Source:_ authors’ estimation based on Sudan MICS data 24. _Conclusion_ .",
"pdf_url": "/pdfs/054_Sudan-Basic-Education-Emergency-Support-Project.pdf"
},
{
"document_name": "055_Chad-COVID-19-Response-Project",
"document_title": "Chad - COVID-19 Response Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 14,
"mention_text": "Country Policy and Institutional Assessment",
"corrected_name": "Country Policy and Institutional Assessment",
"specificity": "named",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Used to classify Chad's status as an FCV country.",
"context_sentence": "**Chad is highly vulnerable to the impact of climate change and it has repeatedly experienced security** **threats over the last decade** . With a Country Policy and Institutional Assessment (CPIA) of 2. 7 in 2018, Chad is classified as a Fragility, Conflict and Violence (FCV) country.",
"pdf_url": "/pdfs/055_Chad-COVID-19-Response-Project.pdf"
},
{
"document_name": "055_Chad-COVID-19-Response-Project",
"document_title": "Chad - COVID-19 Response Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 14,
"mention_text": "DHS 2014/15",
"corrected_name": "DHS 2014/15",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical evidence for fertility rate statistics.",
"context_sentence": "With a Total Fertility Rate (TFR) of 6. 4 Chad is among the fastest growing countries in the world (DHS 2014/15). Nutrition outcomes, in turn, are very poor with 40 percent of children under five being stunted (World Bank, 2018).",
"pdf_url": "/pdfs/055_Chad-COVID-19-Response-Project.pdf"
},
{
"document_name": "055_Chad-COVID-19-Response-Project",
"document_title": "Chad - COVID-19 Response Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 14,
"mention_text": "Joint External Evaluation",
"corrected_name": "Joint External Evaluation",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited to support claims about capacity constraints.",
"context_sentence": "Several factors help explain the performance of Chad’s health sector, including: (i) limited financial resources; (ii) salient shortages of health workers and inadequate infrastructure; and (iii) significant geographic barriers to the delivery of health services. In addition, Chad’s Joint External Evaluation (JEE) conducted in 2017 revealed important capacity constraints in all 19 technical areas. This shows the country’s vulnerability to health security threats.",
"pdf_url": "/pdfs/055_Chad-COVID-19-Response-Project.pdf"
},
{
"document_name": "055_Chad-COVID-19-Response-Project",
"document_title": "Chad - COVID-19 Response Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "SARA survey",
"corrected_name": "SARA survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides empirical evidence on health facility conditions.",
"context_sentence": "The number of health facilities in Chad is low and more than 3,000 facilities are needed to reach WHO target of two facilities per 10,000 inhabitants. Further, according to the most recent SARA survey, one in three health facilities had access to electricity and two in three had access to improved water sources. The availability of essential medical equipment (scales, thermometers, stethoscopes, etc.",
"pdf_url": "/pdfs/055_Chad-COVID-19-Response-Project.pdf"
},
{
"document_name": "055_Chad-COVID-19-Response-Project",
"document_title": "Chad - COVID-19 Response Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "DHS 2014/2015",
"corrected_name": "DHS 2014/2015",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence on women's health service utilization.",
"context_sentence": "In 2017, one in four children under five received all required vaccines. According to the DHS 2014/2015, only 25 percent of women attended at least four antenatal care visits and less than 30 percent delivered at a health facility. These coverage rates reflect a low demand for health services and great difficulties delivering health services through outreach.",
"pdf_url": "/pdfs/055_Chad-COVID-19-Response-Project.pdf"
},
{
"document_name": "055_Chad-COVID-19-Response-Project",
"document_title": "Chad - COVID-19 Response Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 20,
"mention_text": "rapid community behavior assessment",
"corrected_name": "rapid community behavior assessment",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Data collection to inform COVID-19 response strategies.",
"context_sentence": "Communication activities will cover the entire country using cost effective channels of communications such as radio, television and social media as appropriate, as well as SBC campaigns in schools, workplaces, and through ongoing outreach activities of various ministries and sectors, especially ministries of health, education, agriculture, and transport. This will be done after a rapid community behavior assessment to gather information about the knowledge, attitudes, beliefs and challenged related COVID-19 response. This component will primarily finance the production of SBC and mass media products as well as buying the airtime of mass media.",
"pdf_url": "/pdfs/055_Chad-COVID-19-Response-Project.pdf"
},
{
"document_name": "055_Chad-COVID-19-Response-Project",
"document_title": "Chad - COVID-19 Response Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 22,
"mention_text": "District Health Information System",
"corrected_name": "District Health Information System",
"specificity": "named",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Support for health data management and system strengthening.",
"context_sentence": "In Chad, REDISSE IV will finance surveillance and laboratory capacity development, emergency planning and management, workforce development, and institutional capacity building. An important contribution from REDISSE IV will be the support to the roll-out of District Health Information System (DHIS2) and the overall strengthening of the country’s health management information system. 47.",
"pdf_url": "/pdfs/055_Chad-COVID-19-Response-Project.pdf"
},
{
"document_name": "056_Niger-COVID-19-Emergency-Response-Project",
"document_title": "Niger - COVID-19 Emergency Response Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 14,
"mention_text": "Human Capital Index",
"corrected_name": "Human Capital Index",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support claims about productivity potential.",
"context_sentence": "Niger remains a low-income country with a very poor human development indicator. Niger ranks 155 out 157 countries in the Human Capital Index (HCI) which shows that Nigeriens born today will only reach 32 percent of their productivity potential, due to serious deficiencies in health and education services. Equally worrying is the fact that 47 out of 100 children are stunted, at risk of cognitive and physical limitations that can last a lifetime.",
"pdf_url": "/pdfs/056_Niger-COVID-19-Emergency-Response-Project.pdf"
},
{
"document_name": "060_Yemen-Emergency-COVID-19-Project",
"document_title": "Yemen - Emergency COVID-19 Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 21,
"mention_text": "data collected by the GHOs",
"corrected_name": "data collected by the GHOs",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used for standard reporting on services and supplies.",
"context_sentence": "38. For their respective activities, WHO will use data collected by the GHOs and other implementing partners (international and local NGOs) as per the standard reporting formats for all interventions at different levels on services and supplies. Databases for each are maintained at national, governorate, and lower levels.",
"pdf_url": "/pdfs/060_Yemen-Emergency-COVID-19-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 6,
"mention_text": "Disbursement-linked Indicators",
"corrected_name": "Disbursement-linked Indicators",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used to monitor project financing and performance indicators.",
"context_sentence": "**The World Bank** Formal Employment Creation Project (P171766) DATASHEET **BASIC INFORMATION** ~~BASIC~~ ~~INFO~~ ~~TABLE~~ Country(ies) Project Name Turkey Formal Employment Creation Project Environmental and Social Risk Project ID Financing Instrument Process Classification Investment Project P171766 Substantial Financing **Financing & Implementation Modalities** Urgent Need or Capacity Constraints (FCC) [ ] Multiphase Programmatic Approach (MPA) [ ] Contingent Emergency Response Component (CERC) [ ] Series of Projects (SOP) [ ] Fragile State(s) [ ] Disbursement-linked Indicators (DLIs) [ ] Small State(s) [✓] Financial Intermediaries (FI) [ ] Fragile within a non-fragile Country [ ] Project-Based Guarantee [ ] Conflict [ ] Deferred Drawdown [✓] Responding to Natural or Man-made Disaster [ ] Alternate Procurement Arrangements (APA) Expected Approval Date Expected Closing Date 31-Mar-2020 31-Dec-2024 Bank/IFC Collaboration No **Proposed Development Objective(s)** The project objective is to enhance the conditions for formal job creation by firms operating in provinces with high incidence of Syrians under Temporary Protection (SuTP), for the benefit of Turkish citizens and refugees. Page 1 of 86",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 16,
"mention_text": "World Bank Enterprise Survey",
"corrected_name": "World Bank Enterprise Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support claims about access to finance.",
"context_sentence": "** Credit service provision is less developed in many provinces where refugees live and work. According to the World Bank Enterprise Survey, most respondents (76 percent) in the affected regions assert that access to finance deteriorated loan terms and conditions (interest rates, maturity, and collateral requirements). [8] Poor access to longer-term financing limits enterprises from investing, increasing production capacity, and providing sustainable employment opportunities.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 16,
"mention_text": "Enterprise Surveys (database)",
"corrected_name": "Enterprise Surveys (database)",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a data source for context.",
"context_sentence": "Washington, DC: World Bank and World Food Programme. 8 Enterprise Surveys (database), International Finance Corporation and World Bank, Washington, DC, https://www. enterprisesurveys.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 16,
"mention_text": "Survey on the Access to Finance of Enterprises",
"corrected_name": "Survey on the Access to Finance of Enterprises",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a data source for context in the analysis.",
"context_sentence": "Washington, DC: World Bank. 12 World Bank 2014 and 2018 data of the Survey on the Access to Finance of Enterprises (database), European Central Bank, Frankfurt, https://www. ecb.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 17,
"mention_text": "data on more than 7 million job postings",
"corrected_name": "data on more than 7 million job postings",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical input for analyzing job market trends.",
"context_sentence": "** An inadequately educated labor force is perceived to be among the top five constraints to doing business in Turkey. The analysis of data on more than 7 million job postings at the public employment agency (İŞKUR) between 2016 and 2018 and from İŞKUR’s Labor Market Needs Assessment Survey and the top nine online job search portals shows that the most critical skills sought by employers across provinces are behavioral, socioemotional, and software-related skills. [14] 13 Enterprise Surveys (database), International Finance Corporation and World Bank, Washington, DC, https://www.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 30,
"mention_text": "statistics on formal employment creation",
"corrected_name": "statistics on formal employment creation",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Cited to support reporting on employment outcomes.",
"context_sentence": "Monitoring of core intermediate result indicators at the PFI level will enable the TKYB and the World Bank team to take action in case of a significant deviation for a specific PFI, which may affect the progress toward the PDO. Though, it is not included in the Results Framework, the PIU will also report the statistics on formal employment creation in the loan beneficiary firms. **C.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 30,
"mention_text": "citizen engagement survey",
"corrected_name": "citizen engagement survey",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Collecting feedback data from beneficiaries.",
"context_sentence": "**The World Bank** Formal Employment Creation Project (P171766) projects. A midterm and end line citizen engagement survey will be conducted by the TKYB to seek feedback from beneficiary firms on their satisfaction with the project. The PIU will discuss the survey results with PFIs and the results will inform project implementation, as appropriate.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 30,
"mention_text": "core intermediate result indicators",
"corrected_name": "core intermediate result indicators",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used for monitoring progress toward project objectives.",
"context_sentence": "The financial performance of the TKYB will be monitored through independent auditors’ reports and separate management letters confirming adherence to prudential norms. Monitoring of core intermediate result indicators at the PFI level will enable the TKYB and the World Bank team to take action in case of a significant deviation for a specific PFI, which may affect the progress toward the PDO. Though, it is not included in the Results Framework, the PIU will also report the statistics on formal employment creation in the loan beneficiary firms.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 34,
"mention_text": "project-run firm survey",
"corrected_name": "project-run firm survey",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Data source for measuring program spillover effects.",
"context_sentence": "**The effects of the implementation of sub-loans and subgrants will be measured by the World** **Bank both at the firm level and at the regional and sectoral level, including spillover effects. ** Potential spillovers of the program will be measured through the project-run firm survey (including also firms that are not direct beneficiaries) and by leveraging the richness of the Enterprise Information System (the database of all Turkish firms available at the Ministry of Industry and Technology), including information on the business networks of loan beneficiary firms, and the type and number of subsidiary firms. 73.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 34,
"mention_text": "database of all Turkish firms",
"corrected_name": "database of all Turkish firms",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Source of data for measuring spillover effects and firm characteristics.",
"context_sentence": "**The effects of the implementation of sub-loans and subgrants will be measured by the World** **Bank both at the firm level and at the regional and sectoral level, including spillover effects. ** Potential spillovers of the program will be measured through the project-run firm survey (including also firms that are not direct beneficiaries) and by leveraging the richness of the Enterprise Information System (the database of all Turkish firms available at the Ministry of Industry and Technology), including information on the business networks of loan beneficiary firms, and the type and number of subsidiary firms. 73.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 40,
"mention_text": "Satisfaction surveys",
"corrected_name": "satisfaction surveys",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Gathering feedback on subfinance effectiveness.",
"context_sentence": "** The TKYB will conduct a post-training assessment to measure the satisfaction and impact of the trainings, with the results being used by training providers to revise and improve the process in subsequent assessments. (iii) **Satisfaction surveys. ** The TKYB, in collaboration with PFIs, will conduct satisfaction surveys in the midterm and end term with the loan beneficiary firms regarding the subfinance received in terms of their needs.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 43,
"mention_text": "official records provided by SGK",
"corrected_name": "official records provided by SGK",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used for compliance monitoring and enforcement.",
"context_sentence": "To complement this structure, a governance body for the allocation of grants will be established. The monitoring and enforcement of the compliance with the conditionalities will rely on official records provided by SGK and a formal coordination agreement will be signed between the TKYB, SGK, and intermediaries. The World Bank team will closely monitor the compliance mechanisms to mitigate the risks and implement timely corrective action as needed.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 49,
"mention_text": "Skills measurement surveys",
"corrected_name": "Skills measurement surveys",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used to evaluate and measure skills of beneficiaries.",
"context_sentence": "**The World Bank** Formal Employment Creation Project (P171766) the project Number of formal jobs created by Grants Annual (disaggregated by gender) Number of formal jobs created in Annual SMEs (disaggregated by gender) Number of formal jobs created for women Increased management skills in loan Annual beneficiary firms Increased employee skills in grant Annual beneficiary firms **ME PDO Table SPACE** Progress reports Progress reports Progress reports Progress reports Declaration of firms verified by SGK Firm declaration verified by SGK Skills measurement surveys Skills measurement surveys **Monitoring & Evaluation Plan: Intermediate Results Indicators** **Methodology for Data** **Indicator Name** **Definition/Description** **Frequency** **Datasource** **Collection** TKYB TKYB TKYB and PFIs TKYB **Responsibility for Data** **Collection** TKYB and PFIs TKYB TKYB Page 44 of 86 Firm survey TKYB administrative data TKYB administrative data Progress reports Progress reports Progress reports Capital Stock of loan beneficiary firms Capital-output ratio will be calculated per firm (and cellbased) Annual Annual Number of firms receiving grants Number of women-inclusive firms Annual receiving grants",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 49,
"mention_text": "TKYB administrative data",
"corrected_name": "TKYB administrative data",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for evaluating project outcomes and indicators.",
"context_sentence": "**The World Bank** Formal Employment Creation Project (P171766) the project Number of formal jobs created by Grants Annual (disaggregated by gender) Number of formal jobs created in Annual SMEs (disaggregated by gender) Number of formal jobs created for women Increased management skills in loan Annual beneficiary firms Increased employee skills in grant Annual beneficiary firms **ME PDO Table SPACE** Progress reports Progress reports Progress reports Progress reports Declaration of firms verified by SGK Firm declaration verified by SGK Skills measurement surveys Skills measurement surveys **Monitoring & Evaluation Plan: Intermediate Results Indicators** **Methodology for Data** **Indicator Name** **Definition/Description** **Frequency** **Datasource** **Collection** TKYB TKYB TKYB and PFIs TKYB **Responsibility for Data** **Collection** TKYB and PFIs TKYB TKYB Page 44 of 86 Firm survey TKYB administrative data TKYB administrative data Progress reports Progress reports Progress reports Capital Stock of loan beneficiary firms Capital-output ratio will be calculated per firm (and cellbased) Annual Annual Number of firms receiving grants Number of women-inclusive firms Annual receiving grants",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 72,
"mention_text": "OECD.stat",
"corrected_name": "OECD.stat",
"specificity": "named",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Cited to support the claim about minimum wages in Turkey.",
"context_sentence": "2 per month, an amount very close to the national Minimum Wage. According to the OECD, the national Minimum Wages in Turkey equals to 70 percent of the median wage (see OECD. stat: https://stats.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 75,
"mention_text": "SGK administrative data",
"corrected_name": "SGK administrative data",
"specificity": "descriptive",
"downstream_impact_channel": "Resource Allocation",
"data_use_impact": "Used for verification of new hires.",
"context_sentence": "Grant beneficiary firms will have six months to hire new employees from the date of grant award. The first tranche will be disbursed only when the TKYB verifies the existence of new hires using SGK administrative data. The tranche will be weighted by the share of the actual new hires to the total new hires proposed in the business plan (for example, if a beneficiary firm reports that it will hire six new employees but hires three of them within first couple of months, then the firm will be awarded 50 percent of the grant amount).",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 75,
"mention_text": "official employment data from SGK",
"corrected_name": "official employment data from SGK",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Data source for monitoring compliance with conditionalities.",
"context_sentence": "**Monitoring compliance with the conditionalities. ** Monitoring of compliance with the conditionalities will rely on official employment data from SGK. To assess the compliance of grantbeneficiary firms with the formal employment creation and retention targets specified in the business plan at the moment of application (including the consent of the employers and employees to be taken in line with the requirements of the Law on Protection of Personal Data, Law no.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 83,
"mention_text": "enterprise surveys",
"corrected_name": "enterprise surveys",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual data for understanding firm experiences.",
"context_sentence": "**The World Bank** Formal Employment Creation Project (P171766) **ANNEX 4: Additional Sectoral Background** 1. The World Bank’s enterprise surveys have been collected to understand what firms experience in the private sector. It follows a global methodology and provides a wide range of business environment topics including access to finance indicators.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 84,
"mention_text": "Enterprise Survey",
"corrected_name": "Enterprise Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source of empirical data for regression analysis.",
"context_sentence": "05, * p<0. 1 _Source_ : Enterprise Survey, 2008, 2013–14, and 2015–16 _Note_ : Explanatory variables include firm size and age, firm’s ownership status, industry, region, and year. Control group for credit constraint status is FCC.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 85,
"mention_text": "Enterprise Survey",
"corrected_name": "Enterprise Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source of empirical data for regression analysis.",
"context_sentence": "05, * p<0. 1 _Source_ : Enterprise Survey, 2008, 2013–14, and 2015–16 _Note_ : Explanatory variables include firm size and age, firm’s ownership status, industry, region, and year. Control group for credit constraint status is FCC.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "061_Turkey-Formal-Employment-Creation-Project",
"document_title": "Turkey - Formal Employment Creation Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 86,
"mention_text": "World Bank’s Enterprise Survey",
"corrected_name": "World Bank’s Enterprise Survey",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as empirical evidence regarding SME credit availability.",
"context_sentence": "2014. “SME Credit Availability Around the World: Evidence from the World Bank’s Enterprise Survey. ” World Bank, Washington, DC.",
"pdf_url": "/pdfs/061_Turkey-Formal-Employment-Creation-Project.pdf"
},
{
"document_name": "062_Turkey-Municipal-Services-Improvement-Project",
"document_title": "Turkey - Municipal Services Improvement Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "TURKSTAT Municipal Wastewater Statistics",
"corrected_name": "TURKSTAT Municipal Wastewater Statistics",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence on sewage network coverage.",
"context_sentence": "**Similarly, while access to sewage networks is relatively high, a significant proportion of wastewater is discharged** **untreated into the environment. ** According to TURKSTAT Municipal Wastewater Statistics for 2016, 90 percent of the population living in municipalities are served with a sewage network. However, only 70 percent of the population is served with a wastewater treatment plant.",
"pdf_url": "/pdfs/062_Turkey-Municipal-Services-Improvement-Project.pdf"
},
{
"document_name": "062_Turkey-Municipal-Services-Improvement-Project",
"document_title": "Turkey - Municipal Services Improvement Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "Municipal Water\nStatistics prepared by TURKSTAT",
"corrected_name": "Municipal Water\nStatistics prepared by TURKSTAT",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Provides statistical evidence on water supply coverage and treatment.",
"context_sentence": "**While piped water coverage is relatively high in Turkey, more than 40 percent of water is distributed untreated,** **which increases risks linked to poor water quality, including to public health. ** According to Municipal Water Statistics prepared by TURKSTAT in 2018, 99 percent of the population living in municipalities has access to piped water supply, however only 60 percent are served by a water treatment plant. The municipalities targeted in this project face significant water supply service challenges, including poor quality water due to inadequate water treatment facilities.",
"pdf_url": "/pdfs/062_Turkey-Municipal-Services-Improvement-Project.pdf"
},
{
"document_name": "062_Turkey-Municipal-Services-Improvement-Project",
"document_title": "Turkey - Municipal Services Improvement Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 17,
"mention_text": "2018 EU\nNeeds Assessment",
"corrected_name": "2018 EU Needs Assessment",
"specificity": "named",
"downstream_impact_channel": "Resource Allocation",
"data_use_impact": "Used to identify municipalities for targeted support based on needs.",
"context_sentence": "**Given the strain that the refugee influx has generated on water, wastewater and solid waste services, grant** **financing has been extended in the amount of EUR 139,812,400** **[15]** **by the European Development Fund (EDF) under** **the Municipal Infrastructure Window of the FRiT and the ILBANK has requested an IBRD loan in the amount of EUR** **135,355,000 for a project to support municipal services improvements in several municipalities impacted by** **refugees. ** The targeted municipalities were selected from a list of ten affected areas identified through the 2018 EU Needs Assessment, based on criteria such as the number of refugees and the magnitude and scope of municipal infrastructure needs. At the time of appraisal, sub-projects in five municipalities: Adana, Kahramanmaraş, Osmaniye, Kayseri and Konya, were identified to participate in the project based on eligibility criteria described under Section III below (Project Description).",
"pdf_url": "/pdfs/062_Turkey-Municipal-Services-Improvement-Project.pdf"
},
{
"document_name": "062_Turkey-Municipal-Services-Improvement-Project",
"document_title": "Turkey - Municipal Services Improvement Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 70,
"mention_text": "water utility records",
"corrected_name": "water utility records",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Provides empirical evidence of service constraints and issues.",
"context_sentence": "** Osmaniye drinking water project will focus on the distribution network and will include construction of approximately 598 km water distribution network (pipe diameters changing from 110 to 900 mm), 5 water reservoirs, pressure release valves, DMAs and auxiliary infrastructure. These activities seek to address critical water supply service constraints faced by the municipalities in delivering effective and efficient services, including: (a) frequent pipe breakage and subsequent contamination of water due to severe corrosion of existing pipes (cast iron, asbestos cement), and high pressure fluctuations – water utility records show about 200 calls per month, with about 30 percent of these related to the main network and 60 percent to customer connections; and (b) non-revenue water is very high at 56 percent, of which 49 percent are real losses. 33.",
"pdf_url": "/pdfs/062_Turkey-Municipal-Services-Improvement-Project.pdf"
},
{
"document_name": "062_Turkey-Municipal-Services-Improvement-Project",
"document_title": "Turkey - Municipal Services Improvement Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 74,
"mention_text": "TURKSTAT data",
"corrected_name": "TURKSTAT data",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Provides statistical evidence for economic analysis.",
"context_sentence": "122. - Disposable income for new employment: According to the TURKSTAT data, Marginal Propensity to Save in January 2019 in Turkey is 19. 40 percent which means Marginal Propensity to Consume is 80,60 Page 69 of 94",
"pdf_url": "/pdfs/062_Turkey-Municipal-Services-Improvement-Project.pdf"
},
{
"document_name": "069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project",
"document_title": "Pakistan - Strengthening Institutions for Refugee Administration Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 3,
"mention_text": "National Database and Registration Authority",
"corrected_name": "National Database and Registration Authority",
"specificity": "named",
"downstream_impact_channel": "None",
"data_use_impact": "Cited as an organizational reference for data management.",
"context_sentence": "**ABBREVIATIONS AND ACRONYMS** |AGP|Auditor General of Pakistan| |---|---| |AGPR|Accountant General of Pakistan Revenue| |CAR|Commissionerate for Afghan Refugees| |CCAR|Chief Commissionerate for Afghan Refugees| |CPS|Country Partnership Strategy| |DA|Designated Account| |DLI|Disbursement-Linked Indicator| |DLR|Disbursement-Linked Result| |EEP|Eligible Expenditure Program| |EZ-KAR|Eshteghal Zaiee-Karmondenda| |FM|Financial Management| |FMIS|Financial Management Information System| |FMS|Financial Management Specialist| |FY|Fiscal Year| |GIZ|Deutsche Gesellschaft für Internationale Zusammenarbeit| |GoP|Government of Pakistan| |IDA|International Development Association| |IMSC|Inter-Ministerial Steering Committee| |IPSAS|International Public Sector Accounting Standards| |IUFR|Interim Unaudited Financial Report| |KP|Khyber Pakhtunkhwa| |M&E|Monitoring and Evaluation| |MIS|Management Information System| |NADRA|National Database and Registration Authority| |OSU|Operations Support Unit| |PC|Project Coordinator| |PDO|Project Development Objectives| |PoR|Proof of Registration| |PSDP|Public Sector Development Program| |RAHA|Refugee-Affected and Hosting Areas| |RMP|Repatriation and Management Policy for Afghan Refugees| |RSW|Refugee Sub-Window| |SDR|Special Drawing Rights| |SAFRON|States and Frontier Regions| |SOP|Standard operating procedures| |SSAR|Solutions Strategy for Afghan Refugees| |TOR|Terms of Reference| |UNHCR|United Nations High Commissioner for Refugees| |USD|United States Dollar| |VFC|Visa Facilitation Centers| |WB|World Bank|",
"pdf_url": "/pdfs/069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project.pdf"
},
{
"document_name": "069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project",
"document_title": "Pakistan - Strengthening Institutions for Refugee Administration Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "Afghan National Registration Database",
"corrected_name": "Afghan National Registration Database",
"specificity": "named",
"downstream_impact_channel": "None",
"data_use_impact": "Cited as a data source for context.",
"context_sentence": "2019. Afghan National Registration Database (Sept. 30).",
"pdf_url": "/pdfs/069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project.pdf"
},
{
"document_name": "069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project",
"document_title": "Pakistan - Strengthening Institutions for Refugee Administration Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 14,
"mention_text": "socio economic characteristics of refugees and host communities",
"corrected_name": "socio economic characteristics of refugees and host communities",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual information for understanding refugee and host community dynamics.",
"context_sentence": "- **PDO Indicator 4** : Host community and refugee complaints resolved through the complaints handling mechanisms within 45 days of reporting (Percent). - **PDO indicator 5:** Data on socio economic characteristics of refugees and host communities published regularly by CCAR. **B.",
"pdf_url": "/pdfs/069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project.pdf"
},
{
"document_name": "069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project",
"document_title": "Pakistan - Strengthening Institutions for Refugee Administration Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 31,
"mention_text": "MIS database",
"corrected_name": "MIS database",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for monitoring refugee information management.",
"context_sentence": "
|This indicator tracks the
collection and publication of
data on socio-economic
characteristics of refugees
and host communities. |Annual
|The CCAR will
provide
information
on the
number of
surveys
conducted
with
evidence of
data
collected
|Completion reports
providing summary
statistics
|CCAR
| **ME PDO Table SPACE** |Monitoring & Evaluation Plan: Intermediate Results Indicators|Col2|Col3|Col4|Col5|Col6| |---|---|---|---|---|---| |**Indicator Name **|**Definition/Description **|**Frequency **|**Datasource **|**Methodology for Data**
**Collection **|**Responsibility for Data**
**Collection **| |Strengthened mechanism for
management of information across
participating entities|This indicator measures the
availability of data on
refugees through a
functional Management|Semi-
annual
|MIS database
|Collecting data from
the MIS
|CCAR
| 22",
"pdf_url": "/pdfs/069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project.pdf"
},
{
"document_name": "069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project",
"document_title": "Pakistan - Strengthening Institutions for Refugee Administration Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 40,
"mention_text": "fourth survey of socio-economic",
"corrected_name": "fourth survey of socio-economic characteristics of refugees and refugee hosting communities",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual reference to a completed survey dataset.",
"context_sentence": "|#4. (i) the fourth survey of socio-economic
characteristics of refugees and refugee hosting
communities has been completed;(ii) CCAR has
published the data of the fourth survey of socio-
economic characteristics of refugees and refugee
hosting communities. |1,000,000.",
"pdf_url": "/pdfs/069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project.pdf"
},
{
"document_name": "069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project",
"document_title": "Pakistan - Strengthening Institutions for Refugee Administration Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 41,
"mention_text": "refugee database",
"corrected_name": "refugee database",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Access to data for improving visa policy implementation.",
"context_sentence": "Disbursements
prorated per each outreach s| |FY 23/24|#3. NADRA has provided access to the registered
refugee database to the CCAR to improve
functionality for implementation of the visa
policy. |2,000,000.",
"pdf_url": "/pdfs/069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project.pdf"
},
{
"document_name": "069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project",
"document_title": "Pakistan - Strengthening Institutions for Refugee Administration Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 43,
"mention_text": "socio-economic characteristics of refugees and refugee hosting communities",
"corrected_name": "socio-economic characteristics of refugees and refugee hosting communities",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Tracking and maintaining a database on socio-economic data for refugees and host communities.",
"context_sentence": "**The World Bank** Strengthening Institutions for Refugee Administration Project (P165542) |Data source/ Agency|CCAR| |---|---| |**Verification Entity**|Third Party Verification Agent| |**Procedure **
|The TPVA will review evidence in support of every Disbursement Linked Results based on evidence provided by the CCAR to
confirm progress on each DLR per year.
| |
**DLI 6**|
Data on socio-economic characteristics of refugees and refugee hosting communities published regularly| |**Description**|This DLI tracks the GoP's effort to create systems for collecting and maintaining a database on socio economic
characteristics of refugees and host communities. | |**Data source/ Agency**|CCAR/CARs| |**Verification Entity**|Third Party Verification Agent| |**Procedure **
|Review of each of the available evidence provided by CCAR for each of the DLR.",
"pdf_url": "/pdfs/069_Pakistan-Strengthening-Institutions-for-Refugee-Administration-Project.pdf"
},
{
"document_name": "06e584f33bd5a7c8f5d53001e2cd09f6c4e77019",
"document_title": "Developing value : the business case for sustainability in emerging markets",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 5,
"mention_text": "Ethiopian Social Accounting Matrix",
"corrected_name": "Ethiopian Social Accounting Matrix",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited as a basis for calculations regarding carbon pricing impact.",
"context_sentence": "6 **Public administration, education, health, and other services** 12. 7 Source: Authors’ calculation based on the 2010/11 Ethiopian Social Accounting Matrix. The incidence of carbon price on households depends on the carbon content of their consumption, among other factors.",
"pdf_url": "/pdfs/06e584f33bd5a7c8f5d53001e2cd09f6c4e77019.pdf"
},
{
"document_name": "06e584f33bd5a7c8f5d53001e2cd09f6c4e77019",
"document_title": "Developing value : the business case for sustainability in emerging markets",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 6,
"mention_text": "Ethiopian Social Accounting Matrix",
"corrected_name": "Ethiopian Social Accounting Matrix",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a basis for calculations in the analysis.",
"context_sentence": "( **a** ) Carbon intensity of consumption: fuel not including kerosene; ( **b** ) Carbon intensity of consumption: fuel including kerosene. Source: Authors’ calculation based on the 2010/11 Ethiopian Social Accounting Matrix. **3.",
"pdf_url": "/pdfs/06e584f33bd5a7c8f5d53001e2cd09f6c4e77019.pdf"
},
{
"document_name": "074_Djibouti-Integrated-Cash-Transfer-and-Human-Capital-Project",
"document_title": "Djibouti - Integrated Cash Transfer and Human Capital Project : Additional Financing",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 11,
"mention_text": "Human\nDevelopment Index (HDI)",
"corrected_name": "Human Development Index (HDI)",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support the ranking of Djibouti's development status.",
"context_sentence": "**especially for young children that represent the country’s future** . Djibouti ranks 172 out of 188 in the Human Development Index (HDI), while data are not available to produce a ranking for Djibouti in the new Human Capital Index. The most urgent priority for human capital development is for the youngest children, given that a large body of scientific and economic research has shown that the early years of a child's life are critical for development of cognitive, physical, and socioemotional skills, and that high-quality investments in the early years can have returns that surpass investments in primary or secondary education.",
"pdf_url": "/pdfs/074_Djibouti-Integrated-Cash-Transfer-and-Human-Capital-Project.pdf"
},
{
"document_name": "074_Djibouti-Integrated-Cash-Transfer-and-Human-Capital-Project",
"document_title": "Djibouti - Integrated Cash Transfer and Human Capital Project : Additional Financing",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 40,
"mention_text": "demographic and socio-economic data",
"corrected_name": "demographic and socio-economic data",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Data collection for program implementation.",
"context_sentence": "- **Registration and eligibility check** : Second, all pre-listed households will be registered as applicants for the PNSF program. The program will collect demographic and socio-economic data (‘ _enquête sociale_ ’) for registered households using off-line tablets. Registered households whose score is above a PMT threshold to be defined in the POM will be considered ineligible.",
"pdf_url": "/pdfs/074_Djibouti-Integrated-Cash-Transfer-and-Human-Capital-Project.pdf"
},
{
"document_name": "076_20200113_cimp_thematic_02_hudaydah_ceasefire",
"document_title": "CIVILIAN IMPACT MONITORING PROJECT",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "Civilian Impact Monitoring Project",
"corrected_name": "Civilian Impact Monitoring Project",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Provides data for protection programming and decision-making.",
"context_sentence": "The 2 infrastructure types to have seen an increase in the past 12 months were education and food, explained in case study 1, to the left. The Civilian Impact Monitoring Project is a service under the United Nations Protection Cluster for the collection, analysis and dissemination of open source data on the civilian impact from armed violence in Yemen, to inform and complement protection programming. For further information, please visit www.",
"pdf_url": "/pdfs/076_20200113_cimp_thematic_02_hudaydah_ceasefire.pdf"
},
{
"document_name": "078_20200715_cimp_thematic_03_dwellings",
"document_title": "■ Casualties from incidents impacting civilian houses ■ Casualties from incidents away from civilian houses",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "Civilian Impact Monitoring Project",
"corrected_name": "Civilian Impact Monitoring Project",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Provides data for protection programming and operational decision-making.",
"context_sentence": "By comparison, just 8 (15%) of the 54 gender-unspecified casualties were fatalities. **Gender-** **unspecified** **Women and** **children** **46** **8** **46** **26** **0** **10** **20** **30** **40** **50** **60** **70** **Injuries** **Fatalities** The Civilian Impact Monitoring Project is a service under the Protection Cluster for the collection, analysis and dissemination of open source data on the civilian impact from armed violence in Yemen, to inform and complement protection programming. For more information, please visit www.",
"pdf_url": "/pdfs/078_20200715_cimp_thematic_03_dwellings.pdf"
},
{
"document_name": "082_PAD2809-PAD-PUBLIC-disclosed-9-12-2018-IDA-R2018-0286-1",
"document_title": "Chad - AFRICA- P164748- Chad - Refugees and Host Communities Support Project - Procurement Plan",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 37,
"mention_text": "central MIS and database",
"corrected_name": "central MIS and database",
"specificity": "vague",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Used for recording and managing financial transactions.",
"context_sentence": "**For the proposed project, CFS will hire an additional accountant to be based in** **N’djamena. ** She or he will perform day-to-day accounting activities and record transactions in the central MIS and database. In the new regional offices, assistant accountants will be hired to perform day-to-day financial transactions.",
"pdf_url": "/pdfs/082_PAD2809-PAD-PUBLIC-disclosed-9-12-2018-IDA-R2018-0286-1.pdf"
},
{
"document_name": "082_PAD2809-PAD-PUBLIC-disclosed-9-12-2018-IDA-R2018-0286-1",
"document_title": "Chad - AFRICA- P164748- Chad - Refugees and Host Communities Support Project - Procurement Plan",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 41,
"mention_text": "Systematic Operations Rating Tool",
"corrected_name": "Systematic Operations Rating Tool",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Cited as a framework for defining project risks.",
"context_sentence": "**The overall risk of the project is** _**High**_ **. ** The specific project risks as defined in the Systematic Operations Rating Tool (SORT) are outlined in the following section. 88.",
"pdf_url": "/pdfs/082_PAD2809-PAD-PUBLIC-disclosed-9-12-2018-IDA-R2018-0286-1.pdf"
},
{
"document_name": "082_PAD2809-PAD-PUBLIC-disclosed-9-12-2018-IDA-R2018-0286-1",
"document_title": "Chad - AFRICA- P164748- Chad - Refugees and Host Communities Support Project - Procurement Plan",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 58,
"mention_text": "representative surveys",
"corrected_name": "representative surveys",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual reference for data collection methodology.",
"context_sentence": "**The World Bank** Chad - Refugees and Host Communities Support Project (P164748) |for Performance Based Financing|Col2|Col3|Health|by region on level of
utilization of the
standard forms
Performance Based
Financing introduced by
the P148052 Mother
and Child Health
Services Strengthening
Project. Information is
based on
representative surveys. |Col6| |---|---|---|---|---|---| |Cash transfer beneficiaries (households)||Quarterly
|Baseline data
collected
from UNHCR
and WFP on
number
of refugees
receiving
cash
transfers in
target areas.",
"pdf_url": "/pdfs/082_PAD2809-PAD-PUBLIC-disclosed-9-12-2018-IDA-R2018-0286-1.pdf"
},
{
"document_name": "082_PAD2809-PAD-PUBLIC-disclosed-9-12-2018-IDA-R2018-0286-1",
"document_title": "Chad - AFRICA- P164748- Chad - Refugees and Host Communities Support Project - Procurement Plan",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 83,
"mention_text": "world population census data",
"corrected_name": "world population census data",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source of empirical data for generating population estimates.",
"context_sentence": "For this project, preliminary work has been done to determine the host population around selected camps using remote sensing imaging analysis. To generate population estimates, the analysis uses world population census data and statistical modeling based on the relationship between populations and physical socioeconomic characteristics such as land uses, dwelling units and image pixel characteristics. 2.",
"pdf_url": "/pdfs/082_PAD2809-PAD-PUBLIC-disclosed-9-12-2018-IDA-R2018-0286-1.pdf"
},
{
"document_name": "082_PAD2809-PAD-PUBLIC-disclosed-9-12-2018-IDA-R2018-0286-1",
"document_title": "Chad - AFRICA- P164748- Chad - Refugees and Host Communities Support Project - Procurement Plan",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 83,
"mention_text": "world population data",
"corrected_name": "world population data",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual reference for data availability.",
"context_sentence": "The figure shows the population layer within 25 km of selected camps, and the table shows population estimates at 50 km, 25 km, 15 km, 10 km and 5 km from the camps. Since village boundary information for Chad is not available in world population data, satellite imagery and estimates of average village size from the most recent census will be used to approximate the number of host villages around each camp. **Population Layer within 25 km of Selected Camps in the East, South, and Lake Chad** **Regions** Source: World Bank Geospatial Operations Support Team (GOST).",
"pdf_url": "/pdfs/082_PAD2809-PAD-PUBLIC-disclosed-9-12-2018-IDA-R2018-0286-1.pdf"
},
{
"document_name": "088_UGANDA-PAD-04272018",
"document_title": "Uganda - Support to Municipal Infrastructure Development Program Project : additional financing",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 11,
"mention_text": "Data from UNHCR",
"corrected_name": "UNHCR data",
"specificity": "vague",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited to support claims about district populations.",
"context_sentence": "It is therefore critical to find ways to transition from humanitarian to development responses in Uganda and move from parallel to integrated service provision. --- [13] Data from UNHCR shows that as of December 17, 2017, the districts of Arua, Yumbe, Moyo, Adjumani and Lamwo host a total",
"pdf_url": "/pdfs/088_UGANDA-PAD-04272018.pdf"
},
{
"document_name": "088_UGANDA-PAD-04272018",
"document_title": "Uganda - Support to Municipal Infrastructure Development Program Project : additional financing",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 17,
"mention_text": "World Bank Enterprise Survey Data for Uganda",
"corrected_name": "World Bank Enterprise Survey Data for Uganda",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support claims about constraints faced by enterprises.",
"context_sentence": "Local firms in the formal sector face considerable constraints in establishing and sustaining their businesses, limiting prospects for the creation of more and better jobs. For example, according to World Bank Enterprise Survey Data for Uganda (2013), the main constraints include infrastructure deficits and access to land; regulatory barriers and corruption; and access to finance [20] . LGs have a role in helping or hindering the alleviation of these constraints to support private sector development and, consequently, job creation.",
"pdf_url": "/pdfs/088_UGANDA-PAD-04272018.pdf"
},
{
"document_name": "088_UGANDA-PAD-04272018",
"document_title": "Uganda - Support to Municipal Infrastructure Development Program Project : additional financing",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 37,
"mention_text": "Municipal reports",
"corrected_name": "Municipal reports",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for tracking municipal performance indicators.",
"context_sentence": "**Municipal** r**oads built
or rehabilitated with
related infrastructure
using urban LDG|√|3|Km
Targets|53. 02|Measured
Annually|Measured
Annually|Measured
Annually|Measured
Annually|Measured
Annually|Annually|Municipal reports|Participating
municipalities;
MoLHUD| |**4. **Municipal** r**oads built
or rehabilitated with
related infrastructure
using urban LDG|√|3|Actuals|||||||||| |**5.",
"pdf_url": "/pdfs/088_UGANDA-PAD-04272018.pdf"
},
{
"document_name": "0a42a3f1c22fed68d75a69de9feedd17ba1f2280",
"document_title": "On the Effects of Enforcement on Illegal Markets: Evidence from a Quasi-Experiment in Colombia*",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "satellite data on coca cultivation",
"corrected_name": "satellite data on coca cultivation",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support observations regarding coca cultivation patterns.",
"context_sentence": "The strength of our empirical exercise relies not only on our identification strategy but also on the precision of our data on illicit crop cultivation and enforcement activities. In particular, we observe satellite data on coca cultivation in small 1-square-km cells and information on the exact location of aerial spraying campaigns, closely monitored by the army and police using GPS devices that are built in the aircraft used in the aerial spraying program in Colombia. Consistent with the previous findings on the literature, our results suggest that farmers respond to a greater likelihood of enforcement in an area by reducing illicit coca cultivation there, but we show that the effects are too small to make the spraying program a cost-effective policy to reduce cocaine supply.",
"pdf_url": "/pdfs/0a42a3f1c22fed68d75a69de9feedd17ba1f2280.pdf"
},
{
"document_name": "0a42a3f1c22fed68d75a69de9feedd17ba1f2280",
"document_title": "On the Effects of Enforcement on Illegal Markets: Evidence from a Quasi-Experiment in Colombia*",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 5,
"mention_text": "departmental data from Colombia",
"corrected_name": "departmental data from Colombia",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support findings of correlation between spraying and coca crops.",
"context_sentence": "For example, Moreno-Sanchez et al. (2003) and Dion and Russler (2008) use departmental data from Colombia and find a positive correlation between the levels of spraying and the presence of coca crops. However, these results are likely to be driven by simultaneity bias in their estimates.",
"pdf_url": "/pdfs/0a42a3f1c22fed68d75a69de9feedd17ba1f2280.pdf"
},
{
"document_name": "0a42a3f1c22fed68d75a69de9feedd17ba1f2280",
"document_title": "On the Effects of Enforcement on Illegal Markets: Evidence from a Quasi-Experiment in Colombia*",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 9,
"mention_text": "data on cultivation",
"corrected_name": "data on cultivation",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support the observation of decline in cultivation area.",
"context_sentence": "578 Mej�ıa, Restrepo, and Rozo The data on cultivation reveals a sharp decline from 2000 to 2004, during the first years of Plan Colombia, from about 3 hectares per square kilometer to about 0. 6.",
"pdf_url": "/pdfs/0a42a3f1c22fed68d75a69de9feedd17ba1f2280.pdf"
},
{
"document_name": "0cf1e4d917c72425799848d588e618bb62107951",
"document_title": "The Economics of Sustainability : Causes and Consequences of Energy Market Transformation",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 6,
"mention_text": "PATSTAT database",
"corrected_name": "PATSTAT database",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source of empirical data for calculations on patents.",
"context_sentence": "5 1 0. 5 0 Source: Aghion, Dechezlepretre, Hemous, Martin and Van Reenen (2012), calculations based on the PATSTAT database. 4",
"pdf_url": "/pdfs/0cf1e4d917c72425799848d588e618bb62107951.pdf"
},
{
"document_name": "100_Lebanon-Health-PAD-PAD2358-06152017",
"document_title": "مشروع تعزيز النظام الصحي في لبنان",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "health sector indicators",
"corrected_name": "health sector indicators",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual information regarding health system performance.",
"context_sentence": "10. **Despite the considerable resilience of Lebanon’s health system, the health sector indicators**",
"pdf_url": "/pdfs/100_Lebanon-Health-PAD-PAD2358-06152017.pdf"
},
{
"document_name": "100_Lebanon-Health-PAD-PAD2358-06152017",
"document_title": "مشروع تعزيز النظام الصحي في لبنان",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "MoPH hospital data",
"corrected_name": "MoPH hospital data",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Cited to support findings on neonatal and maternal mortality.",
"context_sentence": "The gains that Lebanon made in meeting the Millennium Development Goals (MDGs) before the Syrian crisis are rapidly declining. The latest MoPH hospital data show significant setbacks in neonatal and maternal mortality indicators (this excludes deliveries outside the hospitals). As of 2017, the data indicate that the neonatal mortality rate has increased from 3.",
"pdf_url": "/pdfs/100_Lebanon-Health-PAD-PAD2358-06152017.pdf"
},
{
"document_name": "100_Lebanon-Health-PAD-PAD2358-06152017",
"document_title": "مشروع تعزيز النظام الصحي في لبنان",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 17,
"mention_text": "PHCC accreditation program",
"corrected_name": "PHCC accreditation program",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Monitoring quality of care standards.",
"context_sentence": "**Quality of Care** Quality of care is monitored through the PHCC accreditation program implemented by the MoPH in collaboration with Accreditation Canada International. Currently, all 75 PHCCs are within the accreditation program.",
"pdf_url": "/pdfs/100_Lebanon-Health-PAD-PAD2358-06152017.pdf"
},
{
"document_name": "100_Lebanon-Health-PAD-PAD2358-06152017",
"document_title": "مشروع تعزيز النظام الصحي في لبنان",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 29,
"mention_text": "hospital claims",
"corrected_name": "hospital claims",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used as a reference for data verification through triangulation.",
"context_sentence": "Data will be collected and used to: (i) supervise the performance of PHCCs; (ii) monitor the progress of beneficiary accessibility; (iii) monitor hospital improvements; and (iv) improve the provision of services on the basis of intermediate output and outcome data. The data will be verified directly by MoPH supervisory systems and external evaluation, and indirectly through triangulation with other data sources such as hospital claims.",
"pdf_url": "/pdfs/100_Lebanon-Health-PAD-PAD2358-06152017.pdf"
},
{
"document_name": "100_Lebanon-Health-PAD-PAD2358-06152017",
"document_title": "مشروع تعزيز النظام الصحي في لبنان",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 46,
"mention_text": "Client satisfaction survey",
"corrected_name": "Client satisfaction survey",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used to measure and monitor user satisfaction with health services.",
"context_sentence": "00|75. 00|Annual
|Client satisfaction survey
|PMU
| |Description:Share of users satisfied by the received health care services|Description:Share of users satisfied by the received health care services|Description:Share of users satisfied by the received health care services|Description:Share of users satisfied by the received health care services|Description:Share of users satisfied by the received health care services|Description:Share of users satisfied by the received health care services|Description:Share of users satisfied by the received health care services|Description:Share of users satisfied by the received health care services| ||||||||| |**Name:**Grievances registered
related to delivery of project
benefits addressed||Percentage|40. 00|75.",
"pdf_url": "/pdfs/100_Lebanon-Health-PAD-PAD2358-06152017.pdf"
},
{
"document_name": "100_Lebanon-Health-PAD-PAD2358-06152017",
"document_title": "مشروع تعزيز النظام الصحي في لبنان",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 46,
"mention_text": "Grievance database",
"corrected_name": "Grievance database",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Source of data for monitoring grievance resolution.",
"context_sentence": "00|75. 00|Bi-annual
|Grievance database
|PMU
| |Description:Percentage of grievances registered related to the delivery of project benefits that were addressed|Description:Percentage of grievances registered related to the delivery of project benefits that were addressed|Description:Percentage of grievances registered related to the delivery of project benefits that were addressed|Description:Percentage of grievances registered related to the delivery of project benefits that were addressed|Description:Percentage of grievances registered related to the delivery of project benefits that were addressed|Description:Percentage of grievances registered related to the delivery of project benefits that were addressed|Description:Percentage of grievances registered related to the delivery of project benefits that were addressed|Description:Percentage of grievances registered related to the delivery of project benefits that were addressed| ||||||||| |**Name:**Hospital Assessment
carried out||Text|NA|Assessment
completed|Once
|MoPH
|MoPH/PMU
| |Description:Hospital Assessment carried out|Description:Hospital Assessment carried out|Description:Hospital Assessment carried out|Description:Hospital Assessment carried out|Description:Hospital Assessment carried out|Description:Hospital Assessment carried out|Description:Hospital Assessment carried out|Description:Hospital Assessment carried out| |
|
|
|
|
|
|
|
|",
"pdf_url": "/pdfs/100_Lebanon-Health-PAD-PAD2358-06152017.pdf"
},
{
"document_name": "107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016",
"document_title": "P160567 - CCAP - AR",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 3,
"mention_text": "AFMIS Afghanistan Financial Management Information System",
"corrected_name": "AFMIS Afghanistan Financial Management Information System",
"specificity": "named",
"downstream_impact_channel": "None",
"data_use_impact": "",
"context_sentence": "ABBREVIATIONS AND ACRONYMS AFN Afghanistan Afghani (Afghanistan currency) AFMIS Afghanistan Financial Management Information System ARTF Afghanistan Reconstruction Trust Fund CBR Capacity Building for Results CCDC Cluster Community Development Council CCAP Citizens’ Charter Afghanistan Project CDC Community Development Council CDD Community Driven Development CDP Community Development Plan CPF Country Partnership Framework CPM Community Participatory Monitoring DAB Da Afghanistan Bank DG Director General DMM Deputy Minister of Municipalities DRR Disaster Risk Reduction EC Environmental Clearance ERR Economic Rate of Return ESMF Environmental and Social Management Framework ESMP Environmental and Social Management Plan ESSU Environmental and Social Safeguards Unit FP Facilitating Partner FMA Financial Management Agent GA _Gozar_ Assembly GRS Grievance Redress System or Service HQ Headquarters IA Implementing Agency IBRD International Bank for Reconstruction and Development",
"pdf_url": "/pdfs/107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016.pdf"
},
{
"document_name": "107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016",
"document_title": "P160567 - CCAP - AR",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 20,
"mention_text": "2013-2014 Afghanistan Living Conditions Survey",
"corrected_name": "2013-2014 Afghanistan Living Conditions Survey",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited for statistical estimates of urban population living conditions.",
"context_sentence": "The population of Afghan cities is expected to double within the next 15 years and by 2060, one in every two Afghans will be living in cities. [8] The 2013-2014 Afghanistan Living Conditions Survey estimates that 74 percent of the urban population lives in slums. Informal settlements in major cities are growing while the number of poor – an estimated 29 percent of the urban population – do not have access to basic services.",
"pdf_url": "/pdfs/107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016.pdf"
},
{
"document_name": "107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016",
"document_title": "P160567 - CCAP - AR",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 37,
"mention_text": "satellite imagery data",
"corrected_name": "satellite imagery data",
"specificity": "vague",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Used to verify infrastructure assets and gaps.",
"context_sentence": "** The third party monitors will provide critical data and a level of additional evidence from the field to complement the government monitoring systems and Bank missions. CCAP will make use of their reviews of infrastructure quality as well as their satellite imagery data in order to verify infrastructure assets and gaps based upon the initial needs assessment. The third party monitors will also review the achievement of the service standards, social inclusion dimensions, and CDC organizational maturity.",
"pdf_url": "/pdfs/107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016.pdf"
},
{
"document_name": "107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016",
"document_title": "P160567 - CCAP - AR",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 40,
"mention_text": "2015 corruption perceptions index",
"corrected_name": "2015 corruption perceptions index",
"specificity": "named",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited to support the claim about corruption rankings.",
"context_sentence": "**implementation. ** Afghanistan ranks as the third most corrupt country in the world in Transparency International’s 2015 corruption perceptions index. Sub-national institutions are particularly weak so independent monitoring by third parties, national level oversight, strong M&E systems, transparent project information, and grievance redress mechanisms will be critical.",
"pdf_url": "/pdfs/107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016.pdf"
},
{
"document_name": "107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016",
"document_title": "P160567 - CCAP - AR",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 52,
"mention_text": "Citizens' Charter Afghanistan Project",
"corrected_name": "Citizens' Charter Afghanistan Project",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Contextual reference for monitoring indicators related to the project.",
"context_sentence": "**The World Bank** Citizens' Charter Afghanistan Project (P160567) |Intermediate Level
Results Indicators|Core|Col3|Unit of
Measure|Col5|Baseline|End Target|Col8|Frequency|Data Source /
Methodology|Responsibility for
Data Collection| |---|---|---|---|---|---|---|---|---|---|---| |
**Name:**% of sampled
community respondents
(male/female) (satisfied with
subproject/grant
investments||Percentage|Percentage|0. 00|0.",
"pdf_url": "/pdfs/107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016.pdf"
},
{
"document_name": "107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016",
"document_title": "P160567 - CCAP - AR",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 61,
"mention_text": "satellite imagery",
"corrected_name": "satellite imagery",
"specificity": "vague",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used as a validation source for community monitoring reports.",
"context_sentence": "Second, the project will innovate and use the satellite imagery of the existing ARTF third party monitoring activity to validate infrastructure gaps and service delivery outputs. For example, the presence of schools and irrigation canals in a sample number of areas will be validated through satellite imagery against community monitoring reports. Lastly, this component will support ways to strengthen a coordinated approach across line ministries’ monitoring and evaluation mechanisms including at the community, district and provincial levels, within government, and with third party monitors.",
"pdf_url": "/pdfs/107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016.pdf"
},
{
"document_name": "107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016",
"document_title": "P160567 - CCAP - AR",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 122,
"mention_text": "satellite imagery data",
"corrected_name": "satellite imagery data",
"specificity": "vague",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Used to verify infrastructure assets and gaps.",
"context_sentence": "** The third party monitors will provide critical data and a level of additional evidence from the field to complement the government monitoring systems and Bank missions. CCAP will make use of their reviews of infrastructure quality as well as their satellite imagery data in order to verify infrastructure assets and gaps based upon the initial needs assessment. The third party monitors will also review the achievement of the service standards, social inclusion dimensions, and CDC organizational maturity.",
"pdf_url": "/pdfs/107_PAD-Citizens-Charter-Afghanistan-P160567-Oct-7-Board-version-10072016.pdf"
},
{
"document_name": "112_IDAR2016-0221-PAD-09012016",
"document_title": "الضفة الغربية وقطاع غزة - المدن المتكاملة ومشروع التنمية الحضرية",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 3,
"mention_text": "PGMIS Program Management Information System",
"corrected_name": "PGMIS Program Management Information System",
"specificity": "named",
"downstream_impact_channel": "None",
"data_use_impact": "",
"context_sentence": "MoLG Ministry of Local Government MoPWH Ministry of Public Works and Housing MoU Memorandum of Understanding NDP National Development Plan PA Palestinian Authority PAD Project Appraisal Document PDO Project Development Objective PforR Program for Results PNGO Palestinian NGO Project POM Project Operational Manual PP Procurement Plan PPP Public-Private Partnership PGMIS Program Management Information System RAB Ramallah-Al Bireh-Bitounia RBMM Results-Based Monitoring Manual RFP Request for Proposals RPF Resettlement Policy Framework SDIP Strategic Development and Investment Planning SSWMP Southern West Bank Solid Waste Management Project SWMP Solid Waste Management Project TA Technical Assistance ToR Terms of Reference TFGWB Trust Fund for Gaza and West Bank TS Technical Supervisor UR Urbanization Review VC Village Council VLD Voluntary land donation VNDP Village and Neighborhood Development Project WB&G West Bank and Gaza WB World Bank WBG World Bank Group Regional Vice President: Hafez M. H.",
"pdf_url": "/pdfs/112_IDAR2016-0221-PAD-09012016.pdf"
},
{
"document_name": "112_IDAR2016-0221-PAD-09012016",
"document_title": "الضفة الغربية وقطاع غزة - المدن المتكاملة ومشروع التنمية الحضرية",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "Village and Neighborhood Development Project (VNDP)",
"corrected_name": "Village and Neighborhood Development Project (VNDP)",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Supports marginalized communities through a specific development approach.",
"context_sentence": "The Municipal Development Program (MDP), at the center of the Bank’s LG sector support, has been following a programmatic approach that was complemented by a number of stand-alone interventions. These include: the Village and Neighborhood Development Project (VNDP) to support marginalized communities through a Community Driven Development approach; the Palestinian NGO Project (PNGO) to provide assistance to civil society and basic social service delivery; Southern Solid Waste Management projects (SSWMP) in the West Bank and the Gaza Solid Waste Management Project (SWMP) to establish and support the operation of sanitary landfills; and the Second Land Administration Project (LAP-2) to improve land administration in a pilot area. Those projects have either already closed (VNDP); or scheduled to close in the near future (PNGO and SSWMP); or have already been cancelled because of limited results (LAP-2).",
"pdf_url": "/pdfs/112_IDAR2016-0221-PAD-09012016.pdf"
},
{
"document_name": "112_IDAR2016-0221-PAD-09012016",
"document_title": "الضفة الغربية وقطاع غزة - المدن المتكاملة ومشروع التنمية الحضرية",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "Southern Solid Waste Management projects (SSWMP)",
"corrected_name": "Southern Solid Waste Management projects (SSWMP)",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Supports the establishment and operation of sanitary landfills.",
"context_sentence": "The Municipal Development Program (MDP), at the center of the Bank’s LG sector support, has been following a programmatic approach that was complemented by a number of stand-alone interventions. These include: the Village and Neighborhood Development Project (VNDP) to support marginalized communities through a Community Driven Development approach; the Palestinian NGO Project (PNGO) to provide assistance to civil society and basic social service delivery; Southern Solid Waste Management projects (SSWMP) in the West Bank and the Gaza Solid Waste Management Project (SWMP) to establish and support the operation of sanitary landfills; and the Second Land Administration Project (LAP-2) to improve land administration in a pilot area. Those projects have either already closed (VNDP); or scheduled to close in the near future (PNGO and SSWMP); or have already been cancelled because of limited results (LAP-2).",
"pdf_url": "/pdfs/112_IDAR2016-0221-PAD-09012016.pdf"
},
{
"document_name": "112_IDAR2016-0221-PAD-09012016",
"document_title": "الضفة الغربية وقطاع غزة - المدن المتكاملة ومشروع التنمية الحضرية",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "Gaza Solid Waste Management Project (SWMP)",
"corrected_name": "Gaza Solid Waste Management Project (SWMP)",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Cited as an example of project initiatives.",
"context_sentence": "The Municipal Development Program (MDP), at the center of the Bank’s LG sector support, has been following a programmatic approach that was complemented by a number of stand-alone interventions. These include: the Village and Neighborhood Development Project (VNDP) to support marginalized communities through a Community Driven Development approach; the Palestinian NGO Project (PNGO) to provide assistance to civil society and basic social service delivery; Southern Solid Waste Management projects (SSWMP) in the West Bank and the Gaza Solid Waste Management Project (SWMP) to establish and support the operation of sanitary landfills; and the Second Land Administration Project (LAP-2) to improve land administration in a pilot area. Those projects have either already closed (VNDP); or scheduled to close in the near future (PNGO and SSWMP); or have already been cancelled because of limited results (LAP-2).",
"pdf_url": "/pdfs/112_IDAR2016-0221-PAD-09012016.pdf"
},
{
"document_name": "112_IDAR2016-0221-PAD-09012016",
"document_title": "الضفة الغربية وقطاع غزة - المدن المتكاملة ومشروع التنمية الحضرية",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 15,
"mention_text": "Affordable Mortgage and Loan Corporation (AMAL)",
"corrected_name": "Affordable Mortgage and Loan Corporation (AMAL)",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Facilitates the provision of affordable home loans.",
"context_sentence": "The recently approved Finance-for-Jobs (FforJ) Project supports private sector stakeholders to mobilize private investment financing in high potential sectors and generate job opportunities for Palestine. IFC has helped to establish a program for affordable home loans to lower and middle income Palestinians through the Affordable Mortgage and Loan Corporation (AMAL). However, a gap and emerging need remain to 4",
"pdf_url": "/pdfs/112_IDAR2016-0221-PAD-09012016.pdf"
},
{
"document_name": "112_IDAR2016-0221-PAD-09012016",
"document_title": "الضفة الغربية وقطاع غزة - المدن المتكاملة ومشروع التنمية الحضرية",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 37,
"mention_text": "urban growth baselines",
"corrected_name": "urban growth baselines",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual data for forecasting urban growth.",
"context_sentence": "6. Based on the established urban growth baselines, forecasts, and available public resources (e. g.",
"pdf_url": "/pdfs/112_IDAR2016-0221-PAD-09012016.pdf"
},
{
"document_name": "112_IDAR2016-0221-PAD-09012016",
"document_title": "الضفة الغربية وقطاع غزة - المدن المتكاملة ومشروع التنمية الحضرية",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 39,
"mention_text": "spatial population data",
"corrected_name": "spatial population data",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Contextual reference for project planning.",
"context_sentence": "g. existing spatial population data) over the course of the proposed project cycle. As the participating urban areas do not have a legal body beyond respective LGUs to govern their conjoined built space, the proposed project will support the areas to establish and maintain active coordination mechanisms for the LGUs to collectively deliver results areas.",
"pdf_url": "/pdfs/112_IDAR2016-0221-PAD-09012016.pdf"
},
{
"document_name": "1143_zimbabwe_shona",
"document_title": "UNHCR Zimbabwe Stateless Shona Community Policy Brief",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "2024 socioeconomic survey",
"corrected_name": "2024 socioeconomic survey",
"specificity": "descriptive",
"downstream_impact_channel": "Evidence",
"data_use_impact": "Cited as the primary data source for the report's findings.",
"context_sentence": "Ten individuals from the Shona community were granted Kenyan citizenship on 12 December 2020 and a further 1,649 were recognized as Kenyan citizens and issued with registration certificates on 29 July 2021. - **Box 1: Data Sources** The primary data for this report come from a comprehensive 2024 socioeconomic survey conducted by UNHCR which recontacted households which were initially surveyed in 2019, prior to the Shona acquiring nationality. The follow-up survey aimed to capture the transformative impact of citizenship on the Shona community in terms of employment, education, income, and access to essential services, while also incorporating new modules on social cohesion, community engagement, and civic participation to better understand the broader integration of the Shona into Kenyan society.",
"pdf_url": "/pdfs/1143_zimbabwe_shona.pdf"
},
{
"document_name": "1143_zimbabwe_shona",
"document_title": "UNHCR Zimbabwe Stateless Shona Community Policy Brief",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "2019 household survey of the Shona community",
"corrected_name": "2019 household survey of the Shona community",
"specificity": "descriptive",
"downstream_impact_channel": "Evidence",
"data_use_impact": "Provides empirical data to support findings on socioeconomic conditions.",
"context_sentence": "The 2024 survey provides rich insights into the Shona’s post-citizenship journey and the challenges and opportunities they face as newly recognized citizens of Kenya. The findings are complemented by the 2019 household survey of the Shona community, conducted jointly by UNHCR and the World Bank [[8]] establishing a baseline of the Shona community’s socioeconomic conditions while they were still stateless. This study revealed significant disparities in access to services and opportunities compared to Kenyan nationals, highlighting the detrimental effects of statelessness on employment, financial inclusion, and educational attainment.",
"pdf_url": "/pdfs/1143_zimbabwe_shona.pdf"
},
{
"document_name": "1143_zimbabwe_shona",
"document_title": "UNHCR Zimbabwe Stateless Shona Community Policy Brief",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "Kenya COVID-19 Rapid Response Phone Surveys",
"corrected_name": "Kenya COVID-19 Rapid Response Phone Surveys",
"specificity": "named",
"downstream_impact_channel": "Evidence",
"data_use_impact": "Cited to support insights regarding the Shona population.",
"context_sentence": "These findings informed policy recommendations that ultimately contributed to the recognition of the Shona as Kenyan citizens in 2020-21, providing a crucial foundation for evaluating their post citizenship outcomes. Additionally, insights were drawn from the Kenya COVID-19 Rapid Response Phone Surveys (RRPS), [[9]] conducted between 2020 and 2022, which included the Shona as a distinct stratum. The RRPS monitored the impact of the pandemic on vulnerable groups, capturing critical data on employment disruptions, income losses, and food insecurity during the crisis.",
"pdf_url": "/pdfs/1143_zimbabwe_shona.pdf"
},
{
"document_name": "1143_zimbabwe_shona",
"document_title": "UNHCR Zimbabwe Stateless Shona Community Policy Brief",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 4,
"mention_text": "Kenya COVID-19 Rapid Response Phone Surveys",
"corrected_name": "Kenya COVID-19 Rapid Response Phone Surveys",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a source for understanding socioeconomic impacts.",
"context_sentence": "Although employment levels began to recover a year later, they remained below pre-pandemic levels, underscoring the prolonged adverse impact of the pandemic on this already vulnerable community. [[9]] _Figure 1: Labor force status after the COVID-19 outbreak (18-64 years)_ _Source: Kenya COVID-19 Rapid Response Phone Surveys (RRPS)_ _[[9]]_ **Two rounds of household surveys taking place over five years before and after the transition of the Shona in** **Kenya from statelessness to citizenship help us to understand this community – and present one of the first** **socioeconomic pictures of the impact of citizenship on the welfare of stateless persons. ** Between 2019 and 2024, the median age of Shona household members remained unchanged at 18 years, underscoring a predominantly youth demographic profile.",
"pdf_url": "/pdfs/1143_zimbabwe_shona.pdf"
},
{
"document_name": "1143_zimbabwe_shona",
"document_title": "UNHCR Zimbabwe Stateless Shona Community Policy Brief",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 6,
"mention_text": "Kenya COVID-19 Rapid Response Phone Survey",
"corrected_name": "Kenya COVID-19 Rapid Response Phone Survey",
"specificity": "named",
"downstream_impact_channel": "Evidence",
"data_use_impact": "Cited to support claims about job losses in the Shona community.",
"context_sentence": "**pandemic, regional drought, inflation crisis and continuing global economic turbulence. ** According to data from the Kenya COVID-19 Rapid Response Phone Survey (RRPS), the Shona community experienced significant job losses during the pandemic, particularly between July and September 2020, when unemployment increased dramatically. [[9]] This period of economic disruption caused by the pandemic led to fluctuating employment rates, as seen in the figure below.",
"pdf_url": "/pdfs/1143_zimbabwe_shona.pdf"
},
{
"document_name": "1143_zimbabwe_shona",
"document_title": "UNHCR Zimbabwe Stateless Shona Community Policy Brief",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 6,
"mention_text": "2019 Shona socioeconomic survey",
"corrected_name": "2019 Shona socioeconomic survey",
"specificity": "named",
"downstream_impact_channel": "Evidence",
"data_use_impact": "Cited to support claims about employment rates for women.",
"context_sentence": "[[9]] This period of economic disruption caused by the pandemic led to fluctuating employment rates, as seen in the figure below. _Figure 3: Labor force participation as a percentage of working age population, between 2019 and 2024_ _Source: 2019 Shona socioeconomic survey,_ [[8]] _Kenya COVID-19 Rapid Response Phone Surveys (RRPS),_ _[[9]]_ _and the authors’ calculation_ _of 2024 survey data. _ **While employment has started to improve, it has not yet returned to pre-pandemic levels, especially for women.",
"pdf_url": "/pdfs/1143_zimbabwe_shona.pdf"
},
{
"document_name": "1143_zimbabwe_shona",
"document_title": "UNHCR Zimbabwe Stateless Shona Community Policy Brief",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 12,
"mention_text": "2019 Socioeconomic Survey",
"corrected_name": "2019 Socioeconomic Survey",
"specificity": "named",
"downstream_impact_channel": "Evidence",
"data_use_impact": "Cited to support findings on socioeconomic conditions.",
"context_sentence": "A. Rios Rivera, ‘Understanding the Socioeconomic Conditions of the Stateless Shona Community in Kenya: Results from the 2019 Socioeconomic Survey’, Dec. 2020.",
"pdf_url": "/pdfs/1143_zimbabwe_shona.pdf"
},
{
"document_name": "1143_zimbabwe_shona",
"document_title": "UNHCR Zimbabwe Stateless Shona Community Policy Brief",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 12,
"mention_text": "Kenya Demographic and Health Survey 2022",
"corrected_name": "Kenya Demographic and Health Survey 2022",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a source for demographic and health data.",
"context_sentence": "org/curated/en/202201637042522937/pdf/How-COVID-19-Continues-to-Affect-Lives-of-Refugeesin-Kenya-Rapid-Response-Phone-Survey-Rounds-1-to-5. pdf [10] Kenya National Bureau of Statistics and ICF, ‘Kenya Demographic and Health Survey 2022. Key Indicators Report’, KNBS and ICF, Nairobi, Kenya, and Rockville, Maryland, USA, 2023.",
"pdf_url": "/pdfs/1143_zimbabwe_shona.pdf"
},
{
"document_name": "1165_brazil_protection_brief",
"document_title": "UNHCR Brazil Cash-Based Interventions Report",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "Refugee and Migrant Needs Analysis",
"corrected_name": "Refugee and Migrant Needs Analysis",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a source for understanding refugee and migrant needs.",
"context_sentence": "org/br/sites/br/files/2024-11/informe-mercado-trabalho-formal-pessoas-afegas-no-brasil-junho-2024. pdf --- [3] R4V (2023), Refugee and Migrant Needs Analysis, https://rmrp. r4v.",
"pdf_url": "/pdfs/1165_brazil_protection_brief.pdf"
},
{
"document_name": "1165_brazil_protection_brief",
"document_title": "UNHCR Brazil Cash-Based Interventions Report",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 5,
"mention_text": "Results Monitoring Survey (RMS)",
"corrected_name": "Results Monitoring Survey (RMS)",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a source of data for monitoring results.",
"context_sentence": "8 _16_ [UNHCR (2024). Brazil: Results Monitoring Survey (RMS) – UNHCR. (2024).",
"pdf_url": "/pdfs/1165_brazil_protection_brief.pdf"
},
{
"document_name": "116_PAD1510-PAD-P152821-IDA-R2016-0078-1-Box394886B-OUO-9",
"document_title": "Africa - Displaced Persons and Border Communities Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 46,
"mention_text": "Beneficiary survey",
"corrected_name": "Beneficiary survey",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Source of data for measuring improvements in food security, income, and welfare.",
"context_sentence": "|Col1|Col2|Col3|Col4|Collection| |---|---|---|---|---| |Direct project beneficiaries|Direct beneficiaries are people who
directly derive benefits from an
intervention under the project|Quarterly|Monitoring Reports|National Climate Change
Secretariat| |Beneficiaries with
improved access to
connective and socio-
economic infrastructure|Number of beneficiaries reported in sub-
project proposals and verified by the
District that are estimated to benefit from
connective infrastructure and socio-
economic infrastructure subprojects,
reported once the infrastructure is
completed. |Quarterly|Sub-project Proposals
Monitoring Reports|National Climate Change
Secretariat| |Beneficiaries of livelihood
subprojects who report
improved food security,
income and/or welfare|Percentage of surveyed beneficiaries of
livelihoods subprojects under Component
2 who report improvements on: food
security, income and/or welfare|Baseline,
Yr2, Yr4,
Yr5|Beneficiary survey|National Climate Change
Secretariat| **Intermediate Results Indicators** |Indicator Name|Description (indicator definition etc. )|Frequency|Data Source / Methodology|Responsibility for Data
Collection| |---|---|---|---|---| |Number of completed
infrastructure sub-projects
(by sub-project type)|This indicator will be broken down by
type of social services or infrastructure
with an agreed set of measurement
guidelines (e.",
"pdf_url": "/pdfs/116_PAD1510-PAD-P152821-IDA-R2016-0078-1-Box394886B-OUO-9.pdf"
},
{
"document_name": "116_PAD1510-PAD-P152821-IDA-R2016-0078-1-Box394886B-OUO-9",
"document_title": "Africa - Displaced Persons and Border Communities Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 53,
"mention_text": "UNHCR Angolan and Rwandan Refugee Profile",
"corrected_name": "UNHCR Angolan and Rwandan Refugee Profile",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source for refugee demographic information.",
"context_sentence": "(UNHCR, 2015) 32 Examples of vulnerability criteria include: separated child, exposure to multiple displacements, physical disability, older person unable to care for self, and single female household representative. UNHCR Angolan and Rwandan Refugee Profile as of November 6, 2015, (UNHCR, 2015), p. 1,2",
"pdf_url": "/pdfs/116_PAD1510-PAD-P152821-IDA-R2016-0078-1-Box394886B-OUO-9.pdf"
},
{
"document_name": "117_Somali-Urban-Investment-Planning-Project",
"document_title": "Somali - Urban Investment Planning Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "UNFPA Population Estimates 2014",
"corrected_name": "UNFPA Population Estimates 2014",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a data source for context in assessments.",
"context_sentence": "In contrast to the war-torn south, northern areas are relatively stable and have put in place functioning institutions, although considerable development challenges remain. --- [1] Interim Strategy Note FY14-16, World Bank, December 2013, UNFPA Population Estimates 2014 [2] A Rapid Assessment of Three Somali Urban Areas, World Bank, November 2013, UNFPA Population Estimates 2014",
"pdf_url": "/pdfs/117_Somali-Urban-Investment-Planning-Project.pdf"
},
{
"document_name": "117_Somali-Urban-Investment-Planning-Project",
"document_title": "Somali - Urban Investment Planning Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 12,
"mention_text": "regional fiscal and economic data",
"corrected_name": "regional fiscal and economic data",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual information for understanding macro-economic conditions.",
"context_sentence": "Somalia’s macro-economic framework reflects the country’s underlying fragility **. ** Reliable macro-economic data for Somalia is not available – however regional fiscal and economic data does exist and broader estimates can be aggregated. Public expenditure is estimated to account for 7.",
"pdf_url": "/pdfs/117_Somali-Urban-Investment-Planning-Project.pdf"
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{
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"document_title": "Somali - Urban Investment Planning Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 17,
"mention_text": "baseline survey of environmental and social information",
"corrected_name": "baseline survey of environmental and social information",
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"downstream_impact_channel": "Program Design",
"data_use_impact": "Contextual data for identifying E&S constraints and enhancements.",
"context_sentence": "21. Environmental and social (E&S) due diligence work will contribute to the subcomponent via two main types of activities: (i) a baseline survey of environmental and social information, data and issues that would help to identify E&S constraints, but also areas of potential enhancement of project outcomes, and provide E&S information, criteria and constraining factors for the subsequent design process; (ii) the development of an environmental and social management framework, which would constitute a generic tool for managing social and environmental risks related to urban investments, regardless of funding source, in the Somali territories for use by entities such as local governments and water utilities. 22.",
"pdf_url": "/pdfs/117_Somali-Urban-Investment-Planning-Project.pdf"
},
{
"document_name": "117_Somali-Urban-Investment-Planning-Project",
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"context_sentence": "25. Environmental and social due diligence work will contribute to the sub-component via two main types of activities: (i) a baseline survey of environmental and social information, data and issues that would help to identify E&S constraints, but also areas of potential enhancement of project outcomes, and provide E&S information, criteria and constraining factors for the subsequent design process; (ii) the development of an environmental and social management framework, which would constitute a generic tool for managing social and environmental risks related to urban investments, regardless of funding source, in Puntland for use by entities such as local governments and water utilities. 26.",
"pdf_url": "/pdfs/117_Somali-Urban-Investment-Planning-Project.pdf"
},
{
"document_name": "117_Somali-Urban-Investment-Planning-Project",
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"downstream_impact_channel": "Program Design",
"data_use_impact": "Provides foundational data for identifying constraints and enhancing project outcomes.",
"context_sentence": "29. Environmental and social due diligence work will contribute to the sub-component via two main types of activities: (i) a baseline survey of environmental and social information, data and issues that would help to identify E&S constraints, but also areas of potential enhancement of project outcomes, and provide E&S information, criteria and constraining factors for the processes for design and environmental/social assessments planned for SUDP or other downstream planning activities; (ii) the development of an environmental and social management framework, which would constitute a generic tool for managing social and environmental risks related to urban investments, and planning follow-up investigations, assessments and analyses (for e. g.",
"pdf_url": "/pdfs/117_Somali-Urban-Investment-Planning-Project.pdf"
},
{
"document_name": "117_Somali-Urban-Investment-Planning-Project",
"document_title": "Somali - Urban Investment Planning Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 26,
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"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Used for financial accountability and reporting.",
"context_sentence": "_Auditing:_ Given the regional spread and the capacity challenges in the Offices of the Auditors General in the regions, an external audit firm will be engaged and funded by the project to carry out the audit of the project activities. Each of the project implementing agencies (BRA, GM, HWA and HM) will prepare and submit project financial statements. The project will carry out one external audit covering the entire project period for the RE activities.",
"pdf_url": "/pdfs/117_Somali-Urban-Investment-Planning-Project.pdf"
},
{
"document_name": "117_Somali-Urban-Investment-Planning-Project",
"document_title": "Somali - Urban Investment Planning Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 27,
"mention_text": "socio-economic baseline data",
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"data_use_impact": "Contextual reference for data collection requirements.",
"context_sentence": "73. Environmental and social safeguard management frameworks (ESMFs) will be produced (see next section for details), complying with international good practice norms and approaches, that also would cover the collection of socio-economic baseline data and the determination of likely typologies of social and livelihood impacts, or the need for land acquisition or resettlement. These activities will be accomplished during SUIPP’s implementation period, informing the planned technical and engineering studies.",
"pdf_url": "/pdfs/117_Somali-Urban-Investment-Planning-Project.pdf"
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{
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"context_sentence": "Detailed preparation of this follow-up operation, which has been classified as environmental category B, will commence once the work supported by the SUIPP is completed. This will include the preparation, consultation on, and disclosure of the required E&S due diligence instruments, for which two main types of activities will be carried out: (a) a baseline survey of environmental and social information, data and issues that will help to identify E&S constraints, but also areas of potential enhancement of project outcomes, and provide E&S information, criteria and constraining factors for the processes for design and environmental/social assessments planned for SUDP or other downstream planning activities;",
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{
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"page_number": 39,
"mention_text": "survey of road conditions",
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"context_sentence": "This program has benefited from UN-Habitat technical assistance. A survey of road conditions has been conducted by the Municipality with UN-Habitat assistance, the results of which have been documented and recorded on a Geographic Information System (GIS) platform for improved roads network planning and assets management capabilities of the GM. Currently with JPLG assistance - three roads with a combined length of 7.",
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{
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"context_sentence": "The bitumen surfaces are of a double-seal dressing technical specification. Based on the roads conditions survey and additional planning activities by the GM, an additional 27. 03 km of roads in two categories – gravel and earthengineered – have been identified for priority bitumen surfacing.",
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},
{
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"context_sentence": "Given the regional spread and the capacity challenges in the Offices of the Auditors General in the regions, an external audit firm will be engaged and funded by the project to carry out the audit of the project activities. Each of the project implementing agencies (BRA, GM, HWA and HM) will prepare and submit project financial statements. The project will carry out one external audit covering the entire project period for the Recipient Executed activities.",
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},
{
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{
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"pdf_url": "/pdfs/117_Somali-Urban-Investment-Planning-Project.pdf"
},
{
"document_name": "118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9",
"document_title": "Cameroon - Third Phase of the Community Development Program Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 23,
"mention_text": "Baseline data",
"corrected_name": "Baseline data",
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"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual information for understanding subsequent analysis.",
"context_sentence": "_**Evaluation**_ . Baseline data has been established based on studies and surveys conducted during PNDP II. Two impact assessments using the difference-in-difference method (or other relevant method) will be conducted during the implementation of the project: one at the mid-term review, and another one at project completion.",
"pdf_url": "/pdfs/118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9.pdf"
},
{
"document_name": "118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9",
"document_title": "Cameroon - Third Phase of the Community Development Program Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 25,
"mention_text": "worldwide governance indicators",
"corrected_name": "worldwide governance indicators",
"specificity": "vague",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited to support claims about Cameroon’s governance ranking.",
"context_sentence": "Spill-over from Northern Nigeria and CAR conflicts raised security issues in the northern regions of Cameroon since 2012. Regarding corruption, Cameroon has ranked below the 25th percentile in all worldwide governance indicators (2012), below LMICs and Sub-Sahara Africa averages. Furthermore, Cameroon ranks 161 out of 183 countries in the 2012 Doing Business report.",
"pdf_url": "/pdfs/118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9.pdf"
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{
"document_name": "118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9",
"document_title": "Cameroon - Third Phase of the Community Development Program Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 25,
"mention_text": "2010-2011 Transparency International’s survey",
"corrected_name": "2010-2011 Transparency International’s survey",
"specificity": "named",
"downstream_impact_channel": "Public Accountability",
"data_use_impact": "Cited statistic to support the claim about bribery rates.",
"context_sentence": "9 among IDA borrowers. According to 2010-2011 Transparency International’s survey, 57% of interviewees paid a bribe in the last 12 months. Investment in conflict-affected regions, where poverty is high will contribute to mitigate the impact of the conflict.",
"pdf_url": "/pdfs/118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9.pdf"
},
{
"document_name": "118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9",
"document_title": "Cameroon - Third Phase of the Community Development Program Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 76,
"mention_text": "Baseline data",
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"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual information for understanding subsequent analyses.",
"context_sentence": "**Evaluation** . Baseline data has been established based on studies and surveys conducted during PNDP II. Two impact assessments using the difference-in-difference method (or other relevant method) will be conducted during the implementation of the project: one at the mid-term review, and another one at project completion.",
"pdf_url": "/pdfs/118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9.pdf"
},
{
"document_name": "118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9",
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"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 76,
"mention_text": "surveys conducted during PNDP II",
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"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual reference for baseline data establishment.",
"context_sentence": "**Evaluation** . Baseline data has been established based on studies and surveys conducted during PNDP II. Two impact assessments using the difference-in-difference method (or other relevant method) will be conducted during the implementation of the project: one at the mid-term review, and another one at project completion.",
"pdf_url": "/pdfs/118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9.pdf"
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{
"document_name": "118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9",
"document_title": "Cameroon - Third Phase of the Community Development Program Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 95,
"mention_text": "independent survey",
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"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Contextual data reference for project impact assessment.",
"context_sentence": "5. According to an independent survey carried out on December 2008 and sectoral data collected from recipients and consolidated by the provincial units of the project, the overall impact of the project on beneficiaries is considered satisfactory. For instance: - In the education sector, nearly 9,900 students have improved access to education facilities through the construction of 116 classrooms and provision of 6,415 textbooks to 13 primary and two secondary schools.",
"pdf_url": "/pdfs/118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9.pdf"
},
{
"document_name": "118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9",
"document_title": "Cameroon - Third Phase of the Community Development Program Support Project",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 95,
"mention_text": "sectoral data collected from recipients",
"corrected_name": "sectoral data collected from recipients",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Cited to support the assessment of project impact on beneficiaries.",
"context_sentence": "5. According to an independent survey carried out on December 2008 and sectoral data collected from recipients and consolidated by the provincial units of the project, the overall impact of the project on beneficiaries is considered satisfactory. For instance: - In the education sector, nearly 9,900 students have improved access to education facilities through the construction of 116 classrooms and provision of 6,415 textbooks to 13 primary and two secondary schools.",
"pdf_url": "/pdfs/118_PAD1199-PAD-P144637-IDA-R2015-0247-1-Box393201B-OUO-9.pdf"
},
{
"document_name": "1268_rbsa_population_data",
"document_title": "UNHCR RBSA Southern Africa Population Data Analysis",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 2,
"mention_text": "proGres v4 (PRIMES)",
"corrected_name": "proGres v4 (PRIMES)",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a source of data for refugees and asylum-seekers.",
"context_sentence": "Congolese (DRC) is the nationality with the highest number of submissions (3,618) and departures (1,729). Data Sources: proGres v4 (PRIMES) hosts the data of refugees and asylum-seekers in 11 countries. In South Africa, the data are managed by the government.",
"pdf_url": "/pdfs/1268_rbsa_population_data.pdf"
},
{
"document_name": "1268_rbsa_population_data",
"document_title": "UNHCR RBSA Southern Africa Population Data Analysis",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 5,
"mention_text": "UNHCR PRIMES",
"corrected_name": "UNHCR PRIMES",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a source for repatriation data context.",
"context_sentence": "REGIONAL BUREAU FOR SOUTHERN AFRICA **2022 VOLUNTARY REPATRIATION IN SOUTHERN AFRICA REGION** As of 30 September 2022 MAP OF VOLUNTARY REPATRIATION WHERE THE FLOW INVOLVE 5 POCs OR MORE KEY FIGURES 15,042 Total Individuals repatrieted since January 2022 Individuals repatrieted **within Southern Africa** **Region** since January 2022 6,786 8,256 Individuals repatrieted **from Southern Africa** **Region** to other countries outside of the region since January 2022 VOLREP* WHERE THE FLOW INVOLVE 5 POCs OR MORE TRENDS MONTHLY REPATRIATION SINCE JANUARY **3,874** ANNUAL REPATRIATION SINCE 2019 *VolRep = Voluntary Repatriation PoCs = Persons of Concern Source : UNHCR PRIMES Author : DIMA/RBSA Data sources: UNHCR PRIMES. For more information or to contribute, please contact UNHCR RBSA DIMA (rsarbdima@unhcr.",
"pdf_url": "/pdfs/1268_rbsa_population_data.pdf"
},
{
"document_name": "1268_rbsa_population_data",
"document_title": "UNHCR RBSA Southern Africa Population Data Analysis",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 6,
"mention_text": "UNHCR Primes",
"corrected_name": "UNHCR Primes",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a source for context or literature review.",
"context_sentence": "REGIONAL BUREAU FOR SOUTHERN AFRICA **DEMOCRATIC REPUBLIC OF THE CONGO REFUGEES SITUATION** As of 3 0 September 2022 **Author: UNHCR DIMA - RSA** Contact : rsarbdima@unhcr. org **Source:** UNHCR Primes, Government, UNHCR",
"pdf_url": "/pdfs/1268_rbsa_population_data.pdf"
},
{
"document_name": "1268_rbsa_population_data",
"document_title": "UNHCR RBSA Southern Africa Population Data Analysis",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 7,
"mention_text": "UNHCR PRIMES",
"corrected_name": "UNHCR PRIMES",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a data source for context.",
"context_sentence": "RESETTLEMENT KEY FIGURES **Submitted Cases** 1,063 4,497 **Cases** **Case Members** **Active Cases** 986 4,219 **Case** **Case Members** **Submitted Cases Member by** **Country of Submission** REGIONAL BUREAU FOR SOUTHERN AFRICA **PERSONS OF CONCERN INVOLVED IN RESETTLEMENT IN SOUTHERN AFRICA** As of 30 September 2022 MOVEMENTS OF GROUPS OF 10 OR MORE RESETTLEMENT CASE MEMBERS **Country of Origin** **Country of Submission** **Country of Resettlement** MAP OF THE DEPARTURES BY COUNTRY OF SUBMISSION **Departure Cases** 337 2,067 **Case** **Case Members** **Quota** 6,483 69% **Allotcated Quota** **% of Submission vs Quota** **Balance (Quota/Submission) :** 1,986 **Departure Cases by Age and Gender** **ZAM** **MLW** **RSA** **ZIM** **MOZ** **ANG** **BOT** **NAM** **COB** **COD** **USA** **SWE** **NZL** **FIN** **NOR** **CAN** **AUL** **FRA** **493** **303** **205** **28** **27** **13** **11** 4% 9% 9% 26% 0% 0-4 5-11 12-17 18-59 60+ 3% 12% 9% 1% 26% **Submitted Cases Members** **by Top 10 Country of Asylum** **MLW** **ZAM** **3,417** **1,438** **1,367** **Departure Cases Members** **by Top 10 Country of Asylum** **1,247** **464** **169** **122** **16** **15** **14** **12** **2** **2** **RSA** **ZIM** **NAM** **BOT** **MOZ** **MAD** **519** **487** **355** **157** **96** **36** **Submitted Cases Members** **by Top 10 Country of Origin** **Departure Cases Members** **by Top 10 Country of Origin** Data sources: UNHCR PRIMES, UNHCR Resettlement Statistics Report. For more information or to contribute, please contact UNHCR RBSA DIMA (rsarbdima@unhc **1,729** **154** **57** **53** **34** **13** **12** **4** **3** **2** **COD** **BDI** **SOM** **RWA** **TUR** **ZAM** **ETH** **UGA** **ANG** **AFG** **COD** **BDI** **SOM** **RWA** **ETH** **PAK** **TUR** **CAR** **BOT** **ERT** **3,619** **263** **235** **220** **40** **36** **19** **14** **8** **8**",
"pdf_url": "/pdfs/1268_rbsa_population_data.pdf"
},
{
"document_name": "1268_rbsa_population_data",
"document_title": "UNHCR RBSA Southern Africa Population Data Analysis",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 7,
"mention_text": "UNHCR Resettlement Statistics Report",
"corrected_name": "UNHCR Resettlement Statistics Report",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a data source for context.",
"context_sentence": "RESETTLEMENT KEY FIGURES **Submitted Cases** 1,063 4,497 **Cases** **Case Members** **Active Cases** 986 4,219 **Case** **Case Members** **Submitted Cases Member by** **Country of Submission** REGIONAL BUREAU FOR SOUTHERN AFRICA **PERSONS OF CONCERN INVOLVED IN RESETTLEMENT IN SOUTHERN AFRICA** As of 30 September 2022 MOVEMENTS OF GROUPS OF 10 OR MORE RESETTLEMENT CASE MEMBERS **Country of Origin** **Country of Submission** **Country of Resettlement** MAP OF THE DEPARTURES BY COUNTRY OF SUBMISSION **Departure Cases** 337 2,067 **Case** **Case Members** **Quota** 6,483 69% **Allotcated Quota** **% of Submission vs Quota** **Balance (Quota/Submission) :** 1,986 **Departure Cases by Age and Gender** **ZAM** **MLW** **RSA** **ZIM** **MOZ** **ANG** **BOT** **NAM** **COB** **COD** **USA** **SWE** **NZL** **FIN** **NOR** **CAN** **AUL** **FRA** **493** **303** **205** **28** **27** **13** **11** 4% 9% 9% 26% 0% 0-4 5-11 12-17 18-59 60+ 3% 12% 9% 1% 26% **Submitted Cases Members** **by Top 10 Country of Asylum** **MLW** **ZAM** **3,417** **1,438** **1,367** **Departure Cases Members** **by Top 10 Country of Asylum** **1,247** **464** **169** **122** **16** **15** **14** **12** **2** **2** **RSA** **ZIM** **NAM** **BOT** **MOZ** **MAD** **519** **487** **355** **157** **96** **36** **Submitted Cases Members** **by Top 10 Country of Origin** **Departure Cases Members** **by Top 10 Country of Origin** Data sources: UNHCR PRIMES, UNHCR Resettlement Statistics Report. For more information or to contribute, please contact UNHCR RBSA DIMA (rsarbdima@unhc **1,729** **154** **57** **53** **34** **13** **12** **4** **3** **2** **COD** **BDI** **SOM** **RWA** **TUR** **ZAM** **ETH** **UGA** **ANG** **AFG** **COD** **BDI** **SOM** **RWA** **ETH** **PAK** **TUR** **CAR** **BOT** **ERT** **3,619** **263** **235** **220** **40** **36** **19** **14** **8** **8**",
"pdf_url": "/pdfs/1268_rbsa_population_data.pdf"
},
{
"document_name": "1268_rbsa_population_data",
"document_title": "UNHCR RBSA Southern Africa Population Data Analysis",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 8,
"mention_text": "UNHCR PRIMES",
"corrected_name": "UNHCR PRIMES",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a data source without specific analysis.",
"context_sentence": "11%
0. 01%
IDP
Refugee
Asylum seeker
Number of incidents|Provinc
Repu
50 km| Data sources: UNHCR PRIMES. For more information or to contribute, please contact UNHCR RBSA DIMA (rsarbdima@unhcr.",
"pdf_url": "/pdfs/1268_rbsa_population_data.pdf"
},
{
"document_name": "1268_rbsa_population_data",
"document_title": "UNHCR RBSA Southern Africa Population Data Analysis",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 10,
"mention_text": "proGres v4",
"corrected_name": "proGres v4",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a data source for tracking individuals' information.",
"context_sentence": "**Persons of concern in Southern Africa, Data as of 30 September 2022** Notes: *'Other' in the location refers to any known location other than camp or settlement sites, covering both urban and rural areas; **self-settled refers to the individuals without available information such as their names and locations, and their locations are categorised to be 'unknown'; those by location in Congo, Democratic Republic of the Congo and Zimbabwe could be different from the numbers operation report due to inconsistency in proGres v4.",
"pdf_url": "/pdfs/1268_rbsa_population_data.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 10,
"mention_text": "U-Report on the Move",
"corrected_name": "U-Report on the Move",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of opinions on education and training courses.",
"context_sentence": "Together with the literature review, primary and secondary data were collected from national or regional official sources on the socio-demographic characteristics of UASC and former UASC and their presence in the Adult Learning Centres (CPIAs). These data were also based on online polls (U-Report on the Move) on the opinions UASC and former UASC on education and training courses received in Italy. Qualitative data draw from interviews and Focus group discussions (FGDs) with 185 UASC and former UASC, 46 interviews with key social and institutional informants (educators, social workers, teachers, volunteer guardians, and local institutional representatives), nine interviews with representatives of the relevant Ministries and United Nations agencies.",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 16,
"mention_text": "U-Report on the Move polls",
"corrected_name": "U-Report on the Move polls",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support findings on UASC opinions regarding education and training.",
"context_sentence": "For each thematic focus of the research, the literature review also provided key information on the normative framework and on the consequent current pathways of UASC in Italy to better frame both qualitative and quantitative methods. The quantitative approach is based on the collection of primary and secondary data from official national or regional sources on specific issues: **•** - the demographic characteristics of UASC, the condition linked to their legal status and their geographical presence in the three regions where the research was carried out; **•** - a questionnaire addressed to the 39 Adult Learning Centres (CPIAs) (19 in Lombardy, ten in Latium and ten in Sicily), with questions on the number of UASC students divided by age, gender and nationality; **•** - the opinions of UASC on their education and training pathways and internship experiences through two U-Report on the Move polls. [3] The qualitative approach [4] is based on: (i) interviews and focus group discussions (FGDs) with UASC and former UASC (166 males and 19 females); (ii) 46 interviews with key social and institutional informants at the regional and national levels (educators, social workers, teachers, volunteer guardians, institutional representatives); and (iii) nine interviews with representatives of ministries [5] and of the United Nations agencies that commissioned the research.",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 24,
"mention_text": "data on arrivals by sea",
"corrected_name": "data on arrivals by sea",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Used for comparative analysis with UASC registration data.",
"context_sentence": "In the first half of 2019, the proportion of UASC alone was still significant: 365 out of 2,779 UASC, or 13 per cent, arrived by sea. The data on arrivals by sea must be compared with those of UASC present and registered in the reception system by the MLSP. Table 2 shows the overall reduction between 2017 and 2018, with a stable gender distribution.",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 25,
"mention_text": "MLSP data",
"corrected_name": "MLSP data",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of information for UASC registration statistics.",
"context_sentence": "**Figure 1. UASC registered in the reception system as at 30 June 2019 by main nationality, gender and age** First 5 UASC nationalities Gender Females 7% 0-6 years old 1% Age 7-14 years old 6% 15 years old 7% Guinea Gambia Côte d'Ivoire Egypt Albania Other origin 5,2% 6,5% 6,7% 8,7% 22,9% 50% 16 years old 17 years old 23% 63% Males 93% Source: MLSP data (UASC Monthly Report in Italy, updated on 30 June 2019). Despite the aim of the Italian authorities to achieve a more equitable geographical distribution of reception facilities for UASC across the country, to date, Sicily continues to host the largest number of UASC.",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 26,
"mention_text": "data from the Ministry of the Interior",
"corrected_name": "data from the Ministry of the Interior",
"specificity": "descriptive",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Cited as a basis for calculations regarding asylum.",
"context_sentence": "(**) examined during the year irrespective of the date of application for asylum. Fonte: ISMU calculations based on data from the Ministry of the Interior, National Commission for Asylum. 26",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 35,
"mention_text": "census carried out in the CPIAs",
"corrected_name": "census",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Provides context for the research findings.",
"context_sentence": "[31] With the increase in the number of UASC, the provision of Italian courses has expanded and is now divided into Italian language workshops within the reception facilities, courses offered by the CPIAs, [32] and Italian language schools run by CSOs and/or universities. In particular, the CPIAs are the main hub for UASC – and for migrants, refugees and asylum-seekers in general – for Italian courses and the attainment of the compulsory middle school certificate, as shown by the census carried out in the CPIAs of the three regions involved in the research. The data collected by the CPIAs shows that 84 per cent of students are citizens of a third country, of whom 10 per cent are UASC.",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 35,
"mention_text": "data collected by the CPIAs",
"corrected_name": "data collected by the CPIAs",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support the statistic about student citizenship.",
"context_sentence": "In particular, the CPIAs are the main hub for UASC – and for migrants, refugees and asylum-seekers in general – for Italian courses and the attainment of the compulsory middle school certificate, as shown by the census carried out in the CPIAs of the three regions involved in the research. The data collected by the CPIAs shows that 84 per cent of students are citizens of a third country, of whom 10 per cent are UASC. [33] With regards to vocational training, there are two different types of training courses for UASC: short courses (from three to six months) provided by the accredited bodies of the Vocational Education and Training (VET) [34] regional system, and longer courses (from two years to five years) carried out by training institutions accredited by the regions or by the professional institutes and the CPIAs as part of their regular courses for the adult population.",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 36,
"mention_text": "U-Report on the Move poll",
"corrected_name": "U-Report on the Move poll",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited survey results to support claims about school satisfaction.",
"context_sentence": "[37] Many interviewed UASC want to go to school because they believe that their future depends on the acquisition of educational and professional skills. Responses to the U-Report on the Move poll also confirm this trend, with 77 per cent of respondents reporting that they were very satisfied with their school experience. [38] School and vocational training courses are experienced as strongly geared towards job insertion or as an opportunity for emancipation and growth: _“The school inspires ideas.",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 70,
"mention_text": "Central Information System for UASC",
"corrected_name": "Central Information System for UASC",
"specificity": "named",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Cited as a source of systematic data collection on unaccompanied and separated children.",
"context_sentence": "4 Data availability** The research revealed a number of gaps in the availability and management of data on UASC and former UASC, which prevents a comprehensive overview of the paths of this category of young people as they arrive in Italy. Although there is a systematic and centralized data collection on UASC through the Central Information System for UASC (SIM), important gaps remain regarding, inter alia _:_ **••** **residence permits for UASC** issued by local police stations and their conversion into other forms of permits when they turn 18; **••** **applications and outcomes of asylum applications** made by UASC, the granting of other types of residence permits (such as for special cases or medical treatment); **••** **the presence of UASC in the catch-up schools (CPIA);** **•** - the new **system of volunteer guardians** that can complement the information already collected within the SIM; **••** **UASC benefiting from foster care;** **•** - and the **presence of UASC in reception facilities. ** Moreover, there is currently no authority responsible for collecting data on former UASC.",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 74,
"mention_text": "social files and the data collection system",
"corrected_name": "social files and the data collection system",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Facilitates resource optimization and information management for child protection.",
"context_sentence": "DATA COLLECTION AND MANAGEMENT **•** - **Improve the data collection system,** harmonizing existing databases and ensuring that all information is collected and manageable, as recently noted by the Committee on the Rights of the Child in its Concluding Comments to Italy in 2019. This will be achieved by, inter alia, disaggregating data by age, gender, disability, geographical location, ethnic and national origin, legal status, protection and socio economic status in order to facilitate the analysis of the situation of all UASC and thus improve the protection system; **•** - **Link the social files and the data collection system (SIM)** so as to optimize resources and information in order to better protect the child; **•** - Create a mechanism for **collecting data on former UASC** that complements the information already collected within UASC data collection systems and that involves: -- the MOI, ANCI and SIPROIMI, which are responsible for the reception system, for both UASC and adults; -- the MLSP, which is responsible for the census and monitoring of the presence of UASC and for policies the pertaining to the socio-economic inclusion of UASC and former UASC; -- the Juvenile Courts, particularly with regard to the implementation of Article 13 of Law 47/2017; -- the Department of Equal Opportunities at the Presidency of the Council of Ministers, particularly with regard to the anti-trafficking plan; -- the National Ombudsman for Childhood and Adolescence; -- the MOE on the continuity of schooling upon reaching adulthood. _**For the European Union**_ **•** - Ensure **rapid and effective procedures for family reunification** starting from a systematic, timely and correct implementation of the Dublin Regulation, through the adoption of uniform and appropriate procedures, particularly with regard to age assessment and family reunification; **•** - Ensure effective cooperation between Member States securing **full and effective respect of the** **principle of the best interests of the child** by, inter alia, adopting harmonized and appropriate 78",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "1306_report_eng",
"document_title": "At a crossroads Unaccompanied and separated children in their transition to adulthood in Italy",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 87,
"mention_text": "cartella sociale",
"corrected_name": "cartella sociale",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Provides context on social inclusion data for UASC.",
"context_sentence": "61 The institutional working group was composed of: the Civil Court of Palermo, the Guardianship Judge, the Prosecutor's Office at the Juvenile Court of Palermo, the Police Headquarters of Palermo, the University of Palermo, the Provincial Health Authority of Palermo, and the Regional Education Authority for Sicily. 62 The cartella sociale, or social file, records information related to the reception and social inclusion path of UASC in Italy. It is included in the national database of the Ministry of Labour and Social Policies.",
"pdf_url": "/pdfs/1306_report_eng.pdf"
},
{
"document_name": "136_PAD7230P1476890AD0October0100final",
"document_title": "The World Bank",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 25,
"mention_text": "annual financial audits of municipalities",
"corrected_name": "annual financial audits of municipalities",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Used for monitoring and evaluating financial compliance and performance.",
"context_sentence": "The Project will track inputs, outputs and results through the following modalities: - On a routine basis, the Project will track expenditures and other fiduciary data relevant to Municipal Grants. This will be overseen by CVDB via quarterly progress reports and financial statements provided by the municipalities and annual financial audits of municipalities by independent auditors contracted under the Project. CVDB and MOMA will report on this data biannually to the World Bank and donor partners.",
"pdf_url": "/pdfs/136_PAD7230P1476890AD0October0100final.pdf"
},
{
"document_name": "136_PAD7230P1476890AD0October0100final",
"document_title": "The World Bank",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 26,
"mention_text": "surveys of beneficiary households",
"corrected_name": "surveys of beneficiary households",
"specificity": "descriptive",
"downstream_impact_channel": "Progress Monitoring",
"data_use_impact": "Data collection for monitoring and evaluation of the Project.",
"context_sentence": "- The Bank team will undertake a limited evaluation of the Project, in close coordination with MOMA and other Jordanian stakeholders and with the Center for Conflict, Security and Development (CCSD) within the Bank. This will involve surveys of beneficiary households and other key stakeholders at key points during the life of the Project. The evaluation design could employ appropriate evaluation techniques to estimate Projectspecific benefits and impacts.",
"pdf_url": "/pdfs/136_PAD7230P1476890AD0October0100final.pdf"
},
{
"document_name": "1401_myanmar_durable_solutions",
"document_title": "UNHCR Myanmar Durable Solutions Report (2013)",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 3,
"mention_text": "national census",
"corrected_name": "national census",
"specificity": "descriptive",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Contextual reference to demographic data collection.",
"context_sentence": "While the dimensions of IDP return movements remain extremely difficult to assess, some 37,000 IDPs are estimated by the The Border Consortium (TBC) to have returned home or resettled in surrounding areas between August 2011 and July 2012 [3] . If the current trend of political and socio-‐economic reforms continues and as larger political events draw closer, such as the ASEAN/AEC agenda with Myanmar as Chair in 2014, a national census in 2014, and national elections in 2015, then the momentum to translate cease-‐fire negotiations into peace agreements may increase. This may lead to an increase in the number of spontaneous returns and the possibility of sudden demands upon UNHCR to facilitate the voluntary repatriation of refugees.",
"pdf_url": "/pdfs/1401_myanmar_durable_solutions.pdf"
},
{
"document_name": "1401_myanmar_durable_solutions",
"document_title": "UNHCR Myanmar Durable Solutions Report (2013)",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 5,
"mention_text": "UNHCR ProGres data",
"corrected_name": "UNHCR ProGres data",
"specificity": "named",
"downstream_impact_channel": "Evidence",
"data_use_impact": "Provides statistical evidence on refugee demographics.",
"context_sentence": "_UNHCR Discussion Paper –15 June 2013_ lack of skilled personnel, facilities, basic equipment and supplies, including in terms of potentially life-‐saving reproductive health, malaria prevention and control and HIV services. The education sector is also substantially underserved and not of adequate standards, with a shortage of teachers and an inadequate number of primary schools within reasonable distance of many communities.",
"pdf_url": "/pdfs/1401_myanmar_durable_solutions.pdf"
},
{
"document_name": "140_779300PAD0P1280y0Box377377B00OUO090",
"document_title": "Burkina Faso - Electricity Sector Support Project (ESSP)",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 14,
"mention_text": "full survey of the living conditions of households",
"corrected_name": "full survey of the living conditions of households",
"specificity": "descriptive",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited to support findings on electricity access rates.",
"context_sentence": "The electrification rate is about 14 percent (about 40 percent in urban areas and no more than 5 percent in rural areas). The full survey of the living conditions of households shows that the rate of access to electricity remains generally low in Burkina Faso, albeit with disparities between urban areas. The rate of access to electricity by region varies greatly from one region to another 41.",
"pdf_url": "/pdfs/140_779300PAD0P1280y0Box377377B00OUO090.pdf"
},
{
"document_name": "140_779300PAD0P1280y0Box377377B00OUO090",
"document_title": "Burkina Faso - Electricity Sector Support Project (ESSP)",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 17,
"mention_text": "energy survey",
"corrected_name": "energy survey",
"specificity": "vague",
"downstream_impact_channel": "Resource Allocation",
"data_use_impact": "Used for operational decisions regarding account management and meter replacement.",
"context_sentence": "In that context, 345 beneficiaries optimized their power. Moreover, the energy survey allowed the cancellation of 250 inactive accounts, the replacement of obsolete meters, and identification of private meters within public buildings (total savings are estimated at about US$2. 0 million).",
"pdf_url": "/pdfs/140_779300PAD0P1280y0Box377377B00OUO090.pdf"
},
{
"document_name": "140_779300PAD0P1280y0Box377377B00OUO090",
"document_title": "Burkina Faso - Electricity Sector Support Project (ESSP)",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 28,
"mention_text": "procurement plans",
"corrected_name": "procurement plans",
"specificity": "vague",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Used for consolidating procurement information at the project level.",
"context_sentence": "The Project Coordination Unit (PCU) in DGE will be responsible for the financial management of the project and will manage the sole designated account for the project. The PCU, with support from DGE’s procurement specialist, will consolidate procurement related information at the project level (such as procurement plans, procurement related information in project monitoring reports, etc. ).",
"pdf_url": "/pdfs/140_779300PAD0P1280y0Box377377B00OUO090.pdf"
},
{
"document_name": "140_779300PAD0P1280y0Box377377B00OUO090",
"document_title": "Burkina Faso - Electricity Sector Support Project (ESSP)",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 31,
"mention_text": "survey conducted in 2010",
"corrected_name": "survey conducted in 2010",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support findings about procurement duration.",
"context_sentence": "This risk is compounded by extremely long national procurement procedures which affect the speed of project implementation. A survey conducted in 2010 showed that the procurement process could take anywhere between nine to fourteen months. This risk will however be partially mitigated by the new procedures which assign the review of procurement documents to decentralized structures.",
"pdf_url": "/pdfs/140_779300PAD0P1280y0Box377377B00OUO090.pdf"
},
{
"document_name": "140_779300PAD0P1280y0Box377377B00OUO090",
"document_title": "Burkina Faso - Electricity Sector Support Project (ESSP)",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 32,
"mention_text": "SONABEL Generation Master Plan",
"corrected_name": "SONABEL Generation Master Plan",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Cited for providing estimates related to economic assessment.",
"context_sentence": "75. For the economic assessment of the component prepared by the Bank team, the estimate of the reduction in LOLP and of the CUE have been derived from the latest SONABEL Generation Master Plan prepared by EDF (Oct 2011). On the cost side, the project incremental economic costs included estimated initial investments costs (plus contingencies) and additional operating costs (fuel, O&M) throughout the project life.",
"pdf_url": "/pdfs/140_779300PAD0P1280y0Box377377B00OUO090.pdf"
},
{
"document_name": "140_779300PAD0P1280y0Box377377B00OUO090",
"document_title": "Burkina Faso - Electricity Sector Support Project (ESSP)",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 36,
"mention_text": "land surveys",
"corrected_name": "land surveys",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Contextual data for project cost estimation.",
"context_sentence": "parameters and estimated project costs for the power plants and the distribution lines have been established by feasibility and engineering studies, including land surveys, and checked against actual unit costs for similar undertakings recently in Burkina Faso and neighboring countries. The technologies involved in construction and operation of distribution lines and diesel power plants are well-known and proven.",
"pdf_url": "/pdfs/140_779300PAD0P1280y0Box377377B00OUO090.pdf"
},
{
"document_name": "140_779300PAD0P1280y0Box377377B00OUO090",
"document_title": "Burkina Faso - Electricity Sector Support Project (ESSP)",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 37,
"mention_text": "Environmental and Social Impact Assessment (ESIA)",
"corrected_name": "Environmental and Social Impact Assessment (ESIA)",
"specificity": "named",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Cited as a safeguard instrument for environmental and social considerations.",
"context_sentence": "12 on Involuntary Resettlement. Regarding the characteristics of the sites, the nature and the extent of the activities, the following environmental and social safeguard instruments were prepared, consulted upon and disclosed prior appraisal: (i) the Environmental and Social Management Framework (ESMF) for the mitigation of the risks associated to the expansion of electricity infrastructures to the 40 communities to be selected during the implementation phase; (ii) the Environmental and Social Impact Assessment (ESIA) of the Ouahigouya power station; (iii) the Environmental and Social Impact Assessment (ESIA) of the Fada N’Gourma power station; and (iv) the Resettlement Policy Framework (RPF) for the management of compensation and/or resettlement issues that may arise during the expansion of the power grid in the 40 communities to be selected later on.",
"pdf_url": "/pdfs/140_779300PAD0P1280y0Box377377B00OUO090.pdf"
},
{
"document_name": "140_779300PAD0P1280y0Box377377B00OUO090",
"document_title": "Burkina Faso - Electricity Sector Support Project (ESSP)",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 41,
"mention_text": "2008 census",
"corrected_name": "2008 census",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support the percentage of female population.",
"context_sentence": "The
percentage of
female is 51. 7% per
the 2008 census. | |**Indicator Two**: Peak demand
met in each city when standing
alone (islanding)
Fada
Ouahigouya||
%|
15.",
"pdf_url": "/pdfs/140_779300PAD0P1280y0Box377377B00OUO090.pdf"
},
{
"document_name": "140_779300PAD0P1280y0Box377377B00OUO090",
"document_title": "Burkina Faso - Electricity Sector Support Project (ESSP)",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 52,
"mention_text": "databases from energy audits",
"corrected_name": "databases from energy audits",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Support for financing and planning of sustainability activities.",
"context_sentence": "1**_ **-** _**Institutional and Capacity Strengthening**_ _. _ To ensure the sustainability of these activities and enhance the actions already undertaken under the earlier project, the subcomponent will finance the acquisition of testing and certification equipment, audits and development of databases from energy audits, energy consumption surveys, site visits, and analyses of electricity consumption bills. The analyses, demonstrations and pilot tests would help bring about behavioral changes in electricity utilization, and demonstrate potential of energy savings to commercial and residential customers.",
"pdf_url": "/pdfs/140_779300PAD0P1280y0Box377377B00OUO090.pdf"
},
{
"document_name": "140_779300PAD0P1280y0Box377377B00OUO090",
"document_title": "Burkina Faso - Electricity Sector Support Project (ESSP)",
"corpus_category": "World Bank Project Appraisal Documents (PADs)",
"page_number": 52,
"mention_text": "energy consumption surveys",
"corrected_name": "energy consumption surveys",
"specificity": "vague",
"downstream_impact_channel": "Program Design",
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{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 7,
"mention_text": "globally modeled data on water salinity",
"corrected_name": "globally modeled data on water salinity",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used to assess the impact of water salinity on agricultural productivity.",
"context_sentence": "Impacts on crop production are seen at relatively low levels of salinity and tend to rise at a near linear rate as water salinity rises. A satellite-based measure of agricultural productivity, combined with estimated elasticities of agricultural yields to saline surface water, and globally modeled data on water salinity reveal significant annual losses in food production. A simulation of global food losses due to Salt of the Earth 1",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 7,
"mention_text": "satellite-based measure of agricultural productivity",
"corrected_name": "satellite-based measure of agricultural productivity",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used to assess agricultural productivity and its impact on food production.",
"context_sentence": "Impacts on crop production are seen at relatively low levels of salinity and tend to rise at a near linear rate as water salinity rises. A satellite-based measure of agricultural productivity, combined with estimated elasticities of agricultural yields to saline surface water, and globally modeled data on water salinity reveal significant annual losses in food production. A simulation of global food losses due to Salt of the Earth 1",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 9,
"mention_text": "georefer enced datasets",
"corrected_name": "georeferenced datasets",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Primary empirical input for estimating impact on agricultural productivity.",
"context_sentence": "**Data** To estimate the impact of water salinity on global agricultural productivity, we use several georefer enced datasets related to water quality, agricultural yields, land cover, and weather. A description of these datasets can be found below and summary statistics are provided in Table 1.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 9,
"mention_text": "Water Quality Data on electrical conductivity",
"corrected_name": "Water Quality Data on electrical conductivity",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used to measure salinity in water.",
"context_sentence": "A description of these datasets can be found below and summary statistics are provided in Table 1. Water Quality Data on electrical conductivity (EC) was used to measure salinity in water. EC measures the ability of an electrical charge to pass through water.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
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{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 10,
"mention_text": "GEMStat data from UNGEMS",
"corrected_name": "GEMStat data from UNGEMS",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Primary dataset for global analysis.",
"context_sentence": "Water samples are taken at specific time intervals (monthly or quarterly), and then sent to regional laboratories for analysis. Finally, the GEMStat data from UNGEMS is used for the global analysis. This data is collected by the United National Environmental Programme (UNEP) and is self-reported by participating countries.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
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{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 10,
"mention_text": "GEMStat",
"corrected_name": "GEMStat",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a data source for environmental monitoring.",
"context_sentence": "Three distinct datasets were used to measure surface water quality. These datasets are from the Mekong River Basin Commission (MRC), the Central Water Commission (CWC) of India, and GEMStat of the United Nations Global Environmental Monitoring system for freshwater (UNGEMs). Table 2 summarizes these datasets.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 10,
"mention_text": "GEMstats",
"corrected_name": "GEMstats",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of pollutant data documentation.",
"context_sentence": "It contains over 3 million observations for 224 water quality parameters in 71 countries. EC is one of the most documented pollutant in GEMstats with 167,914 observations of EC in 1,719 stations and 71 coun tries. As with the Indian CWC data, frequency of observations varies significantly across countries and monitoring stations.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 10,
"mention_text": "Mekong River Basin Commission (MRC)",
"corrected_name": "datasets from the Mekong River Basin Commission (MRC)",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a source of datasets for contextual information.",
"context_sentence": "Three distinct datasets were used to measure surface water quality. These datasets are from the Mekong River Basin Commission (MRC), the Central Water Commission (CWC) of India, and GEMStat of the United Nations Global Environmental Monitoring system for freshwater (UNGEMs). Table 2 summarizes these datasets.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 10,
"mention_text": "Indian CWC data",
"corrected_name": "Indian CWC data",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used for comparative context in frequency of observations.",
"context_sentence": "EC is one of the most documented pollutant in GEMstats with 167,914 observations of EC in 1,719 stations and 71 coun tries. As with the Indian CWC data, frequency of observations varies significantly across countries and monitoring stations. Some monitoring stations have multiple observations per month while others have seasonal or annual observations (e.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 11,
"mention_text": "Mekong River Basin Commission dataset",
"corrected_name": "Mekong River Basin Commission dataset",
"specificity": "named",
"downstream_impact_channel": "Operational Logistics",
"data_use_impact": "Provides context for the location of monitoring stations.",
"context_sentence": "**FIGURE 1. Mekong River Basin Commission Monitoring Station Locations** _Notes:_ Map shows location of water quality monitoring stations in Mekong River Basin Commission dataset. Our time-varying NPP data comes from the moderate resolution imaging spectroradiometer (MODIS), whose data starts in 2000.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 11,
"mention_text": "moderate resolution imaging spectroradiometer (MODIS)",
"corrected_name": "moderate resolution imaging spectroradiometer (MODIS)",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Source of satellite data for time-varying NPP analysis.",
"context_sentence": "Mekong River Basin Commission Monitoring Station Locations** _Notes:_ Map shows location of water quality monitoring stations in Mekong River Basin Commission dataset. Our time-varying NPP data comes from the moderate resolution imaging spectroradiometer (MODIS), whose data starts in 2000. We use the annual MOD17A3 measures from 2000-2013 generated by the Numerical Terradynamic Simulation Group (NTSG) at the University of Montana (Zhao _et al_ .",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
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{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 11,
"mention_text": "land cover dataset",
"corrected_name": "land cover dataset",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Primary dataset for spatial analysis.",
"context_sentence": "~~ [3] Our interest is in estimating NPP from cropland, as opposed to natural forests or vegetation. To do so, we make use of a new and unique land cover dataset developed by the European Space Agency’s (ESA) Salt of the Earth 5",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
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{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 12,
"mention_text": "Global Map of Irrigated Areas",
"corrected_name": "Global Map of Irrigated Areas",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Primary dataset for irrigation analysis in the Mekong River basin and globally.",
"context_sentence": "Only districts for which greater than 50 percent of agricultural land is irrigated by surface irrigation is included in the analysis (see Figure YY). For the Mekong River basin analysis, as well as the global analysis, data on irrigation was obtained from Food and Agriculture Organization’s Global Map of Irrigated Areas (GMIA) version 5. 0 ~~.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 12,
"mention_text": "United Nations Land Cover Classification System",
"corrected_name": "United Nations Land Cover Classification System",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Provides a standardized framework for classifying land cover data.",
"context_sentence": "Climate Change Initiative. This dataset provides information on 37 land cover classes based on the United Nations Land Cover Classification System at a 300m resolution. The data relies on state-of-art reprocessing of four different satellite missions (MERIS, SPOT-VGT, AVHRR, and PROBA-V) [4] ~~.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 12,
"mention_text": "GMIA",
"corrected_name": "Global Map of Irrigated Areas",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Provides global irrigation data for spatial analysis.",
"context_sentence": "Only districts for which greater than 50 percent of agricultural land is irrigated by surface irrigation is included in the analysis (see Figure YY). For the Mekong River basin analysis, as well as the global analysis, data on irrigation was obtained from Food and Agriculture Organization’s Global Map of Irrigated Areas (GMIA) version 5. 0 ~~.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 12,
"mention_text": "data on irrigation by district",
"corrected_name": "data on irrigation by district",
"specificity": "descriptive",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Provides contextual information on irrigation patterns.",
"context_sentence": "This ensures that the EC measured in the surface water is like the EC in the water which is feeding the crops. In India, data on irrigation by district was obtained from the Ministry of Agriculture and the International Crops Research Institute for the Semi-Arid Tropics. Only districts for which greater than 50 percent of agricultural land is irrigated by surface irrigation is included in the analysis (see Figure YY).",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 12,
"mention_text": "Irrigation Data Gridcells",
"corrected_name": "Irrigation Data Gridcells",
"specificity": "descriptive",
"downstream_impact_channel": "Program Design",
"data_use_impact": "Used to identify areas for agricultural irrigation analysis.",
"context_sentence": "For this reason, we test a range of thresholds, with the main analysis using a 30% cropland minimum threshold to be included in the analysis, and robustness checks using a 75% and 90% threshold. Irrigation Data Gridcells included in this analysis are restricted to those where it is believed that agriculture is irri gated. This ensures that the EC measured in the surface water is like the EC in the water which is feeding the crops.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 13,
"mention_text": "Weather Data",
"corrected_name": "Weather Data",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Provides context for weather-related analysis.",
"context_sentence": ", 2010). Weather Data Our weather data comes from Matsuura and Willmott (2001). This gridded dataset contains monthly observations of precipitation and average temperature at the 0.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 14,
"mention_text": "ESA dataset",
"corrected_name": "ESA dataset",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used to filter gridcells based on cropland percentage.",
"context_sentence": "As discussed in the prior section, several restrictions are placed on the dataset to ensure accuracy. First, only gridcells with at least 30 percent cropland according to the ESA dataset are included. In robustness checks, this threshold is changed to 75 percent and 90 percent.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 15,
"mention_text": "GEMStat data",
"corrected_name": "GEMStat data",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical input for result presentation.",
"context_sentence": "This threshold is exceeded by approximately 5 percent of observations in both India and the Mekong River basin. Results using the GEMStat data are shown in 4c. Globally, it is found that when EC exceeds 100 mS/m, yields decline by 11.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
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{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 18,
"mention_text": "GEMStat database",
"corrected_name": "GEMStat database",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Primary empirical input for regression analysis.",
"context_sentence": "314 0. 314 _Notes:_ Table shows results from estimating equation 1 for the global sample using the GEMStat database via ordinary least squares. Each column is from a separate regression.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 19,
"mention_text": "GEMStat database",
"corrected_name": "GEMStat database",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited for its global coverage limitations in data availability.",
"context_sentence": "Using this information, we perform a simulation to quantify the magnitude of agricultural losses that saline water causes. The GEMStat database, though having wide global coverage, does not cover all land where there is agricultural production. Notably, big gaps in the data are present in China and Sub Saharan Africa, two major agricultural areas where high salinity might be a problem (Figure 3).",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
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{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 21,
"mention_text": "GEMStat data",
"corrected_name": "GEMStat data",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used for spatial mapping and overlay analysis in figures.",
"context_sentence": "Global 0 –2 –4 –6 –8 –10 –12 –14 –16 –18 –20 30 percent 75 percent 90 percent Cropland threshold _Notes:_ Figure shows results from estimating equation 1 in 3 different regions. Figure a (left) if in the Mekong River Basin, figure b (center) is in India, and figure c (right) is global using GEMStat data. In each region, coefficients from three different regressions are shown.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 21,
"mention_text": "water quality data from GEMStat",
"corrected_name": "water quality data from GEMStat",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical input for estimating yield losses due to electrical conductivity.",
"context_sentence": "**FIGURE 5. Flexible Estimation of Yield Losses Due To Electrical Conductivity** 0 –5 –10 –15 –20 –25 –30 –35 –40 –45 –50 0-40 40-80 80-120 120-160 160-200 >200 EC (mS/m) 30 percent 75 percent 90 percent 100 90 80 70 60 50 40 30 20 10 0 _Notes:_ Figure shows results from estimating equation 1 using water quality data from GEMStat. The three regressions vary the restrictions on the share of cropland within a gridcell needed to be included in the regression.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 22,
"mention_text": "EC dataset",
"corrected_name": "EC dataset",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used to estimate annual losses in agricultural productivity.",
"context_sentence": "Consequently, the results can be interpreted as conservative predictions of the risk of high salinity. Using the coefficients shown in 5 (based on 30 percent cropland), annual changes in NPP, and the EC dataset described above, we estimate annual losses in agricultural productivity due to EC for each 0. 5x0.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 23,
"mention_text": "net primary productivity data",
"corrected_name": "net primary productivity data",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used as an input for estimating losses.",
"context_sentence": "Estimated Mean Annual Kilocalorie Equivalent Loss Due To Saline Water, 2001–2013** _Notes:_ Figure shows estimated average annual kilocalorie equivalent losses across space for the years 2001-2013. Losses are estimated based on the coefficients in 5, predicted EC from Désbureaux et al (2019) and net primary productivity data from Zhao et al. , 2005.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 24,
"mention_text": "normalized difference vegetation index",
"corrected_name": "normalized difference vegetation index",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Referenced as a related measure for comparison.",
"context_sentence": "2. A closely related measure to NPP is the normalized difference vegetation index (NDVI). NDVI when combined with growing season data of different crops can also provide a measure of plant health and physical productivity that is directly related to NPP.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 24,
"mention_text": "global land cover data",
"corrected_name": "global land cover data",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Essential input for estimating growing season data and NDVI measurement.",
"context_sentence": "2004), and in general, NDVI is considered a good predictor for NPP. However, without knowing the time-varying distribution of crops underlying the global land cover data, we cannot accurately estimate the corresponding growing season data and therefore, cannot measure the maximum NDVI during the growing season. 18 Salt of the Earth",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 24,
"mention_text": "growing season data of different crops",
"corrected_name": "growing season data of different crops",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used to assess plant health and productivity.",
"context_sentence": "A closely related measure to NPP is the normalized difference vegetation index (NDVI). NDVI when combined with growing season data of different crops can also provide a measure of plant health and physical productivity that is directly related to NPP. For instance, MODIS-NPP is determined using NDVI along with other factors (Running et al.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
},
{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 25,
"mention_text": "AQUASTAT Main Database",
"corrected_name": "AQUASTAT Main Database",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Referenced as a data source for water-related statistics.",
"context_sentence": "2016. AQUASTAT Main Database, FAO, Rome. http://www.",
"pdf_url": "/pdfs/1aae90deb505c7be16858e4101be5c1fcdfcb426.pdf"
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{
"document_name": "1aae90deb505c7be16858e4101be5c1fcdfcb426",
"document_title": "Salt of the Earth",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 25,
"mention_text": "MOD17 dataset",
"corrected_name": "MOD17 dataset",
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{
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"context_sentence": "Generally, refugees are not more exposed to [existing violence and crime. According to protection data collected through Project 21](https://response. reliefweb.",
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{
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"context_sentence": "0** Note: ‘-‘ indicates that the household does not receive income from this source Specific features of the village SAM and equilibrium model appear in Table 3, in splitting income from labor and irrigated land between shadow income [4] and above shadow income. The household survey data reveal imperfect labor and land markets. Households are involved in a variety of off-farm activities with different wages.",
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"context_sentence": "Of these village markets, only animal traction has an endogenous village price in the model. The SAM indicates that only limited use is made of the tractors. This under-utilization of available tractors is therefore modeled through fixed prices for tractor services, and tractor endowments adjusting to demand (‘unemployment’ closure).",
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"context_sentence": "The only exception is the village market for animal traction, which is balanced through an endogenous village price. Household production and consumption decisions are calibrated on the household survey data, resulting in household-specific demand and supply functions. 3 Household production response to trade liberalization Following the analytical framework of Winters (2002) we analyze two pathways through which trade affects households: prices and employment.",
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"data_use_impact": "Used to analyze remittance patterns in household income.",
"context_sentence": "Accounting for reduced consumption demand with an increase in migration thus increases both the gains from trade liberalization as the widening of income differences. 6 The household survey data only include remittances received from migrants, we thus lack data on the actual income received by the migrants. The remittances are net of the consumption expenditures by the migrants made while being away.",
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"data_use_impact": "Cited as empirical evidence for surplus labour and productivity analysis.",
"context_sentence": "(1999). “Surplus labour and productivity in Chinese agriculture: evidence from household survey data” in _The Journal of Development Studies,_ Vol. 35, No.",
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"mention_text": "data collected in other villages",
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"context_sentence": "An interesting avenue for answering this question it to use the model as a laboratory for understanding mechanisms and for formulating testable hypotheses on the impact of trade on household incomes and production decisions. Using data collected in other villages, these hypotheses could then be tested to see whether the findings from the village equilibrium model can be generalized. 6 References Benjamin, D.",
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"context_sentence": "The constraints include lack of access to credit and lack of access to information on the skills and techniques required to produce commercial crops. The paper is based on information from the household survey and a recent diagnostic study of constraints to trade in Rwanda. It provides a number of indicative simulations that show the potential for substantial reductions in poverty from initiatives that reduce trade costs, enhance the quality of exportable goods and facilitate movement out of subsistence into commercial activities.",
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"context_sentence": "We assess the impact on incomes and poverty of successful switching of the poorest farmers into higher return economic activities. Our analysis, based on information from the 2001 household survey, suggests that all three mechanisms have a very strong potential for reducing poverty in Rwanda, with 2",
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"context_sentence": "We investigate here the role of trade costs, among other key determinants, in allowing individuals to escape poverty in Rwanda. To do this, we estimate the determinants of the probability of not being poor in Rwanda through a probit regression, using the Rwanda Household Living Conditions Survey (EICV). The EICV was carried out between October 1999 and July 2001 and it contains community characteristics indicators together with information from 6,420 households distributed among Rwanda’s 12 provinces.",
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"context_sentence": "# WPS3784 headcount index in rural Rwanda stands at 47 percent, against only 13 percent in urban areas [2] (Table 1). The EICV also shows that poverty varies substantially across provinces. The poverty incidence is highest in Gikongoro (57 percent) and lowest in Kigali Ville (10 percent).",
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"context_sentence": "# WPS3784 headcount index in rural Rwanda stands at 47 percent, against only 13 percent in urban areas [2] (Table 1). The EICV also shows that poverty varies substantially across provinces.",
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"document_name": "782bb83b25a51b67205e6293a97e64528bb9b34f",
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"context_sentence": "We follow Deaton (1989, 1997) whereby the short-run effects of price changes are directly proportional to income shares. In particular, holding all the other components of household income constant and assuming that coffee produced in Rwanda is entirely exported (there is almost no domestic consumption of coffee), the direct short-term welfare impact of a price shock on household _i_ is given by: Δ _Y_ ) _i_ = φ _icoffee_ - ( Δ _Pcoffeecoffee_ ) (2) Δ _YY_ ) _i_ = φ _icoffee_ - ( Δ _PPcoffeecoffee_ ( ) = φ _coffee_ - ( ) 0 _i_ _i_ _P_ 0 _coffee_ Where _Y_ 0 is initial income of household _i_, Δ _Y_ is the change in income following a change in the price of coffee _,_ [φ] _icoffee_ is the share of coffee income (sales) in total household income as provided by the EICV survey and _P_ 0 _coffee_ the initial average producer price of coffee _. _ Table 3 shows the different sources of income for Rwandan households, including income derived from coffee sales.",
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"context_sentence": "Our task is to estimate the mean impact of participation (“the mean treatment effect on the treated”), given by: ## TT = E ( Δ Z, D = )1 = E { ( Y 1 − Y 0 ) Z, D = 1 }= E ( Y 1 Z, D = )1 − E ( Y 0 Z, D = )1 (4) The parameter _TT_ estimates the average impact among participants. However, while observed data on _[Y]_ 1 [ allows a computation of ] _E_ ( _Y_ 1 _Z_, _D_ = )1, the counterfactual mean, _E_ ( _Y_ 0 _Z_, _D_ = )1, cannot be directly estimated, hence the recourse to matching estimators. Denoting P, the propensity score, i.",
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"context_sentence": "This translates into a difference in income of between 23 and 30 percent (table 11). [13] If the subsistence farmers identified as having a propensity to produce coffee (40 percent of our sample) actually shifted into coffee production then the national poverty headcount index would fall by more then 25 percent and the poverty gap would drop by 12-13 percent. 12 Access to credit did not appear significant in the regression, but this is very likely to relate to how this variable was defined in the questionnaire.",
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"context_sentence": "# WPS3784 **Table 1. Poverty Incidence and Poverty Gap in Rwanda** **Headcount Index (%)** **Poverty Gap** **P0** **P1** National 42. 92 0.",
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"context_sentence": "93% 4. 85% Source: Computed by authors from EICV data **Table 10. Determinants of the Probability of Being a Coffee Farmer (propensity score)** **Parameter** **DF Estimate** **Standard** **Error** **Wald 95% Confidence** **Limits** **Chi-** **Square** **Pr > ChiSq** Intercept 1 -3.",
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"data_use_impact": "Reanalysis of data for creating a MAC curve.",
"context_sentence": "They develop a simple optimization model to factor implementation speed in the analysis and avoid this problem. Here, we perform a proof of concept for these ideas, reanalyzing the data used at the World Bank to create a MAC curve for Brazil with MACTool (de Gouvello, 2010). We test the optimization model using proxies and indirect methods 6",
"pdf_url": "/pdfs/7b7a181a30a3e4aaa735d1acbabc3c26bbfc044f.pdf"
},
{
"document_name": "7b7a181a30a3e4aaa735d1acbabc3c26bbfc044f",
"document_title": "Long-term mitigation strategies and marginal abatement cost curves : a case study on Brazil",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 8,
"mention_text": "data from MACTool",
"corrected_name": "data from MACTool",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used for modeling emission reduction scenarios.",
"context_sentence": "Figure 3: In the data from MACTool, many emission reduction scenarios (+) may be approximated by a piecewise-linear function (red curve). The slope of the first piece provides the diffusion speed for that measure.",
"pdf_url": "/pdfs/7b7a181a30a3e4aaa735d1acbabc3c26bbfc044f.pdf"
},
{
"document_name": "7b7a181a30a3e4aaa735d1acbabc3c26bbfc044f",
"document_title": "Long-term mitigation strategies and marginal abatement cost curves : a case study on Brazil",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 10,
"mention_text": "data collected at the World Bank",
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"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical input for constructing a MAC curve.",
"context_sentence": "In some other cases (b), the diffusion speed cannot be assessed (either it was not investigated, or the measure can reach its full potential in less than one year). We use data collected at the World Bank to build a MAC curve (using MACTool) during a case study on Brazil (de Gouvello, 2010). The MAC curve provides a list of emission-reduction measures, their marginal abatement cost, and the potential achievable by 2030.",
"pdf_url": "/pdfs/7b7a181a30a3e4aaa735d1acbabc3c26bbfc044f.pdf"
},
{
"document_name": "7b7a181a30a3e4aaa735d1acbabc3c26bbfc044f",
"document_title": "Long-term mitigation strategies and marginal abatement cost curves : a case study on Brazil",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 19,
"mention_text": "data on emission reduction measures",
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"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Discussed as a potential data collection target in the context of the paper's findings.",
"context_sentence": "Appendix B. Information collection guidance The following proposes guidance on how data on emission reduction measures could be collected to take into account the findings of this paper. The objective is to collect data that can be used to build MAC curves as usual, and also to inform a prescriptive model.",
"pdf_url": "/pdfs/7b7a181a30a3e4aaa735d1acbabc3c26bbfc044f.pdf"
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{
"document_name": "808_final_gbvims_2021_report_english",
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"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 5,
"mention_text": "data of the Department of Statistics in\nJordan",
"corrected_name": "data of the Department of Statistics in Jordan",
"specificity": "vague",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited to support the claim about unemployment rates.",
"context_sentence": "According to CARE2021 Annual Needs Assessment, refugees expressed their beliefs that reduction in assistance – caused by underfunding humanitarian programs and the absence of one refugee approach implementation - is a strategy to persuade them to return to their countries of origin [3] . According to data of the Department of Statistics in Jordan for the third quarter of 2021, unemployment rate has reached 23. 2% (21.",
"pdf_url": "/pdfs/808_final_gbvims_2021_report_english.pdf"
},
{
"document_name": "808_final_gbvims_2021_report_english",
"document_title": "2021",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 7,
"mention_text": "statistics\nfrom the Supreme Judge Department",
"corrected_name": "statistics from the Supreme Judge Department",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited to support the claim of a decrease in registered marriages.",
"context_sentence": "More than 1 in 4 children are married before the age of 18, and nearly 1 in 10 are married before the age of 15-years. Recently released statistics from the Supreme Judge Department show a slight decrease in 2021, from 11. 8% of registered marriages in 2020 to 10.",
"pdf_url": "/pdfs/808_final_gbvims_2021_report_english.pdf"
},
{
"document_name": "99cb9cc7265604e2fc594ac4573423a77424d952",
"document_title": "销售的外部性和市场发展",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 2,
"mention_text": "survey data from Bangladesh",
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"context_sentence": "POLICY RESEARCH WORKING PAPER 2839 # I Abstract Emran and Shilpi use survey data from Bangladesh to commodity externality effects in the sale of farm present empirical evidence on externalities at household households. The vegetable markets in villages with low level sales decisions resulting from increasing returns to marketable surplus seem to be trapped in segmented marketing.",
"pdf_url": "/pdfs/99cb9cc7265604e2fc594ac4573423a77424d952.pdf"
},
{
"document_name": "99cb9cc7265604e2fc594ac4573423a77424d952",
"document_title": "销售的外部性和市场发展",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 7,
"mention_text": "household level data from Bangladesh",
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"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical input for analyzing externality effects.",
"context_sentence": "As such there is no cross commodity externalities at this stage, and it is characterized by the existence of only own externality effect. Using household level data from Bangladesh, we find significant evidence of both own and cross commodity externality effects. While there are evidence of strong own externality effects in rice markets, the cross externality effect seems to be absent.",
"pdf_url": "/pdfs/99cb9cc7265604e2fc594ac4573423a77424d952.pdf"
},
{
"document_name": "99cb9cc7265604e2fc594ac4573423a77424d952",
"document_title": "销售的外部性和市场发展",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 10,
"mention_text": "household level survey data from Bangladesh",
"corrected_name": "household level survey data from Bangladesh",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical input for testing externality effects.",
"context_sentence": "The above discussion forms the basis for the three stages of market development discussed earlier. We utilize household level survey data from Bangladesh to test for the existence of the exter nality effects and to estimate them when they are present. The choice of Bangladesh as a case study is motivated by two characteristics of its agriculture.",
"pdf_url": "/pdfs/99cb9cc7265604e2fc594ac4573423a77424d952.pdf"
},
{
"document_name": "bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3",
"document_title": "Shock waves : managing the impacts of climate change on poverty",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 6,
"mention_text": "United Nations medium variant population projections",
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"specificity": "named",
"downstream_impact_channel": "Policy & Governance",
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"context_sentence": "the United Nations medium variant population projections. Using this approach, the World Bank (2010, Figure 3.",
"pdf_url": "/pdfs/bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3.pdf"
},
{
"document_name": "bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3",
"document_title": "Shock waves : managing the impacts of climate change on poverty",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 14,
"mention_text": "cross-sectional survey data on access to media",
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"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a common data type used in multiple studies.",
"context_sentence": "Media outreach has been found to be effective at increasing contraceptive use and lowering fertility. This has been found in many studies using cross-sectional survey data on access to media (e. g.",
"pdf_url": "/pdfs/bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3.pdf"
},
{
"document_name": "bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3",
"document_title": "Shock waves : managing the impacts of climate change on poverty",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
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"mention_text": "DHS surveys",
"corrected_name": "DHS surveys",
"specificity": "named",
"downstream_impact_channel": "Needs Assessment",
"data_use_impact": "Cited to show changes in fertility rates and contraception use over time.",
"context_sentence": "A country-wide information dissemination program was implemented, along with sharply increased access to contraceptive methods. Between the DHS surveys of 2005 and 2010, the total fertility rate fell from 6. 1 to 4.",
"pdf_url": "/pdfs/bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3.pdf"
},
{
"document_name": "bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3",
"document_title": "Shock waves : managing the impacts of climate change on poverty",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 20,
"mention_text": "Global Greenhouse Gas Emissions Data",
"corrected_name": "Global Greenhouse Gas Emissions Data",
"specificity": "named",
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"data_use_impact": "Referenced for context on greenhouse gas emissions.",
"context_sentence": "3. United States Environmental Protection Agency (nd) Global Greenhouse Gas Emissions Data [http://www. epa.",
"pdf_url": "/pdfs/bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3.pdf"
},
{
"document_name": "bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3",
"document_title": "Shock waves : managing the impacts of climate change on poverty",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 23,
"mention_text": "World Economic Outlook Database",
"corrected_name": "World Economic Outlook Database",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Referenced as a source of economic data.",
"context_sentence": "2010. World Economic Outlook Database April 2006 (accessed 15 [December 2010) http://www. imf.",
"pdf_url": "/pdfs/bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3.pdf"
},
{
"document_name": "bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3",
"document_title": "Shock waves : managing the impacts of climate change on poverty",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 24,
"mention_text": "Rwanda Demographic and Health Survey 2010",
"corrected_name": "Rwanda Demographic and Health Survey 2010",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a specific survey resource for contextual reference.",
"context_sentence": "2011. Rwanda Demographic and Health Survey 2010. Preliminary Report, MEASURE DHS, ICF Macro, Calverton.",
"pdf_url": "/pdfs/bf2312c5d35ec9c9ee30f3658d5465fd5ac744d3.pdf"
},
{
"document_name": "c48720ecda01370f5bfdb64e9bb3ffa3e1fa4e71",
"document_title": "帮助有生产能力但缺乏资产的农民取得成功：一个风险融资框架",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 2,
"mention_text": "survey conducted by the Food and Agriculture Organization",
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"specificity": "descriptive",
"downstream_impact_channel": "Policy & Governance",
"data_use_impact": "Provides historical evidence of crop insurance programs' presence globally.",
"context_sentence": "The inherent instability of farm income has led governments to devise numerous agricultural income stabilization programs and policies, with crop insurance being among the most prevalent. A survey conducted by the Food and Agriculture Organization (FAO) in the early 1990s reveals that various types of crop insurance programs are present in more than 140 countries (FAO 1991). Most of them, if not all, rely heavily on government subsidies.",
"pdf_url": "/pdfs/c48720ecda01370f5bfdb64e9bb3ffa3e1fa4e71.pdf"
},
{
"document_name": "c48720ecda01370f5bfdb64e9bb3ffa3e1fa4e71",
"document_title": "帮助有生产能力但缺乏资产的农民取得成功：一个风险融资框架",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 7,
"mention_text": "Data on cocoa and banana yields",
"corrected_name": "Data on cocoa and banana yields",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Illustrative example for discussing crop yield losses.",
"context_sentence": "**Box 1. Crop yield losses and minimum capital requirements** Data on cocoa and banana yields from 1961 to 2002 in a South American country are used for the sake of illustration. Data are first detrended using a polynomial procedure.",
"pdf_url": "/pdfs/c48720ecda01370f5bfdb64e9bb3ffa3e1fa4e71.pdf"
},
{
"document_name": "c48720ecda01370f5bfdb64e9bb3ffa3e1fa4e71",
"document_title": "帮助有生产能力但缺乏资产的农民取得成功：一个风险融资框架",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 8,
"mention_text": "Detrended data on cocoa yields and banana yields",
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"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used for illustrative analysis of crop yields.",
"context_sentence": "**Box 2. Catastrophic risk adjusted crop yields and minimum capital requirements** Detrended data on cocoa yields and banana yields from 1961 to 2002 in a South American country are used for the purposes of illustration. A catastrophic event is defined here as an event occurring on average once in 20 years or less frequently.",
"pdf_url": "/pdfs/c48720ecda01370f5bfdb64e9bb3ffa3e1fa4e71.pdf"
},
{
"document_name": "c48720ecda01370f5bfdb64e9bb3ffa3e1fa4e71",
"document_title": "帮助有生产能力但缺乏资产的农民取得成功：一个风险融资框架",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 11,
"mention_text": "Detrended data on cocoa yields",
"corrected_name": "Detrended data on cocoa yields",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used to illustrate risk financing instruments.",
"context_sentence": "A C **Box 3. Risk financing instruments as market-enhancing solutions** Detrended data on cocoa yields from 1961 to 2002 in a South American country are used for the sake of illustration. The hedging costs represent the costs of self-retaining risks and/or the insurance costs, beyond the fair premium.",
"pdf_url": "/pdfs/c48720ecda01370f5bfdb64e9bb3ffa3e1fa4e71.pdf"
},
{
"document_name": "c48720ecda01370f5bfdb64e9bb3ffa3e1fa4e71",
"document_title": "帮助有生产能力但缺乏资产的农民取得成功：一个风险融资框架",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 14,
"mention_text": "Detrended data on cocoa yields",
"corrected_name": "Detrended data on cocoa yields",
"specificity": "descriptive",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used as an illustrative example in the analysis.",
"context_sentence": "**Box 4. Crop business viability** Detrended data on cocoa yields from 1961 to 2002 in a South American country are used for the sake of illustration. Without access to external capital, cocoa production would be a viable business only for large asset-base farmers given the high level of minimum capital requirements (see Box 2).",
"pdf_url": "/pdfs/c48720ecda01370f5bfdb64e9bb3ffa3e1fa4e71.pdf"
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{
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"document_title": "PII: SO 169-5150(0 1 )00077 -9",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 3,
"mention_text": "Tornqvist-Theil TFP index",
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"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as a preferred method for measuring productivity.",
"context_sentence": ", 1995). Among alternative discrete approximations to the Divisia index, the chain-linked Tornqvist-Theil TFP index is often preferred, since it is exact for the linear homogenous translog production function (Diewert, 1976). TFP is obtained by taking the difference between the growth rates of the aggregate output and input indices.",
"pdf_url": "/pdfs/d53b6cd5243a095b705dec7c9309125ae50e643a.pdf"
},
{
"document_name": "d53b6cd5243a095b705dec7c9309125ae50e643a",
"document_title": "PII: SO 169-5150(0 1 )00077 -9",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 3,
"mention_text": "Divisia input index",
"corrected_name": "Divisia input index",
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"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used as a variable in economic modeling.",
"context_sentence": "TFP is obtained by taking the difference between the growth rates of the aggregate output and input indices. where _Q/1_ is the Divisia output index, _Xl1_ the Divisia input index, and _Rit_ and _Sjr_ are the revenue shares of output _i,_ and the cost share of input _j,_ at time _t,_ respectively. For the purposes of computing TFP, annual data on all inputs, outputs and prices were collected at the district level during the period 1961-1994.",
"pdf_url": "/pdfs/d53b6cd5243a095b705dec7c9309125ae50e643a.pdf"
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{
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"document_title": "PII: SO 169-5150(0 1 )00077 -9",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 3,
"mention_text": "Divisia output index",
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"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used as a variable in economic modeling.",
"context_sentence": "TFP is obtained by taking the difference between the growth rates of the aggregate output and input indices. where _Q/1_ is the Divisia output index, _Xl1_ the Divisia input index, and _Rit_ and _Sjr_ are the revenue shares of output _i,_ and the cost share of input _j,_ at time _t,_ respectively. For the purposes of computing TFP, annual data on all inputs, outputs and prices were collected at the district level during the period 1961-1994.",
"pdf_url": "/pdfs/d53b6cd5243a095b705dec7c9309125ae50e643a.pdf"
},
{
"document_name": "d53b6cd5243a095b705dec7c9309125ae50e643a",
"document_title": "PII: SO 169-5150(0 1 )00077 -9",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 3,
"mention_text": "annual data",
"corrected_name": "annual data",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Empirical input for TFP computation.",
"context_sentence": "where _Q/1_ is the Divisia output index, _Xl1_ the Divisia input index, and _Rit_ and _Sjr_ are the revenue shares of output _i,_ and the cost share of input _j,_ at time _t,_ respectively. For the purposes of computing TFP, annual data on all inputs, outputs and prices were collected at the district level during the period 1961-1994. [2 ] Major 2 Considerable resources were invested to collect data (from the Indian Directorate of Economics and Statistics and various secondary sources) on individual crop and livestock products, inputs and prices at the district-level.",
"pdf_url": "/pdfs/d53b6cd5243a095b705dec7c9309125ae50e643a.pdf"
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{
"document_name": "d53b6cd5243a095b705dec7c9309125ae50e643a",
"document_title": "PII: SO 169-5150(0 1 )00077 -9",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 4,
"mention_text": "Tornqvist-Theil index",
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"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Provides quantitative evidence of TFP growth.",
"context_sentence": "This was followed by an input intensification period (1975-1985) when the use of fertilisers and capital inputs increased rapidly, and a post-Green Revolution period (1986-1994) when input use levelled off. Table 1 reports the estimates of the Tornqvist-Theil index of TFP growth. Punjab sustained productivity 3 As far as possible, the prices used to value inputs and outputs were those faced by the producers.",
"pdf_url": "/pdfs/d53b6cd5243a095b705dec7c9309125ae50e643a.pdf"
},
{
"document_name": "d53b6cd5243a095b705dec7c9309125ae50e643a",
"document_title": "PII: SO 169-5150(0 1 )00077 -9",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
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"mention_text": "Labour Index",
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"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Referenced as a data index for context.",
"context_sentence": ", ... , • - -•- - Labour Index ~ 200 ....... §< .",
"pdf_url": "/pdfs/d53b6cd5243a095b705dec7c9309125ae50e643a.pdf"
},
{
"document_name": "d53b6cd5243a095b705dec7c9309125ae50e643a",
"document_title": "PII: SO 169-5150(0 1 )00077 -9",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 5,
"mention_text": "Capital Index",
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"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Referenced as a data variable or index.",
"context_sentence": "~~>• ..... - - -• - - - Capital Index u ...... .......",
"pdf_url": "/pdfs/d53b6cd5243a095b705dec7c9309125ae50e643a.pdf"
},
{
"document_name": "d53b6cd5243a095b705dec7c9309125ae50e643a",
"document_title": "PII: SO 169-5150(0 1 )00077 -9",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 7,
"mention_text": "Divisia input index",
"corrected_name": "Divisia input index",
"specificity": "vague",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Used to attribute output growth to factor accumulation.",
"context_sentence": "The increase in capital's share despite capital deepening could be either because of _CY_ that is much greater than 1 (as noted in footnote 9) or because of labour-saving technical change. In the latter case, since capital is the more rapidly growing input and its weight in the Divisia input index is higher than it would be in the absence of technical change, too much of the output growth is attributed to factor accumulation, and too little to the residual (i. e.",
"pdf_url": "/pdfs/d53b6cd5243a095b705dec7c9309125ae50e643a.pdf"
},
{
"document_name": "d53b6cd5243a095b705dec7c9309125ae50e643a",
"document_title": "PII: SO 169-5150(0 1 )00077 -9",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 7,
"mention_text": "Tornqvist-Theil index",
"corrected_name": "Tornqvist-Theil index",
"specificity": "named",
"downstream_impact_channel": "Knowledge Production",
"data_use_impact": "Cited as an example of a chain-linked Divisia index for aggregation.",
"context_sentence": "Rodrik (1997) uses the primal decomposition approach to make the same argument about the difficulty of measuring biased technical change in the context of the east Asian economies. 13 In practice, any chain-linked Divisia index (not just the Tornqvist-Theil index) that uses observed factor shares to aggregate inputs suffers from this problem. Mathematically, the bias arises because of the path-dependent properties of the Divisia index as a line integral (Hsieh, 1998).",
"pdf_url": "/pdfs/d53b6cd5243a095b705dec7c9309125ae50e643a.pdf"
},
{
"document_name": "d53b6cd5243a095b705dec7c9309125ae50e643a",
"document_title": "PII: SO 169-5150(0 1 )00077 -9",
"corpus_category": "World Bank Policy Research Working Papers (PRWPs)",
"page_number": 7,
"mention_text": "Divisia index",
"corrected_name": "Divisia index",
"specificity": "vague",
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"data_use_impact": "Cited as a theoretical concept for aggregation issues.",
"context_sentence": "Rodrik (1997) uses the primal decomposition approach to make the same argument about the difficulty of measuring biased technical change in the context of the east Asian economies. 13 In practice, any chain-linked Divisia index (not just the Tornqvist-Theil index) that uses observed factor shares to aggregate inputs suffers from this problem. Mathematically, the bias arises because of the path-dependent properties of the Divisia index as a line integral (Hsieh, 1998).",
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"context_sentence": "[15 ] Assuming a certain _CY,_ and using initial factor shares (in year 0) and growth rates of factor deepening (between year 0 and _t),_ the differential equation for factor share changes (Eq. (4)) can be solved to estimate what factor shares at time _t_ would have been in the absence of 14 Stated differently, given time series data for a single economy with a classical aggregate production function, one finds that the same time series could have been generated by an alternative production function having an arbitrary _C5_ or bias at the observed points. In addition, if the underlying production function were non-homothetic, it may be possible to assign an arbitrary elasticity of substitution and the bias of technical change, and explain the observed time series solely in terms of scale bias.",
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"context_sentence": "Second, the bias is greater for lower elasticities of substitu 16 This correction procedure is analogous to the approach that has been used to measure the degree of biased technical change (Binswanger, 1974; Hayami and Ruttan, 1985). The approach has been to (l) measure the elasticity of substitution using cross-sectional data and (2) based on these parameters, measure the extent to which the factor shares would have changed had the factor prices remained constant. This approach, although the authors do not state it explicitly, also circumvents the identification problem by making reasonable assumptions about the value of _a_ in the underlying production function.",
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"context_sentence": "Corrected TFP estimates also show that, contrary to the trends observed in the conventional estimates, there has been a marked decline in the productivity since the Green Revolution, raising concerns about the sustainability of irrigated agricultural systems. More generally, in this paper, we have used the Tornqvist-Theil index as an example to illustrate the problem with conventional growth accounting in the presence of biased technical change. In practice, any chain-linked Divisia index that uses observed factor shares to aggregate the inputs needs to be corrected if there is a likelihood that technical change has been biased towards one or more factors.",
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"context_sentence": "Policy Research Working Paper 7250 ### **Abstract** Ghana is experiencing its third gold rush, and this paper sheds light on the socioeconomic impacts of this rapid expansion in industrial production. Using a rich dataset consisting of geocoded household data combined with detailed information on gold mining activities, the authors conduct two types of difference-in-differences estimations that provide complementary evidence. The first is a local-level analysis that identifies an economic footprint area very close to a mine, and the second is a district-level analysis that captures the fiscal channel.",
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"context_sentence": "Mining is also associated with more economic activity measured by nightlights (Benshaul-Tolonen, 2019; Mamo et al, 2019). Kotsadam and Tolonen (2016) use DHS data from Africa, and find that mine openings cause women to shift from agriculture to service production and that women become more likely to work for cash and year-round as opposed to seasonally. Continuing this analysis, Benshaul Tolonen (2018) explores the links between mining and female empowerment in eight gold producing countries in East and West Africa, including Ghana.",
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"context_sentence": "[1] We hypothesize that increased access to prenatal care is one of the mechanisms behind the increased survival rate. --- [1] In the 2010 Ghana population census average district size is 112,000",
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"context_sentence": "We complete this data with exact --- [4] The distances are radii from mine center point, and form concentric circles around the mine. [5] The DHS and the GLSS data are representative at the regional level, and not at the district level. Since the geographic location data from MineAtlas (2013), where satellite imagery shows the actual mine boundaries, which allows us to identify and update the center point of each mine.",
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{
"document_name": "ghana_gold_mining",
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"context_sentence": "They were surveyed in 1993, 1998, 2003, and 2008, [6] and live in 1,623 survey clusters. Since the DHS surveys focus on women, the surveys of women will be the main source of data. However, we also use the surveys of men, which give us data from the same four survey years, but with a total number of --- [6] The first mines were opened in 1990, prior to the first household survey.",
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"context_sentence": "See Appendix table 1 for definition of outcome variables. We complement the analysis with household data from the GLSS collected in the years—1998– 99, 2004–05, and 2012–13. These data are a good complement to the DHS data, because they",
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"context_sentence": "In a difference-in-differences setting, it is important that the sample is balanced, assuming that the treatment and control groups are on similar trajectories. Table 2 shows the summary statistics for the women’s surveys across four different groups, close and far away, and before and during the mine’s production phase. Columns 1 and 3 show mean values of the population that live far away from mines, before and during mining respectively.",
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"context_sentence": "All these estimates are, however, insignificant. **Table 3 Observable characteristics in the DHS individual data** non- ever currently ever total any schooling 16",
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"context_sentence": "_Note:_ Figure 4 shows the main treatment coefficients using the baseline estimation strategy (with DHS individuallevel data; see table 4 for more information), but with different distance cutoffs (10 km, 20 km, 30 km, 40 km, and 50 km). *** p<0.",
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{
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"mention_text": "DHS individual-level data",
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"context_sentence": "_Note:_ Figure 5 shows the main treatment coefficients ( _active*mine_ ) using the baseline estimation strategy (with DHS individual-level data; see table 4 for more information) in the top panel, but with different cutoffs (10 km, 20 km, 30 km, 40 km, and 50 km). *** p<0.",
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"context_sentence": "3 Distributional effects on wealth and inequality** Table 9 presents the effects of mining on asset wealth and on asset wealth inequality. Wealth data are available in the form of a wealth index, but only for the two last DHS surveys. Following Fenske (2015) and Flatø and Kotsadam (2014), we calculate inequality by means of a Gini coefficient (recoding the wealth variable to be positive only, and using the command 13 It is also possible that mining companies compete with households for electricity if supply cannot be increased in the short run.",
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"context_sentence": "**6. 4 Bottom 40% of the population** To understand the welfare effects of the bottom 40 percent of the population in the income scale, we split the sample according to the wealth score provided by DHS. Given the data structure, which is repeated cross-section, we cannot follow a particular household that was identified as belonging to the bottom 40 percent in the initial time period.",
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"context_sentence": "**6. 6 Employment and wages using the GLSS** The DHS data do not provide detailed information regarding how much an individual earns for work, or her wage rate, but the GLSS does collect such data. First, we try to replicate the results estimated with the DHS data.",
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"context_sentence": "**6. 6 Employment and wages using the GLSS** The DHS data do not provide detailed information regarding how much an individual earns for work, or her wage rate, but the GLSS does collect such data. First, we try to replicate the results estimated with the DHS data.",
"pdf_url": "/pdfs/ghana_gold_mining.pdf"
},
{
"document_name": "ghana_gold_mining",
"document_title": "Gold Mining Spillovers in Ghana (Benshaul-Tolonen 2019)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 32,
"mention_text": "GLSS",
"corrected_name": "GLSS",
"specificity": "named",
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"context_sentence": "**Table 11 Using GLSS: Employment on extensive and intensive margin and wages** (6) miner (5) service and sales (4) agriculture (3) hours worked per week (1) worked last year (2) work 7 days Panel A: Women _1. baseline_ active*mine -0.",
"pdf_url": "/pdfs/ghana_gold_mining.pdf"
},
{
"document_name": "ghana_gold_mining",
"document_title": "Gold Mining Spillovers in Ghana (Benshaul-Tolonen 2019)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 33,
"mention_text": "DHS data",
"corrected_name": "DHS data",
"specificity": "named",
"downstream_impact_channel": "Evidence",
"data_use_impact": "Cited to compare estimates and their statistical significance.",
"context_sentence": "The coefficients do not change much, even if some magnitudes become bigger and the estimates more significant. However, as in the results using DHS data, these estimates are not precisely measured – few are statistically significant because the standard errors appear large. Women are 7.",
"pdf_url": "/pdfs/ghana_gold_mining.pdf"
},
{
"document_name": "ghana_gold_mining",
"document_title": "Gold Mining Spillovers in Ghana (Benshaul-Tolonen 2019)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 34,
"mention_text": "GLSS",
"corrected_name": "GLSS",
"specificity": "named",
"downstream_impact_channel": "Background Reference",
"data_use_impact": "Cited as a source for household income and expenditure data.",
"context_sentence": "This confirms that, among those who spend anything on electricity, they spend more on it in mining communities. **Table 12 Using GLSS: Household income and expenditure** --- [17] Additional results for recreation and transport and communication are available upon request. The expenditure (1) (2) (3) (4) (5) (6) (7) (8) (9) ln ln ln ln household level ln expenditure wages wages wages pc total health hh all women men exp.",
"pdf_url": "/pdfs/ghana_gold_mining.pdf"
},
{
"document_name": "helping_hands_ukraine",
"document_title": "Helping Hands: Ukrainian Refugee Integration Report",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "Regional Refugee Response Plan (RRP)",
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"specificity": "named",
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"context_sentence": "As of the end of 2023, 5. 9 million refugees from Ukraine were recorded across Europe, close to 2 million of whom are in the countries covered by the [Regional Refugee Response Plan (RRP)](https://data. unhcr.",
"pdf_url": "/pdfs/helping_hands_ukraine.pdf"
},
{
"document_name": "helping_hands_ukraine",
"document_title": "Helping Hands: Ukrainian Refugee Integration Report",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "Multi-Sectoral Needs Assessments (MSNA)",
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"specificity": "named",
"downstream_impact_channel": "Research",
"data_use_impact": "Cited as a structured assessment to understand risks and vulnerabilities.",
"context_sentence": "org/en/documents/details/105903) [5] . To better understand their evolving situation, unpack risks and vulnerabilities and inform planning across sectors, Multi-Sectoral Needs Assessments (MSNA) were conducted under the RRP between June and September 2023 by UNHCR’s Regional Bureau for Europe and its Inter-Agency partners. This publication focuses on the results for livelihoods and socio-economic inclusion and attempts to draw conclusions based on survey data of 11,496 households (and 26,857 individuals) living in Bulgaria, the Czech Republic, Hungary, the Republic of Moldova, Poland, Romania, and Slovakia.",
"pdf_url": "/pdfs/helping_hands_ukraine.pdf"
},
{
"document_name": "helping_hands_ukraine",
"document_title": "Helping Hands: Ukrainian Refugee Integration Report",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "survey data of 11,496 households",
"corrected_name": "survey data of 11,496 households",
"specificity": "descriptive",
"downstream_impact_channel": "Analysis",
"data_use_impact": "Used to analyze livelihoods and socio-economic inclusion.",
"context_sentence": "To better understand their evolving situation, unpack risks and vulnerabilities and inform planning across sectors, Multi-Sectoral Needs Assessments (MSNA) were conducted under the RRP between June and September 2023 by UNHCR’s Regional Bureau for Europe and its Inter-Agency partners. This publication focuses on the results for livelihoods and socio-economic inclusion and attempts to draw conclusions based on survey data of 11,496 households (and 26,857 individuals) living in Bulgaria, the Czech Republic, Hungary, the Republic of Moldova, Poland, Romania, and Slovakia. ### **Socio-economic** **inclusion – key** **findings** **Refugee households demonstrate a high degree** **of economic vulnerability** The MSNA survey data demonstrates that refugee households from Ukraine are characterized by a high degree of economic vulnerability.",
"pdf_url": "/pdfs/helping_hands_ukraine.pdf"
},
{
"document_name": "helping_hands_ukraine",
"document_title": "Helping Hands: Ukrainian Refugee Integration Report",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "OECD data from 2021",
"corrected_name": "OECD data from 2021",
"specificity": "descriptive",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a reference for comparative analysis.",
"context_sentence": "This contrasts with just 9% of nationals belonging to the same income bracket. **THE POVERTY RATE** **[1]** **OF REFUGEES VERSUS HOST** --- [7] Based on [OECD data from 2021, which was indexed by the CPI for 2022 and 2023 for each respective country](https://stats. oecd.",
"pdf_url": "/pdfs/helping_hands_ukraine.pdf"
},
{
"document_name": "helping_hands_ukraine",
"document_title": "Helping Hands: Ukrainian Refugee Integration Report",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "EU statistics on income and living conditions",
"corrected_name": "EU statistics on income and living conditions",
"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a data source for poverty assessments.",
"context_sentence": "The poverty rate is defined as the share of individuals with an equivalized disposable income that is less than 50% of the host country median 2. Calculations for Moldova were not conducted, as this country is not included into the [EU statistics on income and living conditions (SILC)](https://ec. europa.",
"pdf_url": "/pdfs/helping_hands_ukraine.pdf"
},
{
"document_name": "helping_hands_ukraine",
"document_title": "Helping Hands: Ukrainian Refugee Integration Report",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "consumer price index",
"corrected_name": "consumer price index",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Referenced as a basis for indexing poverty rates.",
"context_sentence": "oecd. org/) [2021 that were indexed towards 2023 using consumer price index](https://stats. oecd.",
"pdf_url": "/pdfs/helping_hands_ukraine.pdf"
},
{
"document_name": "helping_hands_ukraine",
"document_title": "Helping Hands: Ukrainian Refugee Integration Report",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 5,
"mention_text": "EU statistics on income and living conditions",
"corrected_name": "EU statistics on income and living conditions",
"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a data source for poverty assessments.",
"context_sentence": "Twenty percent are living in With accommodation rent support Bulgaria Hungary Poland Romania Slovakia Region 1. Calculations for Moldova were not conducted, as this country is not included into the [EU statistics on income and living conditions (SILC)](https://ec. europa.",
"pdf_url": "/pdfs/helping_hands_ukraine.pdf"
},
{
"document_name": "helping_hands_ukraine",
"document_title": "Helping Hands: Ukrainian Refugee Integration Report",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 7,
"mention_text": "indicators reported by the World Bank",
"corrected_name": "indicators reported by the World Bank",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a source of data indicators.",
"context_sentence": "org/data/) **TOP EMPLOYMENT BARRIERS REPORTED BY UNEMPLOYED** **REFUGEES, % OF RESPONDENTS** **[1]** Moldova Bulgaria Romania Slovakia Poland Czechia Hungary Region 1. Host country data based on indicators reported by the World Bank [(modeled ILO estimates for 2023)](https://data. worldbank.",
"pdf_url": "/pdfs/helping_hands_ukraine.pdf"
},
{
"document_name": "helping_hands_ukraine",
"document_title": "Helping Hands: Ukrainian Refugee Integration Report",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 9,
"mention_text": "Data reported by the national statistics service",
"corrected_name": "Data reported by the national statistics service",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a reference for context.",
"context_sentence": "THE ROLE OF HOUSING SUPPORT AND EMPLOYMENT FACILITATION IN ECONOMIC VULNERABILITY OF REFUGEES FROM UKRAINE **SHARE OF YOUNG UKRAINIANS (AGED 15 TO 24) WHO ARE NOT ENGAGED IN EMPLOYMENT, EDUCATION, OR TRAINING** **(NEET) BY COUNTRY, %** **[1,2,3]** Host country Refugees, excluding online education Refugees Bulgaria Czechia Hungary Moldova Poland Romania Slovakia Region 1. Data reported by the national statistics service was used as a reference for Moldova 2. With the exception of Poland and the Czech Republic, the reliability of data by country is hindered by a relatively low number of observations [3.",
"pdf_url": "/pdfs/helping_hands_ukraine.pdf"
},
{
"document_name": "helping_hands_ukraine",
"document_title": "Helping Hands: Ukrainian Refugee Integration Report",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 9,
"mention_text": "indicators reported by the OECD",
"corrected_name": "indicators reported by the OECD",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Referenced as a source of data for analysis of economic vulnerability.",
"context_sentence": "With the exception of Poland and the Czech Republic, the reliability of data by country is hindered by a relatively low number of observations [3. Host country data is based on indicators reported by the OECD for](https://data. oecd.",
"pdf_url": "/pdfs/helping_hands_ukraine.pdf"
},
{
"document_name": "navigating_health_wellbeing",
"document_title": "Navigating Health & Well-being of Ukrainian Refugees (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 3,
"mention_text": "Socio-Economic Insights Survey (SEIS)",
"corrected_name": "Socio-Economic Insights Survey (SEIS)",
"specificity": "named",
"downstream_impact_channel": "Analysis",
"data_use_impact": "Used as the primary dataset for conducting a regional analysis of health and mental health situations.",
"context_sentence": "The Republic of Moldova followed this model and also introduced Temporary Protection for Ukrainian refugees. In 2024, to assess the health and mental health situation of Ukrainian refugees, their access to services, and the barriers they face across countries, Regional Refugee Response Plan (RRP) health and mental health and psychosocial support (MHPSS) partners conducted a regional analysis of the Socio-Economic Insights Survey (SEIS) data from 10 refugee-hosting countries: Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Republic of Moldova, Romania, and Slovakia. The analysis includes a comparison with key indicators collected in 2023.",
"pdf_url": "/pdfs/navigating_health_wellbeing.pdf"
},
{
"document_name": "navigating_health_wellbeing",
"document_title": "Navigating Health & Well-being of Ukrainian Refugees (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "SEIS",
"corrected_name": "SEIS",
"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Referenced as a dataset to inform recommendations.",
"context_sentence": "Overall, 88% of those who received support reported improved wellbeing, though there are notable differences depending on gender and age. The recommendations drawn from this analysis focus on addressing the health and mental health and psychosocial needs and barriers identified in the SEIS, tailoring them to the specific data and context of each country. To enhance policy development, it will be crucial to improve monitoring of refugees’ health, including sexual and reproductive health and mental health, through inclusion of disaggregated refugee data into national data systems.",
"pdf_url": "/pdfs/navigating_health_wellbeing.pdf"
},
{
"document_name": "navigating_health_wellbeing",
"document_title": "Navigating Health & Well-being of Ukrainian Refugees (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "disaggregated refugee data",
"corrected_name": "disaggregated refugee data",
"specificity": "descriptive",
"downstream_impact_channel": "Monitoring",
"data_use_impact": "Essential for tracking health indicators among refugees.",
"context_sentence": "The recommendations drawn from this analysis focus on addressing the health and mental health and psychosocial needs and barriers identified in the SEIS, tailoring them to the specific data and context of each country. To enhance policy development, it will be crucial to improve monitoring of refugees’ health, including sexual and reproductive health and mental health, through inclusion of disaggregated refugee data into national data systems. This will require effective collaboration among health organizations, statistical offices, and partners.",
"pdf_url": "/pdfs/navigating_health_wellbeing.pdf"
},
{
"document_name": "navigating_health_wellbeing",
"document_title": "Navigating Health & Well-being of Ukrainian Refugees (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 6,
"mention_text": "SocioEconomic Insights Study (SEIS)",
"corrected_name": "SocioEconomic Insights Study (SEIS)",
"specificity": "named",
"downstream_impact_channel": "Research",
"data_use_impact": "Cited as a specific dataset for assessing refugee needs.",
"context_sentence": "These assessments support partners’ understanding of the level of access to essential services among refugees and outcomes enable governments and partners to identify priorities for the response. In 2024, a social-economic lens was added in assessing the needs of refugees in the SocioEconomic Insights Study (SEIS) conducted in ten countries (Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Republic of Moldova, Romania, and Slovakia). # Methodology The regional analysis is grounded in consolidated data from the Socio-Economic Insights Survey (SEIS), conducted across ten countries: Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Republic of Moldova, Romania, and Slovakia.",
"pdf_url": "/pdfs/navigating_health_wellbeing.pdf"
},
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"document_name": "navigating_health_wellbeing",
"document_title": "Navigating Health & Well-being of Ukrainian Refugees (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 6,
"mention_text": "Socio-Economic Insights Survey",
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"context_sentence": "In 2024, a social-economic lens was added in assessing the needs of refugees in the SocioEconomic Insights Study (SEIS) conducted in ten countries (Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Republic of Moldova, Romania, and Slovakia). # Methodology The regional analysis is grounded in consolidated data from the Socio-Economic Insights Survey (SEIS), conducted across ten countries: Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Republic of Moldova, Romania, and Slovakia. Data for the country-specific SEISs were collected through in-person interviews from May to July 2024.",
"pdf_url": "/pdfs/navigating_health_wellbeing.pdf"
},
{
"document_name": "navigating_health_wellbeing",
"document_title": "Navigating Health & Well-being of Ukrainian Refugees (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 7,
"mention_text": "UNHCR Microdata Library",
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"specificity": "named",
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"data_use_impact": "Cited as a source for the available dataset.",
"context_sentence": "To protect data privacy and maintain confidentiality, informed consent was obtained and documented from all participants, with clear explanations provided regarding the purpose and use of the data. The complete questionnaires, along with the consolidated anonymized dataset, are available in the [UNHCR Microdata Library. ](https://microdata.",
"pdf_url": "/pdfs/navigating_health_wellbeing.pdf"
},
{
"document_name": "navigating_health_wellbeing",
"document_title": "Navigating Health & Well-being of Ukrainian Refugees (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 7,
"mention_text": "survey results for certain indicators",
"corrected_name": "survey results for certain indicators",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited to highlight the need for cautious interpretation due to sample size and response rates.",
"context_sentence": "A high non-response rate was observed for sensitive questions related to mental health, psychosocial well-being, protection, income and expenditure which could affect the completeness of the data. Additionally, the survey results for certain indicators, such as infant and young child feeding and SRH barriers, should be interpreted with caution due to the small sample size or low response rates. As a result, some indicators could not be further analyzed to assess how factors such as gender, age, disability, or place of residence impact access to health and MHPSS services.",
"pdf_url": "/pdfs/navigating_health_wellbeing.pdf"
},
{
"document_name": "navigating_health_wellbeing",
"document_title": "Navigating Health & Well-being of Ukrainian Refugees (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 10,
"mention_text": "2023 survey",
"corrected_name": "2023 survey",
"specificity": "descriptive",
"downstream_impact_channel": "Citation",
"data_use_impact": "Referenced as a data source for priority needs.",
"context_sentence": "In 2024, health care became a top priority for 49% of households in Romania, a shift from 38% in 2023, potentially indicating barriers and changes in the level of access. (2023 N=9,466, 2024 N=7,140) - Not included in 2023 survey **TOP 10 PRIORITY NEEDS (OUT OF THOSE WHO REPORTED)** 2023 2024 Employment, livelihoods Healthcare services Accommodation Language course Education for children Medicines Food Trainings, education adults Legal status* Registration, legal assistance Regionally, women and men prioritized health care nearly equally with respectively 34% and 32% identifying it as a priority need. For women, health was the second highest priority after employment compared to men who prioritized it third after employment and accommodation.",
"pdf_url": "/pdfs/navigating_health_wellbeing.pdf"
},
{
"document_name": "navigating_health_wellbeing",
"document_title": "Navigating Health & Well-being of Ukrainian Refugees (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 11,
"mention_text": "the survey",
"corrected_name": "the survey",
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"data_use_impact": "Cited as a source of data on health problems experienced by individuals.",
"context_sentence": "This indicates a modest decrease compared to 2023 when 58% of households with a member with disability and 48% of those with individuals with a chronic illness cited health as their top priority. ### **Need to access** **health care** Regionally, 31% of individuals experienced health problems 30 days prior to the survey and needed to access health care. The reported experience of health problems was higher among under-fives (37%) and those over the age of 60 (60%), and it was higher among women above 18 years (36%) compared to men (31%).",
"pdf_url": "/pdfs/navigating_health_wellbeing.pdf"
},
{
"document_name": "navigating_health_wellbeing",
"document_title": "Navigating Health & Well-being of Ukrainian Refugees (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 18,
"mention_text": "survey results",
"corrected_name": "survey results",
"specificity": "vague",
"downstream_impact_channel": "Analysis",
"data_use_impact": "Provides empirical data for analyzing breastfeeding initiation and exclusivity rates.",
"context_sentence": "NAVIGATING HEALTH AND WELL-BEING CHALLENGES FOR REFUGEES FROM UKRAINE ### **Child health,** **vaccination and** **nutrition** Timely initiation of breastfeeding (within one hour of delivery) Exclusive breastfeeding under 6 months 0-23 153/274 57% months 0-5 15/38 37% months - Excluding Estonia, Hungary Breastfeeding practices for infants and young children directly influence their nutritional health during the first two years of life and play a crucial role in child survival. From the survey results, the proportion of children 0-23 months who had timely initiation of breastfeeding was 57% and the rate of exclusive breastfeeding for the first six months of life was 37% in the region. Data need to be interpreted with caution given the very low number of respondents.",
"pdf_url": "/pdfs/navigating_health_wellbeing.pdf"
},
{
"document_name": "poland_economy",
"document_title": "UNHCR Poland Impact on Economy Report (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 3,
"mention_text": "limited available data",
"corrected_name": "limited available data",
"specificity": "vague",
"downstream_impact_channel": "Evidence",
"data_use_impact": "Supports the assertion regarding the impact of Ukrainian refugees on local wages.",
"context_sentence": "lower unemployment rates. Third, there is no evidence of lowered wages, in fact the limited available data indicates that a higher share of Ukrainian refugees in a poviat may have caused local wages to rise. Such findings are in line with academic literature, which documents a positive impact of migrants on native workers.",
"pdf_url": "/pdfs/poland_economy.pdf"
},
{
"document_name": "poland_economy",
"document_title": "UNHCR Poland Impact on Economy Report (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "PESEL data",
"corrected_name": "PESEL data",
"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a reference for understanding population movement and registration.",
"context_sentence": "1 Influx since February 2022** Analysis of the impact of refugees from Ukraine on the economy of Poland **Chart 1. Poland-Ukraine border movement balance and registered/active PESEL data** **Prior to the 2022 conflict in Ukraine,** **the population of Ukrainians in** **Poland was already significant and** **on the rise, but the exact number of** **migrants was challenging to quantify. ** Since the onset of the armed conflict in eastern Ukraine in 2014, there was a consistent influx of Ukrainians into Poland.",
"pdf_url": "/pdfs/poland_economy.pdf"
},
{
"document_name": "poland_economy",
"document_title": "UNHCR Poland Impact on Economy Report (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "PESEL data",
"corrected_name": "PESEL data",
"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a source of information regarding migrant status.",
"context_sentence": "1 Influx since February 2022** Analysis of the impact of refugees from Ukraine on the economy of Poland **Chart 1. Poland-Ukraine border movement balance and registered/active PESEL data** **Prior to the 2022 conflict in Ukraine,** **the population of Ukrainians in** **Poland was already significant and** **on the rise, but the exact number of** **migrants was challenging to quantify. ** Since the onset of the armed conflict in eastern Ukraine in 2014, there was a consistent influx of Ukrainians into Poland.",
"pdf_url": "/pdfs/poland_economy.pdf"
},
{
"document_name": "poland_economy",
"document_title": "UNHCR Poland Impact on Economy Report (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "PESEL-UKR data",
"corrected_name": "PESEL-UKR data",
"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a specific dataset for border entry-exit statistics.",
"context_sentence": "Most of the migrants came as guest workers, a status brought in by a 2011 law enabling Ukrainians and five other nations to work in Poland for six months Source: Deloitte own elaboration based on Polish Border Guard Headquarter and PESEL data. PESEL-UKR data Total entries-exits of the Polish-Ukrainian border during a year without a work permit, based on an employer’s declaration. This was a circular migration, with Ukrainians coming to Poland for half of the year, then returning to Ukraine for another six months, and coming back to Poland.",
"pdf_url": "/pdfs/poland_economy.pdf"
},
{
"document_name": "poland_economy",
"document_title": "UNHCR Poland Impact on Economy Report (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "2021 Polish National Census",
"corrected_name": "2021 Polish National Census",
"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a source of demographic information regarding Ukrainian citizens in Poland.",
"context_sentence": "The National Bank of Poland estimated that between 2014 and 2018, there were approximately one to two million Ukrainian workers in Poland at a time (Strzelecki, Growiec and Wyszyński, 2022). According to the 2021 Polish National Census, one year before the outbreak of the full-scale war in Ukraine there were about one million Ukrainian citizens residing in Poland, almost all of them on a temporary basis. After the full-scale Russian invasion of Ukraine, Poland experienced a massive influx of refugees – with more than 27 million border crossings from Ukraine and more than 1.",
"pdf_url": "/pdfs/poland_economy.pdf"
},
{
"document_name": "poland_economy",
"document_title": "UNHCR Poland Impact on Economy Report (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 4,
"mention_text": "UNHCR data",
"corrected_name": "UNHCR data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a data source related to the situation in Ukraine.",
"context_sentence": "By February 14, 2025, PESEL UKR [2] holders who remained in Poland stood at less than 1 million, while the border movement balance between Poland and Ukraine was slightly below 2 million. --- [1] UNHCR data, https://data2. unhcr.",
"pdf_url": "/pdfs/poland_economy.pdf"
},
{
"document_name": "poland_economy",
"document_title": "UNHCR Poland Impact on Economy Report (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 5,
"mention_text": "data on insured Ukrainian nationals",
"corrected_name": "data on insured Ukrainian nationals",
"specificity": "descriptive",
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"data_use_impact": "Cited as a reliable source for understanding the demographic impact of Ukrainian refugees.",
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{
"document_name": "poland_economy",
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"context_sentence": "3 percentage point lower unemployment rates. Third, there is no evidence of lowered wages; in fact, the limited available data suggests that Ukrainian refugees may have caused higher wage growth in poviats to which they have moved. These are common findings in the scientific literature quoted in the previous section, that as immigrants enter the labour market, native workers tend to specialise in higher-value, complementary tasks.",
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{
"document_name": "poland_economy",
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"context_sentence": "For details see the Online Technical Appendix. 39 2021-Q2 2022-Q2 2023-Q2 2024-Q2 2021-Q2 2022-Q2 2023-Q2 2024-Q2 Males Males Source: Deloitte own elaboration based Source: Deloitte own elaboration based of Eurostat data (Labour Force Survey). of Eurostat data (Labour Force Survey).",
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"context_sentence": "[35] Furthermore, it was assumed that refugees have higher spending needs and thus a lower saving rate than other earners in Poland for 2022 and 2023. Moreover, according to National Bank of Ukraine data, the consumption of Ukrainian refugees has been partially financed by savings in Ukrainian banks in 2022 and 2023, which was modelled as them having a negative saving rate, while being offset by lowering investment levels in Eastern Europe. [36] By 2024, it was assumed that their situation on the labour market had stabilised and that there had been no further changes in their savings.",
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"context_sentence": "It is the most appropriate tool for accounting for the multi-layered impact of Ukrainian refugees. A counterfactual analysis was performed using the latest data on the Polish economy to account for the effects of other shocks in the economy. The model enabled a counterfactual analysis to be conducted by isolating the refugee influx from all other economic shocks, e.",
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"context_sentence": "23 Due to possible differences in methodologies data from this surveys should not be directly compared Refugees from Ukraine XI 2022 Pre-2022 migrants from Ukraine XI 2022 Ukraine LFS 2020 29% 20% 17% 29% 60% 14% 33% 37% 37% 60% 50% 40% 30% 20% 10% 0% |PL XI
PL VII-VIII|2022
2023 U|K**|Col4|Col5| |---|---|---|---|---| ||CZ
|LT
|SE|| |||DK
NL||EE| ||||FR|**R = 0,36**| |||IE
||| ||DE
|H*||IT| |||||| 2% 4% 6% **Female unemployment rate** 34% The high level of education of Ukrainians coming to Poland helped them access the labour market. The percentage of higher education for refugees and pre-2022 migrants from Ukraine in NBP and UNHCR surveys is significantly higher than for the Polish population and even higher than for Ukraine, according to the Labour Force Survey (LFS) in Poland, and its equivalent in Ukraine. According to NBP survey from 2022 the percentage of refugees with higher education was at 48%, while MSNA 8% 10% **Source:** Deloitte own elaboration based on Eurostat, [https://nbp.",
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work in Warsaw|** fugees**||||| ||||||||| ||||Wrocław||||| ||||||||| |||||Kraków|||| |||Łodź|Poznań||||R2 = 0,20| |||Szczecin
||Gdańsk|||| ||Poznański|Bydgoszcz||Katowice|||| |||||Łęczyń|ski||Lubiński| |Col1|Col2|Col3|Col4|Col5|Col6|Col7|Col8| |---|---|---|---|---|---|---|---| ||||||||| ||||||||| ||||||||| |||||Warszawa|||| ||||||||| ||||||||| |||Łodź|Wrocław|Kraków|||R2 = 0,16| ||Poz|nański|Szczecin||||| |||Gdańsk
Bydgoszcz||Katowice
Łęczy|ński||Lubiński| 5000 6000 7000 8000 9000 10000 11000 12000 **Average monthly gross earnings in enterprise sector in poviat of employment in 2022** 8% 7% 6% 5% 4% 3% 2% 1% 0% 4000 10% 9% 8% 7% 6% 5% 4% 3% 2% 1% 0% 4000 Ukrainian refugee educational attainment implies from 18% (assuming refugees’ educational attainment from November 2022 survey) to 19% (July-August 2023) higher earnings than the general population. [36] Poviat-level geographical distribution of Ukrainian refugees is more concentrated in high productivity agglomerations, implying 7% higher earnings than for other workers registered for social security.",
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"data_use_impact": "Cited as a source for earnings data by educational attainment.",
"context_sentence": "[40] 5000 6000 7000 8000 9000 10000 11000 12000 --- [40] Note that data on occupations of Ukrainian refugees is for persons with PESEL UKR registered for social security on 30th September 2023. It **Average monthly gross earnings in enterprise sector in poviat of employment in 2022** Natives and other immigrants 36 Note that these percentages are only indicative, as Ukrainian refugee educational attainment is assumed on the basis of November 2022 NBP (2023) survey for 18+ age group and July-August 2023 UNHCR (2023) survey for 15+ age group, while the general population is taken from the 2022 Labour Force Survey for 15-74 (broadest available) age group, and earnings by educational attainment are taken from the GUS (2022) “Structure of wages and salaries by occupations in October 2020”. 37 Note that the numbers of Ukrainian refugees and all workers numbers by poviats are taken from ZUS Statistical Portal on 30th September 2023 from the universe of workers registered for social security (this does not cover the informal sector and some jobs that do not require social security).",
"pdf_url": "/pdfs/poland_economy.pdf"
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{
"document_name": "poland_economy",
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"context_sentence": "Ukrainian refugees are identified by PESEL UKR. Salaries and wages are taken from Statistics Poland BDL GUS database for 2022, but cover only the enterprise sector (firms with 10 or more employees). 38 Note that there is no publicly available administrative data on the sectoral distribution of Ukrainian refugees.",
"pdf_url": "/pdfs/poland_economy.pdf"
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{
"document_name": "poland_economy",
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"context_sentence": "We proxied their sectors by taking the difference in workers with Ukrainian citizenship registered for social security between H1 2023 and end of 2021 in A-Q 1-letter NACE sections. For the general population we used employment in the 15+ age group in Q2 2023 from the Eurostat Labour Force Survey. Earnings by NACE section have been taken from Statistics Poland Statistical Bulletin wages and salaries for the enterprise sector and public sector in Q2 2023.",
"pdf_url": "/pdfs/poland_economy.pdf"
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"context_sentence": "For the general population we used employment in the 15+ age group in Q2 2023 from the Eurostat Labour Force Survey. Earnings by NACE section have been taken from Statistics Poland Statistical Bulletin wages and salaries for the enterprise sector and public sector in Q2 2023. 39 Note that Ukrainian refugees have been allocated to firm sizes based on the July-August 2023 UNHCR (2023) survey, while general workers from the GUS (2023) “Employment in the national economy in 2022”.",
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"context_sentence": "39 Note that Ukrainian refugees have been allocated to firm sizes based on the July-August 2023 UNHCR (2023) survey, while general workers from the GUS (2023) “Employment in the national economy in 2022”. Productivity of firms by size is based on gross value added per person employed in industry, construction, and market services sectors (broadest available) in 2021 from Eurostat Structural Business Statistics.",
"pdf_url": "/pdfs/poland_economy.pdf"
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"document_name": "poland_economy",
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"context_sentence": "[40] 5000 6000 7000 8000 9000 10000 11000 12000 --- [40] Note that data on occupations of Ukrainian refugees is for persons with PESEL UKR registered for social security on 30th September 2023. It **Average monthly gross earnings in enterprise sector in poviat of employment in 2022** Natives and other immigrants 36 Note that these percentages are only indicative, as Ukrainian refugee educational attainment is assumed on the basis of November 2022 NBP (2023) survey for 18+ age group and July-August 2023 UNHCR (2023) survey for 15+ age group, while the general population is taken from the 2022 Labour Force Survey for 15-74 (broadest available) age group, and earnings by educational attainment are taken from the GUS (2022) “Structure of wages and salaries by occupations in October 2020”. 37 Note that the numbers of Ukrainian refugees and all workers numbers by poviats are taken from ZUS Statistical Portal on 30th September 2023 from the universe of workers registered for social security (this does not cover the informal sector and some jobs that do not require social security).",
"pdf_url": "/pdfs/poland_economy.pdf"
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{
"document_name": "poland_economy",
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"mention_text": "PESEL registry",
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"context_sentence": "As such their primary impact on yearly data was divided as between 2022 and 2023 setting 3⁄4 of it in 2022 and 1⁄4 in 2023. The total number of refugees was set according to the newest data from the PESEL registry (Chart 3. in Chapter 1).",
"pdf_url": "/pdfs/poland_economy.pdf"
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{
"document_name": "poland_economy",
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"context_sentence": "Publicly available data does not give the numbers of social security registrations of native workers by NACE sector. For this reason, in the absence of administrative data, to approximate the share of Ukrainian workers in particular sectors it was necessary to use Statistics Poland survey data. The share of workers with Ukrainian citizenship grew more in sectors that were experiencing the highest wage and salaries growth before refugee displacement.",
"pdf_url": "/pdfs/poland_economy.pdf"
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{
"document_name": "poland_economy",
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"context_sentence": "The second part of this recommendation, achieved either through improvements in utilisation of skills of refugees or trainings giving them abilities demanded by the labour market, is integral as it should lower costs for the local labour force. --- [48] Model treats general government sector as a whole, as such cost and income internal structure may differ creating institutions with financial loses while 45 Based on number of economically active people in III quarter of 2023 according to labour market survey. 46 E.",
"pdf_url": "/pdfs/poland_economy.pdf"
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{
"document_name": "poland_economy",
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"mention_text": "Italian data",
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"data_use_impact": "Used to analyze the impact of emigration rate on business formation.",
"context_sentence": "Notwithstanding the reason, such effects are observed across the OECD countries (OECD, 2011). In a recent paper, Anelli, Basso, Ippedico, and Peri (2023) look at Italian data, finding that one standard deviation increase in emigration rate generates 4. 8% decline of business formation in the municipality of origin.",
"pdf_url": "/pdfs/poland_economy.pdf"
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{
"document_name": "poland_economy",
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"corpus_category": "SEIS / Other Humanitarian Briefs",
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"mention_text": "active PESEL UKR database",
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"context_sentence": "The lower bound is the number of social security registrations and understates the actual figure, as some jobs may not require social contributions or remain in the informal sector. The higher bound is the product of employment rates from surveys of refugees from Ukraine, and their working age population from the active PESEL UKR database. By JulyAugust 2023 Ukrainian refugee households supported themselves, with 80% of their incomes coming from work.",
"pdf_url": "/pdfs/poland_economy.pdf"
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"document_name": "poland_economy",
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"mention_text": "Multi-Sector Needs Assessment Poland 2023 survey data",
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"data_use_impact": "Cited as a source of data for calculations.",
"context_sentence": "By JulyAugust 2023 Ukrainian refugee households supported themselves, with 80% of their incomes coming from work. [49] --- [49] Deloitte calculations based on Multi-Sector Needs Assessment Poland 2023 survey data provided by UNHCR. ##### We find that refugees from Ukraine as workers, entrepreneurs, consumers, and taxpayers had a positive impact on economic output, which will increase in the long run.",
"pdf_url": "/pdfs/poland_economy.pdf"
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{
"document_name": "poland_economy",
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"mention_text": "Statistics Poland",
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"data_use_impact": "Cited as a source of data for residents of Poland.",
"context_sentence": "Moreover, as part of assumed increase in spending by Ukrainians in Poland was financed by savings from Ukraine this was balanced by equivalent negative shock on investment in Eastern Europe. Shock to population was calibrated to match data for residents of Poland from Statistics Poland and number of refugees based on PESEL UKR. Equivalent shock in Eastern Europe was calculated using data for population in this region from World Population Prospects UN.",
"pdf_url": "/pdfs/poland_economy.pdf"
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{
"document_name": "poland_economy",
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"page_number": 22,
"mention_text": "World Population Prospects UN",
"corrected_name": "World Population Prospects UN",
"specificity": "named",
"downstream_impact_channel": "Analysis",
"data_use_impact": "Used as a data source for calculating population shocks in Eastern Europe.",
"context_sentence": "Shock to population was calibrated to match data for residents of Poland from Statistics Poland and number of refugees based on PESEL UKR. Equivalent shock in Eastern Europe was calculated using data for population in this region from World Population Prospects UN. Shock to labour supply was calibrated to match data of working Ukrainians presented in chapter 2.",
"pdf_url": "/pdfs/poland_economy.pdf"
},
{
"document_name": "poland_economy",
"document_title": "UNHCR Poland Impact on Economy Report (2024)",
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"page_number": 22,
"mention_text": "data from the National Bank of Ukraine",
"corrected_name": "data from the National Bank of Ukraine",
"specificity": "descriptive",
"downstream_impact_channel": "Analysis",
"data_use_impact": "Used to analyze spending of savings from Ukraine.",
"context_sentence": "As such shock was set to match shock for the population [54] . Additionally, to account for spending of savings from Ukraine, data from the National Bank of Ukraine on cash withdrawals and retail transactions from Ukrainian bank cards in Poland was used [55] and then calibrated to data for private consumption in Poland. Additionally, the same data was used to calibrate the negative shock to investment in Eastern Europe.",
"pdf_url": "/pdfs/poland_economy.pdf"
},
{
"document_name": "poland_economy",
"document_title": "UNHCR Poland Impact on Economy Report (2024)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 22,
"mention_text": "retail transactions from Ukrainian bank cards in Poland",
"corrected_name": "retail transactions from Ukrainian bank cards in Poland",
"specificity": "descriptive",
"downstream_impact_channel": "Analysis",
"data_use_impact": "Used as empirical input for calibrating consumption data.",
"context_sentence": "As such shock was set to match shock for the population [54] . Additionally, to account for spending of savings from Ukraine, data from the National Bank of Ukraine on cash withdrawals and retail transactions from Ukrainian bank cards in Poland was used [55] and then calibrated to data for private consumption in Poland. Additionally, the same data was used to calibrate the negative shock to investment in Eastern Europe.",
"pdf_url": "/pdfs/poland_economy.pdf"
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{
"document_name": "poland_economy",
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"page_number": 22,
"mention_text": "data for private consumption in Poland",
"corrected_name": "data for private consumption in Poland",
"specificity": "descriptive",
"downstream_impact_channel": "Analysis",
"data_use_impact": "Used as a calibrated reference for understanding spending patterns.",
"context_sentence": "As such shock was set to match shock for the population [54] . Additionally, to account for spending of savings from Ukraine, data from the National Bank of Ukraine on cash withdrawals and retail transactions from Ukrainian bank cards in Poland was used [55] and then calibrated to data for private consumption in Poland. Additionally, the same data was used to calibrate the negative shock to investment in Eastern Europe.",
"pdf_url": "/pdfs/poland_economy.pdf"
},
{
"document_name": "poland_economy",
"document_title": "UNHCR Poland Impact on Economy Report (2024)",
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"page_number": 22,
"mention_text": "labour in UNHCR survey",
"corrected_name": "labour in UNHCR survey",
"specificity": "descriptive",
"downstream_impact_channel": "Analysis",
"data_use_impact": "Used to analyze the difference in income data for refugees.",
"context_sentence": "Secondly, lower productivity of workers from Ukraine negatively impacting total labour productivity. These shocks were calibrated to match the difference in data between refugees income from labour in UNHCR survey and average wage in Poland from Statistics Poland weighted by refugees share in total workforce. As one period in the model is set to one year and refugees started coming to Poland by the end of February 2022 it was assumed that their impact on economy started being felt starting from II quarter of the year.",
"pdf_url": "/pdfs/poland_economy.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 3,
"mention_text": "SEIS survey",
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"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a data source for assessing financial vulnerability of refugees.",
"context_sentence": "HIGH EMPLOYMENT RATES, BUT LOW WAGES: A POVERTY ASSESSMENT OF UKRAINIAN REFUGEES IN NEIGHBORING COUNTRIES # **Summary of findings and** **recommendations** The 2024 round of the SEIS survey indicates that while the financial vulnerability of refugees from Ukraine residing in neighboring countries - specifically those included in the [Regional Refugee Response Plan - has](https://www. unhcr.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 3,
"mention_text": "household level indicators",
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"specificity": "vague",
"downstream_impact_channel": "Evidence",
"data_use_impact": "Supports the assertion about the income comparison between refugees and the local population.",
"context_sentence": "Considering that the share of working-age refugees that are employed is nearing host population levels after rising further in 2024, attention should now turn to wages. Data on the latter, which was derived from household level indicators, demonstrates that refugees on average make two-thirds of what the local population does per hour of work. Low wage premiums for higher education levels and the fact that some 60% of current refugee employees have a background in an entirely different sector of the economy, suggest the presence of underemployment and skills mismatching.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
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{
"document_name": "seis_ukraine_2025",
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"context_sentence": "The difference between refugee and local population wages could be an important metric to monitor on an ongoing basis 1. Compared to the [2023 MSNA data](https://data. unhcr.",
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{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
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"data_use_impact": "Cited as the primary source of data for assessing the livelihood situation.",
"context_sentence": "org/europe/publications/regional-refugee-response-plan-2025-2026) countries: Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Republic of Moldova, Romania, and Slovakia. This report aims to assess the livelihood situation of this population based on the 2024 round of data collected by the Socio-Economic Insights Survey (SEIS), which received responses from 8,723 households containing 19,803 individuals. Figures for 2023 are derived from a similar exercise [7] conducted in 2023.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
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{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
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"context_sentence": "**REFUGEE VERSUS HOST POVERTY RATES BY COUNTRY** Ukrainian refugees (2024) Host country nationals (2023) Bulgaria Czechia Hungary Moldova Poland Romania Slovakia Estonia Latvia Lithuania Region Note: Poverty rates for all countries apart from the Republic of Moldova are based on a calculation that follows Eurostat’s at-risk-of-poverty (AROP) methodology with the at-risk-of-poverty threshold set at 50% of the national median disposable income after social transfers. Refugee disposable income has been computed based on survey data. For the Republic of Moldova, the poverty threshold was taken to be the 4Q23 absolute poverty line reported by the National Bureau of Statistics of Moldova.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
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{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
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"context_sentence": "**REFUGEE VERSUS HOST POVERTY RATES BY COUNTRY** Ukrainian refugees (2024) Host country nationals (2023) Bulgaria Czechia Hungary Moldova Poland Romania Slovakia Estonia Latvia Lithuania Region Note: Poverty rates for all countries apart from the Republic of Moldova are based on a calculation that follows Eurostat’s at-risk-of-poverty (AROP) methodology with the at-risk-of-poverty threshold set at 50% of the national median disposable income after social transfers. Refugee disposable income has been computed based on survey data. For the Republic of Moldova, the poverty threshold was taken to be the 4Q23 absolute poverty line reported by the National Bureau of Statistics of Moldova.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
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"data_use_impact": "Cited as a reference for comparing refugee housing expenses.",
"context_sentence": "Mixed gender (at least one male and one female head) was associated with higher income, though likely due to increased chances of multiple breadwinners being present in the household. **REFUGEE POVERTY RATES BY VULNERABILITY CHARACTERISTIC AND GENDER OF HEAD OF HOUSEHOLD** No Yes Female Male Mixed Head of household gender Older adult Household (65+) present member with a disability present Source: Survey data, SAG estimates Household member with MHPSS needs present **Refugee housing expenses are on average much higher than for nationals, which implies an** **even greater disparity in financial wellbeing** At the regional level, the weighted average share of the host population living in rented housing was calculated at 13% based on Eurostat data. This figure is dwarfed by 60% of refugee households fully paying rent for their accommodation and 21% partially paying, as per the SEIS survey.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
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"mention_text": "Eurostat data",
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"data_use_impact": "Used as a basis for calculating the weighted average share of the host population living in rented housing.",
"context_sentence": "Mixed gender (at least one male and one female head) was associated with higher income, though likely due to increased chances of multiple breadwinners being present in the household. **REFUGEE POVERTY RATES BY VULNERABILITY CHARACTERISTIC AND GENDER OF HEAD OF HOUSEHOLD** No Yes Female Male Mixed Head of household gender Older adult Household (65+) present member with a disability present Source: Survey data, SAG estimates Household member with MHPSS needs present **Refugee housing expenses are on average much higher than for nationals, which implies an** **even greater disparity in financial wellbeing** At the regional level, the weighted average share of the host population living in rented housing was calculated at 13% based on Eurostat data. This figure is dwarfed by 60% of refugee households fully paying rent for their accommodation and 21% partially paying, as per the SEIS survey.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
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"mention_text": "SEIS survey",
"corrected_name": "SEIS survey",
"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited to provide context on refugee households' rent payment status.",
"context_sentence": "**REFUGEE POVERTY RATES BY VULNERABILITY CHARACTERISTIC AND GENDER OF HEAD OF HOUSEHOLD** No Yes Female Male Mixed Head of household gender Older adult Household (65+) present member with a disability present Source: Survey data, SAG estimates Household member with MHPSS needs present **Refugee housing expenses are on average much higher than for nationals, which implies an** **even greater disparity in financial wellbeing** At the regional level, the weighted average share of the host population living in rented housing was calculated at 13% based on Eurostat data. This figure is dwarfed by 60% of refugee households fully paying rent for their accommodation and 21% partially paying, as per the SEIS survey. Likewise, accommodation expenses as a share of disposable income were estimated at 17% for hosts, including mortgages, compared to 32% for refugees.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 6,
"mention_text": "survey data",
"corrected_name": "survey data",
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"data_use_impact": "Cited as a source of information for the assessment of housing costs and poverty rates.",
"context_sentence": "HIGH EMPLOYMENT RATES, BUT LOW WAGES: A POVERTY ASSESSMENT OF UKRAINIAN REFUGEES IN NEIGHBORING COUNTRIES **SHARE OF POPULATION PAYING FOR RENTED HOUSING: HOSTS VS REFUGEES** Share of hosts living in rented housing (2023) Share of refugees fully paying for rent (2024) Share of refugees partially paying for rent (2024) 100% 80% 60% 40% 20% 0% Bulgaria Czechia Estonia Hungary Latvia Lithuania Moldova Poland Romania Slovakia Region Source: Eurostat, survey data, SAG estimates **HOUSING COST AS A SHARE OF HOUSEHOLD DISPOSABLE INCOME** Refugees (2024) Hosts (2022) Bulgaria Czechia Estonia Hungary Latvia Lithuania Moldova Poland Romania Slovakia Region Source: Eurostat, survey data, SAG estimates **REFUGEE POVERTY RATES WITH AND WITHOUT CORRECTION FOR EXCESSIVE HOUSING COSTS** Refugees (2024) Refugees with housing expense correction (2024) Hosts (2023) 65% 40% 52% 31% 46% 43% 37% Bulgaria Czechia Hungary Moldova Poland Romania Slovakia Estonia Latvia Lithuania Region Source: Eurostat, survey data, SAG estimates **6**",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 7,
"mention_text": "Data from the Republic of Moldova",
"corrected_name": "Data from the Republic of Moldova",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited to illustrate limitations of poverty metrics.",
"context_sentence": "HIGH EMPLOYMENT RATES, BUT LOW WAGES: A POVERTY ASSESSMENT OF UKRAINIAN REFUGEES IN NEIGHBORING COUNTRIES **Republic of Moldova: the case for housing costs corrections in income-based poverty metrics** Data from the Republic of Moldova highlights the limitations of poverty metrics that rely solely on disposable income, as they fail to account for vulnerability related to asset ownership. Based on income alone, the 2024 poverty rate suggests that Ukrainian refugees are able to attain a higher standard of living than their hosts, with only 10% living in poverty compared to 32% of Moldovans.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 8,
"mention_text": "Survey data",
"corrected_name": "Survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a source of information for the poverty assessment.",
"context_sentence": "HIGH EMPLOYMENT RATES, BUT LOW WAGES: A POVERTY ASSESSMENT OF UKRAINIAN REFUGEES IN NEIGHBORING COUNTRIES **ACCOMMODATION QUALITY BY POVERTY GROUP** Income above the poverty line Income below the poverty line **LIVING CONDITIONS BY POVERTY GROUP** Income above the poverty line Income below the poverty line Living in collective housing Not reporting feeling safe walking in neighbourhood after dark Unable to store or cook food Insufficient Lacking privacy separate showers or toilets Feeling under pressure to leave accommodation Source: Survey data, SAG estimates **POVERTY EFFECTS ON HEALTHCARE ACCESS** Income above the poverty line Income below the poverty line Source: Survey data, SAG estimates **FOOD COPING STRATEGY OVER LAST 7 DAYS BY POVERTY** **GROUP** Income above the poverty line Income below the poverty line Had to reduce essential health expenditures in last 30 days (including drugs) Unable to obtain needed healthcare in the last 30 days Could not afford hospital or clinic fee in last 30 days Had to borrow money for food Note: Percentages of those that could not afford clinic fees are as share of those not able to access healthcare in the last 30 days Source: Survey data, SAG estimates Had to skip a Adults had to meal eat less to feed small children Source: Survey data, SAG estimates **Employment remains closely associated with significantly lower poverty rates, but size of** **employment income is key** Just like in the case of 2023 data, the current survey round suggests a strong link between employment and poverty. Whereas for individuals living in households with no one employed the poverty rate stands at a staggering 62%, it drops to 10% for those with at least one person working.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 8,
"mention_text": "Survey data",
"corrected_name": "Survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited to support the link between employment and poverty.",
"context_sentence": "HIGH EMPLOYMENT RATES, BUT LOW WAGES: A POVERTY ASSESSMENT OF UKRAINIAN REFUGEES IN NEIGHBORING COUNTRIES **ACCOMMODATION QUALITY BY POVERTY GROUP** Income above the poverty line Income below the poverty line **LIVING CONDITIONS BY POVERTY GROUP** Income above the poverty line Income below the poverty line Living in collective housing Not reporting feeling safe walking in neighbourhood after dark Unable to store or cook food Insufficient Lacking privacy separate showers or toilets Feeling under pressure to leave accommodation Source: Survey data, SAG estimates **POVERTY EFFECTS ON HEALTHCARE ACCESS** Income above the poverty line Income below the poverty line Source: Survey data, SAG estimates **FOOD COPING STRATEGY OVER LAST 7 DAYS BY POVERTY** **GROUP** Income above the poverty line Income below the poverty line Had to reduce essential health expenditures in last 30 days (including drugs) Unable to obtain needed healthcare in the last 30 days Could not afford hospital or clinic fee in last 30 days Had to borrow money for food Note: Percentages of those that could not afford clinic fees are as share of those not able to access healthcare in the last 30 days Source: Survey data, SAG estimates Had to skip a Adults had to meal eat less to feed small children Source: Survey data, SAG estimates **Employment remains closely associated with significantly lower poverty rates, but size of** **employment income is key** Just like in the case of 2023 data, the current survey round suggests a strong link between employment and poverty. Whereas for individuals living in households with no one employed the poverty rate stands at a staggering 62%, it drops to 10% for those with at least one person working.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 9,
"mention_text": "Survey data",
"corrected_name": "Survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a source of information regarding household income distribution.",
"context_sentence": "HIGH EMPLOYMENT RATES, BUT LOW WAGES: A POVERTY ASSESSMENT OF UKRAINIAN REFUGEES IN NEIGHBORING COUNTRIES **HOUSEHOLD INCOME DISTRIBUTION BY SOURCE AND POVERTY CATEGORY** Employment Family support Social protection (host country) Old age pension (Ukraine) 12% 67% Social protection (Ukraine) 35% Humanitarian cash 8% 13% 23% 6% Other 5% 3% 3% 5% Below the poverty line Below the poverty line after housing cost correction Above the poverty line after housing cost correction Source: Survey data, SAG estimates 26% 88% **Higher employment earnings were the main driver behind the drop in poverty rates from** **2023** The mean monthly equivalized household income [12] of Ukrainian refugees across the seven countries surveyed in both rounds increased by 38% from last year, to an equivalent of EUR 763. This increase was much higher than the 4% rise in the regional poverty threshold over the same time.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 9,
"mention_text": "Survey data",
"corrected_name": "Survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Referenced as a source of information for the analysis.",
"context_sentence": "HIGH EMPLOYMENT RATES, BUT LOW WAGES: A POVERTY ASSESSMENT OF UKRAINIAN REFUGEES IN NEIGHBORING COUNTRIES **HOUSEHOLD INCOME DISTRIBUTION BY SOURCE AND POVERTY CATEGORY** Employment Family support Social protection (host country) Old age pension (Ukraine) 12% 67% Social protection (Ukraine) 35% Humanitarian cash 8% 13% 23% 6% Other 5% 3% 3% 5% Below the poverty line Below the poverty line after housing cost correction Above the poverty line after housing cost correction Source: Survey data, SAG estimates 26% 88% **Higher employment earnings were the main driver behind the drop in poverty rates from** **2023** The mean monthly equivalized household income [12] of Ukrainian refugees across the seven countries surveyed in both rounds increased by 38% from last year, to an equivalent of EUR 763. This increase was much higher than the 4% rise in the regional poverty threshold over the same time.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 10,
"mention_text": "Survey data",
"corrected_name": "Survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a source of information regarding the employment rate.",
"context_sentence": "In fact, the 2024 labor force participation rate amounted to 70%, which stands almost in line with the equivalent host country indicator of 73%. **EVOLUTION OF THE REFUGEE EMPLOYMENT RATE FROM 2023 TO 2024** 70% 60% 50% 40% 30% 20% 10% 0% Employment Decrease in Decrease in rate 2023 unemployment potential labor force Employment rate 2024 Unclear labor force status Expansion of the labor force Note: Only includes data from the 7 countries surveyed in both rounds (Bulgaria, Czech Republic, Hungary, Republic of Moldova, Poland, Romania, and Slovakia) Source: Survey data, SAG estimates **REFUGEE VS HOST EMPLOYMENT RATES BY COUNTRY** Refugee (2023) Refugee (2024) Host (2023) 76% 76% 76% 62% Bulgaria Czechia Estonia Hungary Latvia Lithuania Moldova Poland Romania Slovakia Region Note: For comparability, employment rates for host countries have been recalculated assuming a similar gender distribution to that of refugees Source: ILO, survey data 14. The employment rate is defined as the number of employed or self-employed individuals of working age (15-64) as a share of the total number of people in this age group 15.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 10,
"mention_text": "survey data",
"corrected_name": "survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a source for employment rate comparisons.",
"context_sentence": "In fact, the 2024 labor force participation rate amounted to 70%, which stands almost in line with the equivalent host country indicator of 73%. **EVOLUTION OF THE REFUGEE EMPLOYMENT RATE FROM 2023 TO 2024** 70% 60% 50% 40% 30% 20% 10% 0% Employment Decrease in Decrease in rate 2023 unemployment potential labor force Employment rate 2024 Unclear labor force status Expansion of the labor force Note: Only includes data from the 7 countries surveyed in both rounds (Bulgaria, Czech Republic, Hungary, Republic of Moldova, Poland, Romania, and Slovakia) Source: Survey data, SAG estimates **REFUGEE VS HOST EMPLOYMENT RATES BY COUNTRY** Refugee (2023) Refugee (2024) Host (2023) 76% 76% 76% 62% Bulgaria Czechia Estonia Hungary Latvia Lithuania Moldova Poland Romania Slovakia Region Note: For comparability, employment rates for host countries have been recalculated assuming a similar gender distribution to that of refugees Source: ILO, survey data 14. The employment rate is defined as the number of employed or self-employed individuals of working age (15-64) as a share of the total number of people in this age group 15.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 11,
"mention_text": "Survey data",
"corrected_name": "Survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a source of employment rate information.",
"context_sentence": "Higher age brackets (55-59 and 60-64) saw the highest gap in the employment rate compared to hosts, supporting the hypothesis that older age individuals have more difficulty integrating into the local labor market. **REGIONAL EMPLOYMENT RATE BY AGE AND POPULATION** Refugees (2023) Refugees (2024) Hosts (2023) 82% 79% 80% 52% 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 Source: Survey data, ILO **REGIONAL REFUGEE EMPLOYMENT RATE BY POPULATION** **GROUP (2024)** **EMPLOYMENT RATE BY EDUCATION LEVEL** Refugees (2023) Refugees (2024) Hosts (2023) Overall Male Female With severe psychological distress With a disability Source: Survey data, SAG estimates 64% 67% 63% 57% 86% 96% 92% 72% 49% Technical or Bachelor's Master's Doctoral Vocational 30% Lower secondary or below Source: Survey data, SAG estimates **11**",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 11,
"mention_text": "Survey data",
"corrected_name": "Survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Referenced as a source of data for the reported statistics.",
"context_sentence": "Higher age brackets (55-59 and 60-64) saw the highest gap in the employment rate compared to hosts, supporting the hypothesis that older age individuals have more difficulty integrating into the local labor market. **REGIONAL EMPLOYMENT RATE BY AGE AND POPULATION** Refugees (2023) Refugees (2024) Hosts (2023) 82% 79% 80% 52% 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 Source: Survey data, ILO **REGIONAL REFUGEE EMPLOYMENT RATE BY POPULATION** **GROUP (2024)** **EMPLOYMENT RATE BY EDUCATION LEVEL** Refugees (2023) Refugees (2024) Hosts (2023) Overall Male Female With severe psychological distress With a disability Source: Survey data, SAG estimates 64% 67% 63% 57% 86% 96% 92% 72% 49% Technical or Bachelor's Master's Doctoral Vocational 30% Lower secondary or below Source: Survey data, SAG estimates **11**",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 12,
"mention_text": "Survey data",
"corrected_name": "Survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited to support findings on language proficiency and employment correlation.",
"context_sentence": "HIGH EMPLOYMENT RATES, BUT LOW WAGES: A POVERTY ASSESSMENT OF UKRAINIAN REFUGEES IN NEIGHBORING COUNTRIES **REGIONAL REFUGEE EMPLOYMENT RATE BY LEVEL OF** **LOCAL LANGUAGE KNOWLEDGE (2024)** Employment rate Share of the refugee population (rhs) 80% 60% 40% 20% 0% 35% Does not understand Beginner Intermediate Advanced Fluent Source: Survey data The 2024 survey introduced a new question on local language proficiency, reinforcing previous findings of a strong correlation between language skills and employment. Respondents with at least an intermediate level of local language proficiency reported nearly twice the employment rate compared to those with no knowledge (9% of respondents).",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 13,
"mention_text": "survey data",
"corrected_name": "survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited to provide context for the wage gap analysis.",
"context_sentence": "As the survey asked for net income, weighted means were then converted to gross amounts for comparability based on host country tax rates. Source: Survey data, Eurostat, SAG estimates Similar to its impact on employment status, education seems to have a much less pronounced effect on wage premiums for refugees compared to hosts, also suggesting the presence of underemployment. While, according to Eurostat data and SAG estimates, a local with an advanced degree can expect to earn nearly 80% more than someone with only lower secondary education [18], the same wage gap [19] for Ukrainians stands as just 16% based on survey data.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 13,
"mention_text": "Survey data",
"corrected_name": "Survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a source for wage premium analysis.",
"context_sentence": "As the survey asked for net income, weighted means were then converted to gross amounts for comparability based on host country tax rates. Source: Survey data, Eurostat, SAG estimates Similar to its impact on employment status, education seems to have a much less pronounced effect on wage premiums for refugees compared to hosts, also suggesting the presence of underemployment. While, according to Eurostat data and SAG estimates, a local with an advanced degree can expect to earn nearly 80% more than someone with only lower secondary education [18], the same wage gap [19] for Ukrainians stands as just 16% based on survey data.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 14,
"mention_text": "Survey data",
"corrected_name": "Survey data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited to support the analysis of employment barriers faced by refugees.",
"context_sentence": "HIGH EMPLOYMENT RATES, BUT LOW WAGES: A POVERTY ASSESSMENT OF UKRAINIAN REFUGEES IN NEIGHBORING COUNTRIES **TOP 5 REFUGEE EMPLOYMENT SECTORS SPLIT BY** **EMPLOYEE BACKGROUND (2024)** **TOP EMPLOYMENT BARRIERS FOR EMPLOYED REFUGEES** **(2024)** Employed in the same sector in Ukraine Manufacturing Hospitality Construction Wholesale IT Lack of local language knowledge Cannot find a job with decent pay Few jobs for my skills or experience Lack of jobs with a suitable schedule Degree or skills recognition issues Source: Survey data 17% 15% 35% 5% 2% 4% Employed in a different sector in Ukraine 16% 9% 5% 24% 6% 4% 1% Note: Percentages are based on the distribution of relevant responses in the survey Source: Survey data Moreover, in the latest survey round, nearly 35% of employed refugees identified inadequate pay, a lack of positions that match their skill set, and challenges in having their qualifications recognized as barriers to employment. All of these answers also suggest a mismatch between qualifications and job placement.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 14,
"mention_text": "national annual wage inflation data",
"corrected_name": "national annual wage inflation data",
"specificity": "descriptive",
"downstream_impact_channel": "Analysis",
"data_use_impact": "Used to index the figure towards 2024.",
"context_sentence": "europa. eu/eurostat) towards 2024 using national annual wage inflation data for the third quarter of 2024. As the Republic of Moldova does not currently run the SILC survey, the absolute poverty line as reported by the country’s National Bureau of Statistics was used instead.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 15,
"mention_text": "Republic of Moldova’s Household Budget Survey",
"corrected_name": "Republic of Moldova’s Household Budget Survey",
"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited to discuss comparability issues with other datasets.",
"context_sentence": "There was also a notably high non-response rate regarding questions related to income and expenditure, which likely resulted in non-response bias. The income module of the SEIS was also materially different from the one employed by the EU SILC and the Republic of Moldova’s Household Budget Survey, which may limit comparability of this data to that of host populations. It is also important to highlight that there were slight differences in the questionnaire across countries.",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "seis_ukraine_2025",
"document_title": "UNHCR Ukraine Socio-Economic Inclusion (SEIS) Brief (2025)",
"corpus_category": "SEIS / Other Humanitarian Briefs",
"page_number": 16,
"mention_text": "socio-economic data",
"corrected_name": "socio-economic data",
"specificity": "vague",
"downstream_impact_channel": "Citation",
"data_use_impact": "Referenced as a general category of data for the assessment.",
"context_sentence": "# **HIGH EMPLOYMENT** **RATES, BUT LOW** **WAGES: A POVERTY** **ASSESSMENT OF** **UKRAINIAN REFUGEES** **IN NEIGHBORING** **COUNTRIES** ## **An inter-agency exploration of** **socio-economic data** March 2025",
"pdf_url": "/pdfs/seis_ukraine_2025.pdf"
},
{
"document_name": "somalia_baseline",
"document_title": "Somalia Solutions Pathways Baseline Analysis (2024)",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 2,
"mention_text": "Durable Solutions Progress (DSP) Survey",
"corrected_name": "Durable Solutions Progress (DSP) Survey",
"specificity": "named",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited as a specific data source related to durable solutions.",
"context_sentence": "Baseline Analysis This document presents key quantitative data under each of the six Solutions Pathways: 1) Government leadership, 2) Access to Basic Services, 3) Employment and Livelihood Opportunities, 4) Legal Documentation, HLP and Access to Justice, 5) Climate Change and Resilience. Pathway 6 refers to Data for Solutions, which is cross-cutting and covers MoPIED's Durable Solutions Progress (DSP) Survey, was supported by IOM Somalia in 2024. Data from this survey is presented under each of the six pathways in this document.",
"pdf_url": "/pdfs/somalia_baseline.pdf"
},
{
"document_name": "somalia_baseline",
"document_title": "Somalia Solutions Pathways Baseline Analysis (2024)",
"corpus_category": "UNHCR / ReliefWeb / CIMP Reports",
"page_number": 2,
"mention_text": "Data collected by UNHCR",
"corrected_name": "Data collected by UNHCR",
"specificity": "descriptive",
"downstream_impact_channel": "Citation",
"data_use_impact": "Cited to highlight key issues in implementing the plan.",
"context_sentence": "Data from this survey is presented under each of the six pathways in this document. Data collected by UNHCR related to protection and conflict sensitivity is also presented, highlighting key cross-cutting issues to consider in implementing the plan.",
"pdf_url": "/pdfs/somalia_baseline.pdf"
}
]