Input: Policy Research Working Paper 8316 ### **Abstract** Recurrent cyclonic storms in the Bay of Bengal inflict mas sive losses on the coastal regions of Bangladesh and India. Information on occurrences and severities of cyclones is necessary for understanding household and community responses to cyclone risks. This paper constructs a georeferenced panel database that can be used to obtain such information for Bangladesh, West Bengal, and Odisha. Cyclone strike locations and impact zones are analyzed for several historical periods between 1877 and 2016. The findings indicate that although the median location has shifted eastward, there is a marked variability in location, especially after 1960. Impacts also have varied considerably within and across zones over time, with the highest-impact zones in northern Odisha and the Sundarbans region of West Bengal. The pronounced spatial and temporal variation in cyclone impacts will provide robust controls for comparative research on household and community adaptation to cyclones in the study region. The methodology developed in the paper is general and could be expanded to an arbitrarily large set of coastal locations. This paper is a product of the Environment and Energy Team, Development Research Group and the Environment and Natural Resources Global Practice Group. It is

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Input: Japan (HIC) India (LMIC) Germany (HIC) Netherlands (HIC) Vietnam (LMIC) Indonesia (UMIC) Thailand (UMIC) Pakistan (LMIC) South Korea (HIC) 0 500 1000 1500 2000 2500 USD millions _Figure 13. Top 10 countries: Economic value at risk, computed as exposure headcount multiplied by_ _subnational income per capita. Note: no subnational income data are available for several countries,_ _including China._ 17

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Input: quarter confirm that 38% of those having to leave their accommodation was on account of the accommodation closing, compared to only 22% in the last quarter of 2023. ## 39% Consider accommodation an urgent need facilities across seven regions [1] highlighted the challenges in accessing sustainable and affordable housing, including the psychological distress of a relocation to rented housing by some Ukrainian refugees. This was found to be a particular concern amongst elderly persons, persons with disabilities, single mothers, persons with serious medical conditions and their carers. Many expressed reluctance to relocate, citing fatigue and fear of the unknown; some also appreciated their current living conditions and sense of community support, which they prefer over individual housing. The motivation and/or possibility of refugees to relocate to standard housing varied significantly based on income and employment status, Czech language skills, vulnerabilities related to disabilities, age, family size and support from government services or informal networks. The focus group discussions also underscored the precarious financial situation of many refugees, including those engaging in low-paid work below their qualifications, which creates a barrier for relocations to rented housing. 78% of respondents mentioned that they would not be able to cover costs of rented

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Input: retreat and for coastal wetlands ecosystems to move (or migrate) inland as the coastline is receding. Attempts have also been made to estimate the economic loss, which may be associated with adversely impacted wetlands. Our estimates indicate that a 1 m rise in sea level would lead to a loss of present coastal wetland stocks of 60% or more, depending on wetland type. Human activity is generally 8 Further development in coastal areas may also close off wetland migration. 9 Historically, mangroves have shown considerable resilience to adapt to fluctuations in sea-level rise (Alongi, 2008; Erwin, 2009; Gilman et al., 2006). 10 Coastal wetlands in this analysis are defined as the following wetland types in a low elevation (with elevation 10 m or less from sea level) zone: freshwater marsh, swamp forest, GLWD coastal wetlands and brackish/saline wetlands, as delineated in the Global Lakes and Wetlands (GLWD-3) database. See the data section for details. 11 The IPCC’s Fourth Assessment Report (AR4) projects increased SLR between 0.18m and 0.59m across various emission scenarios over the next 100 years. However, this range has been criticized by many experts as being too conservative and not sufficiently reflective of the large uncertainty pertaining to

Global Lakes and Wetlands (GLWD-3) database

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Input: 0.127 0.186 0.162 0.154 Organization done by village leaders 0.264 0.237 0.276 0.222 0.165 0.261 0.285 Organization done by village representatives 0.059 0.059 0.053 0.089 0.064 0.061 0.053 Organization done by village assembly 0.121 0.112 0.138 0.111 0.119 0.130 0.132 Organization done by village econ. organizations 0.083 0.059 0.099 0.096 0.064 0.096 0.093 Organization done by township or above 0.472 0.533 0.434 0.481 0.587 0.452 0.437 Actual measurement done by village leaders 0.085 0.086 0.093 0.059 0.111 0.078 0.080 Actual measurement by village representatives 0.554 0.517 0.583 0.615 0.407 0.609 0.567 Actual measurement done by village assembly 0.042 0.033 0.040 0.022 0.056 0.026 0.053 Measurement by village econ. organizations 0.227 0.192 0.252 0.267 0.241 0.209 0.247 Actual measurement done by township or above 0.093 0.172 0.033 0.037 0.185 0.078 0.053 **Disputes** Any disputes encountered 0.549 0.187 0.497 0.348 0.226 0.250 0.300 ... if yes, no. of disputes 14.850 6.429 10.987 9.745 6.292 9.759 8.111 ... disputes could not be resolved by village 1.248 0.074 0.724 0.894 0.042 1.690 0.933 leaders **Results** Contract now longer than 30 years 0.987 0.993 0.980 0.977 1.000 0.983 0.993 Contract now permanent 0.717 0.792 0.497 0.481 0.848 0.861 0.860 _Source:_ Own computation from 2014 Chengdu

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Input: Economics of Disasters and Climate Change There is a significant amount of uncertainty with regard to how much sea level will rise. For that reason we model three future climate scenarios per return period: a low, medium, and high scenario (Table 1), using estimates from the IPCC (IPCC 2014; IPCC 2007). For the fluvial and pluvial hazards, future climate scenarios were not explicitly simulated owing to the complexity and considerable uncertainties that arise (Smith et al. 2014). [2] Although robust modeling of the magnitude of future extreme rainfall is not yet possible, heavy rainfall is expected to increase in a warmer climate, owing to the increased water holding capacity of the atmosphere. Therefore instead of a direct modeling approach, future climate scenarios were inferred by taking flood hazard maps derived under current climate conditions for different return periods, and using them as a proxy for future climate scenarios. The return period hazard maps used for each of the future scenarios are outlined in Table 2. Although simplistic, this method allows areas that may be impacted by increasing riverine and extreme rainfall driven flooding to be identified. Clearly there are some significant assumptions and uncertainties arising from this method. However, given

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Input: financed under DRDIP II and ensure they are aligned with and incorporated in the District Development Plan. 59. **DRDIP II will be implemented using the CDD approach, whereby communities identify, prioritize, and** **implement subprojects themselves,** guided by the Sub-County Implementation Support Team, Sub-County Executive Committee, Sub-County Technical Planning Committee, Parish Development Committee, and Assistant Commandant. At the community level, implementation will be carried out by committees that the project will establish and train, including a Community Project Management Committee (CPMC), Community Procurement Committee (CPC), Community Monitoring Group, Grievance Redress Committee (GRC), and Refugee Welfare Committee (RWC) in the settlements. The project will ensure gender equity in the membership of the various committees. Implementing Partners (component 2) and TSPs (component 3) will be hired to support community capacity for subproject identification, planning and implementation. A Community Operations Manual will be incorporated into the PIM to detail all steps in the CDD process. 60. **The Inspectorate of Government (IG) will remain engaged in implementation arrangements** at the national and local government level to strengthen transparency and accountability and to prevent and respond to corruption. **B. Results Monitoring, Evaluation, and Verification Arrangements** 61. **M&E System.** OPM will have overall responsibility for M&E, including

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Input: **The World Bank** Socio-economic Inclusion of Refugees & Host Communities in Rwanda Project Phase II (P509677) 33. _Sub-component 2(c): Partial Credit Guarantee Scheme (US$860,000)._ Despite the financing provided through the MG scheme, many financial institutions in Rwanda remain hesitant to lend to creditworthy refugees due to the lack of an established credit history and insufficient collateral. The GoR’s Business Development Fund (BDF) has a partial credit guarantee (PCG) scheme to respond to the collateral challenge. While refugees are eligible for the scheme, few either access it or are aware that it exists. Building on the experience of the ongoing Access to Finance for Recovery and Resilience project (P175273) in Rwanda, which is partly implemented by BDF, the sub-component will support and facilitate the provision of individual PCGs to refugees to offset PFI collateral requirements or portfolio guarantees to cover credit losses associated with loans made to refugees. 34. **BDF will implement the sub-component.** A full Financial Intermediary Assessment of BDF was conducted as part of project preparation, full details of which will be included in the Project Implementation Manual. [22] Given that capital needs will be provided by BDF, funding from Jya Mbere II will only be required for BDF’s

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Input: # **PROTECTION BRIEF** **CZECHIA** ### JULY- SEPTEMBER 2024 ## Operational Context Based on the number of Ukrainian refugees who applied for an extension of Temporary Protection in 2024 (320,000), the figures of Temporary Protection holders in Czechia, including new arrivals, were updated to **384,558** people as of **29 September 2024**, compared to 373,745 at the end of 2023 (source: Ministry of the Interior). This report presents an overview of refugees’ profiles as well as main findings regarding protection risks and priority needs of refugees from Ukraine in Czechia. The brief is based on the analysis of **438 Protection Monitoring interviews** conducted with refugees from Ukraine in all the 14 regions as well as findings from focus group discussions in the third quarter of 2024. ## Key Figures 384,558 71% Temporary Protection holders in Czechia as of 29 September 2024 [1] Temporary Protection holders in Czechia of Temporary Protection holders are women as of 29 September 2024 [1] and children [2] ## 98% 34% of Protection Monitoring respondents are Temporary Protection holders ## 34% of Protection Monitoring respondents are of respondents consider accommodation as Temporary Protection holders their highest priority need ## 67% 29% ## 29% of working age respondents are

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Input: UNHCR Czechia continued to conduct Protection Monitoring while also consulting different groups of refugees though focus group discussions on protection risks and priority needs. Specific challenges in accessing rights were reported. The key findings are highlighted below. ### Protection Risk I The number of respondents reporting a lack of critical documentation increased from 28% to 32% in the first quarter of 2024 compared to the last quarter of 2023. The increase was mainly in relation to obtaining or renewing biometric passports (85%) and internal passports (19%), which impacted the possibility to move freely, to access basic services as well as work and education. Various factors hinder refugees’ access to documentation, including associated processing fees, long waiting periods, unavailability of services or lack of information on procedures. 10% of the respondents also reported facing challenges in registering births, deaths, marriages, and divorces, and obtaining corresponding documents. UNHCR / March 2024 2

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Input: 1.7 **Labor inputs** Male family labor dummy 68.6 71.0 63.4 67.4 69.8 64.3 Female family labor dummy 92.1 92.0 92.3 94.1 94.3 93.7 Hired labor dummy 30.2 30.5 29.7 27.7 25.0 31.1 Exchange labor dummy 17.6 16.9 19.3 16.4 13.6 20.1 Number of male family labor days per acre 20.4 19.7 21.8 20.2 19.2 21.4 Number of female family labor days per acre 44.5 40.1 54.7 48.9 42.4 57.2 Total family labor days per acre 64.9 59.8 76.5 69.0 61.6 78.6 Total exchange labor days per acre 2.7 2.4 3.3 2.5 1.6 3.6 Total family and exchange labor days per acre 68.1 63.0 79.8 72.3 64.6 82.3 Hired labor days per acre 3.2 3.2 3.4 3.3 3.0 3.7 Total labor days per acre 70.8 65.4 83.2 74.8 66.2 85.8 Number of observations (parcels) 18220 12658 5562 6628 3720 2908 _Source:_ Own computation from 2005/06 UNHS III _Note:_ Unit of observation is a parcel (under crop) in a given season. Thus the same parcel could provide two observations if cultivated in both seasons in the reference period (July 2004 – June 2005). 19

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Input: from the national level to higher local governments (districts, cities, urban centers), to lower local governments (sub-counties), and to the communities. The FM assessment indicated that the arrangements satisfy the World Bank’s minimum requirements under Investment Project Financing (IPF) policies and directives. The FM residual risk rating is Substantial. 73. **Successful implementation of the project requires strong FM arrangements at the national, district, urban** **center (local government), and community levels.** CAOs and Town/City Clerks and CFOs are the key players for districts and urban centers in managing and disbursing funds to communities and ensuring accountability of project resources. DRDIP I established robust accountability mechanisms and operated a ring-fenced FM system. Phase II will use the same systems, including the existing MIS to record project data, processes, accounting, and reporting. Key risks identified Page 21

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Input: comments. All remaining errors are my own. A supplemental appendix to this article [is available at https://academic.oup.com/wber.](https://academic.oup.com/wber) 1 CIA World Factbook: India; Indiastat.com. © The Author 2016. Published by Oxford University Press on behalf of the International Bank for Reconstruction and Development / THE WORLD BANK. All [rights reserved. For Permissions, please e-mail: journals.permissions@oup.com](mailto:journals.permissions@oup.com)

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Input: infiltrators‖ ( _mistaneniavoda_ ) in an effort to associate refugees with a threat to the employment prospects of Israelis. As one academic interviewee observed, the ongoing primacy of this term demonstrates ―the success of agents within the [governmental] institutions to inject this discourse and create a sort of panic‖ characterised by a ―takeaway feeling – they will come here, take what we have, and change this place‖. This ―takeaway feeling‖ partly explains the urgency of an MK who suggested various security technologies that allowed Israel to act in a middle zone between violence and doing nothing: ―...preventing entrance, a fence, guard dogs, sensors...arrivals will not be answered and received, we will not let them in‖...‖Between killing and not acting there is prevention, [and the state should act upon it] if Israel wishes to survive‖. However, any discussion which touches upon security-related issues must also consider the close triangular relationships between African refugees, Palestinian refugees and Israeli security considerations. In the Israeli context, the term ̳refugee‘ is traditionally associated with two types of refugee: Jewish holocaust survivors who fled Europe and the Palestinian refugees who were displaced as a result of the 1948 War. The state fears that recognizing African asylum

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Input: accordance with the Ministry of Interior’s decision. So far, authorities have registered and issued 30,000 cards, but their resources have quickly depleted and they are running out of resources to continue registration. UNHCR has been requested to support this initiative, as resource shortages risk preventing further registration, exposing refugees to potential deportation and increased GBV risks. Approximately 40,000 vulnerable individuals will be directly impacted, including women, children, and other vulnerable groups among the Sudanese refugee population. **Shelter and Core Relief Items** Overcrowded and inadequate shelters heighten the risk of disease transmission and compromise the safety and dignity of refugees, with current shelter solutions falling below minimum humanitarian standards. In-kind support will be provided to Sudanese refugees with heightened risk and vulnerability if funding is available. **Education** Only one-third of primary school-aged children and 5% of secondary school-aged children in Mbera refugee camp are enrolled due to lack of financial means, documentation, and schools. The situation is equally dire outside of the camp in Hodh Chargui, where the enrolment rate is only 6%. School kits, capacity building and salaries for teachers, and support to transition from the Malian to Mauritanian curriculum will all increase access to education for some 45,000 refugee

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Input: limited understanding of the importance of climate adaptation for their livelihoods and there is a need for better government aid after flood events (Le Dang et al. 2014; McElwee et al. 2017). In urban areas, private adaptive capacity may be even lower, resulting in an increasing need for urban planning to incorporate climate risk dimensions (Liao et al. 2016). While adaptation is not a focus of this paper, the uncertain and growing impacts of flood risk found in this paper indicate more attention is warranted to design effective adaptation policies. Data To examine population and poverty-specific exposure to floods, we employ spatial data defining flood hazard and a number of socioeconomic characteristics representing poverty and population density. Flood Hazard Data Flood Hazard Maps for Vietnam Developed for this Study For this study, we developed flood hazard maps representing riverine, flash-flood and coastal flood hazards for Vietnam. These flood hazard maps estimate the inundation depth at a grid cell level of 3 arc-seconds, (~ 90 m) and provide coastal surge hazard layers, along with pluvial and fluvial layers. The maps provide information on the extent and depth of flood hazard for a specific location. For the coastal component, we explicitly model

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Input: The audit reports for 2022/2023 that had an unqualified (clean) audit opinion were for Isingiro, Kamwenge, and Obongi districts. 2023/2024 audit reports were not available on the Auditor General’s website. The audit reports for 2023/2024 that had an unqualified (clean) audit opinion were for Adjumani, Kikuube, Kiryandongo, Koboko, Kyegegwa, Lamwo, Madi Okollo, Obongi, Terego, Yumbe, Amuru, Bundibugyo, Kanungu, Kisoro districts. Others were Arua City, Gulu City, Kitgum Municipality, Koboko Municipality, and Mbarara City. In the case of Ntoroko, this was due to understating value-added tax receivables, unrecognized prepayments to contractors, and not recognizing advance payments. Page 22

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Input: _Figure 21. Share of total population that is exposed to significant flood risk and living in poverty at_ _$5.50/day_ **Relationship between population exposure and other variables.** The relationship between poverty and flood risk exposure is driven by multiple partly opposing forces. As section 2 has outlined, country-level evidence has demonstrated that areas with higher flood risks (such as coastal zones) can offer economic opportunities, thus resulting in lower poverty rates; yet at the local level (e.g. within coastal towns), lowincome households can be driven into low-cost and high-risk neighborhoods. This means that – depending on the resolution of analysis and country-specific geographic and economic characteristics – the relationship between poverty and flood exposure could be either positive or negative. The global-level data used in this study only offer a limited view on this question. Figure 22 illustrates the relationship between average income levels and flood exposure rates for the 2,260 sub-national regions for which data are available. The figure suggests that regions with high flood-exposure tend to have lower income levels on average, only dedicated country-level analysis can assess this question conclusively – for instance based on household survey data. 22

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Input: South Asia Middle East & North Africa Latin America & the Caribbean **Figure 3. Regional distribution of economic losses** ###### **III.4 Prior research on impacts of SLR on coastal wetlands** The papers most immediately related to this analysis are those of Nicholls at al. (1999), Nicholls (2004), McFadden et al. (2007) with estimates of exposure of coastal wetlands to SLR, and Tol (2007), Anthoff et al. (2010) on valuation of wetland losses due to SLR. It should be noted that Nicholls (1999) and Nicholls (2004) are based on wetland losses derived from the Global Vulnerability Analysis (Hoozemans et al. 1993) [23] - “a first-order perspective on wetland loss rates with incomplete coverage and wetland losses controlled only by tidal range and accommodation space” - as pointed out by McFadden et al. (2007). Nicholls et al. (1999) estimated that a 38 cm rise in global sea level from 1990 to the 2080s will lead to an approximate 22% loss of the coastal wetlands, [24] and 46% of the coastal wetlands would be lost if the sea level rises by 1 m. Nicholls (2004) further estimated losses of wetlands under various greenhouse emissions scenarios and found that a 34 cm rise in

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Input: through the project grievance redress mechanism that are resolved (Percentage). **Economic and Financial Analysis** 69. **Results of Economic Analysis without Greenhouse Gas (GHG) Accounting.** The results of the economic analysis indicate that DRDIP II is economically viable, as it is projected to yield a baseline Economic Internal Rate of Return (EIRR) of 22 percent, which is above the prevailing discount rate of 16.7 percent adopted for economic analysis. The Economic Net Present Value (NPV) is estimated at US$62.7 million, equivalent to UGX 231 billion. The benefit-cost ratio (BCR) is estimated at 1.12 percent. 70. **Results of Economic Analysis, with GHG Accounting.** The overall economic analysis has been rerun to assess the economic viability of the project taking into account benefits from reduction of carbon gas emissions. The GHG accounting analysis done using the Environmental Externalities Accounting Tool (EX-ACT) shows that over 20 years, the project will result in a carbon emission savings of 2,056,927 tCO2e (102,846 tCO2e per year). The savings in GHG emissions further enhance the viability of the project, as they contribute to overall net revenue and ultimately to the EIRR. After considering all project costs and benefits from reduction of carbon gas emissions, the overall EIRR is

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Input: financial statements which will be audited under terms of reference and by an external firm, both acceptable to the World Bank, will be produced for the project. Basic arrangements to ensure control, recording, and reporting are further described in Annex 1. 52. **Procurement** . Procurement for the Project will be carried out in accordance with the World Bank’s Procurement Regulations for IPF Borrowers for Goods, Works, Non-Consulting and Consulting Services, dated September 2023. The Project will also be subject to the World Bank’s Anticorruption Guidelines, dated October 15, 2006 (revised July 2016). The World Bank's Standard Procurement Documents will be used in World Bank-financed Open International Competitive Procurement. The World Bank completed a procurement capacity assessment of MEP in April 2024. The assessment reviewed the organizational structure for implementing the Project and assessed the experience of the existing staff. A Project Procurement Strategy for Development (PPSD) was prepared by the executing agency, which describes how procurement in this Project will support the PDOs and deliver value for money under a risk-based approach. The PPSD will provide adequate supporting market analysis for the selection methods detailed in the Procurement Plan. Mandatory 29 MEP implemented the Equity and Efficiency of Education Project

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Input: across competing priorities and are fully aligned with the Local Area Development plan for Meheba prepared by Kalumbila Town Council. The project’s three components will contribute to the building of a future policy framework and an operational model for use of WHR resources that could be extended to assist refugees and host communities in other parts of the country in potential future phases of the project. **Component 1. Strengthening the Enabling Environment (US$7 million)** 24. The objective of this component is two-fold. First, it is to build an enabling legal framework for refugees related to documentation, basic services, and livelihoods and self-reliance. Secondly, it aims to support the rollout of new national ID cards to refugees in all three of the refugee hosting district. _Subcomponent 1.1. Building an enabling legal framework (US$1 million)_ 25. In November 2023, the Cabinet approved Zambia’s new National Refugee Policy. The GRZ has set five key objectives for its revised Refugee Policy: (a) strengthened refugee protection, (b) improved access to basic services, (c) better livelihoods and self-reliance, (d) progress on long term solutions including local integration, and (e) enhanced government coordination of refugees and their inclusion in national development processes. Under this subcomponent, a national

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Input: Single Account (TSA) to make payments. Subproject payments will be made to a community bank account in a commercial bank. The CFO of the local government will authorize the opening of community bank accounts in local governments and monitor payments made through the account to ensure they are used for project purposes. Each community will have a Community Project Management Committee, and the authorized signatories for their bank account will be the Chair, Secretary, and Treasurer. All payments by districts, cities, and urban centers will be accessible online in the IFMIS by MoFPED and OPM (that will have read on rights authorized by MoFPED) for monitoring, accountability, and audit purposes. **Figure 3: Funds flow overview** 63. **The report-based disbursement method will be used by OPM and IG to receive advances from the** **World Bank.** Advances to project’s Designated Accounts will be based on six-month cash flow forecasts supported by the Page 17

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Input: observed in PISA data. Looking at graduates of pre-university technical education (mainly technical stream secondary education) one finds an interesting pattern comparing three specializations (Figure 1b). Gender disparities are high in Electronics and Automation, less in Software Development and were recently eliminated in Network and Database Design. The final example of Network and Database Design in Figure 1b shows that gender disparity can be overcome in a short period of time. Two recent studies provide a detailed general analysis of policy options. [18] For STEAM courses, the causes relate to: (i) enjoyment of reading and preference for mathematics; (ii) self-efficacy or belief in own capabilities, often reinforced by teachers; (iii) parental support or lack thereof due to low socioeconomic status; (iv) teacher preparation to deal effectively with diversity. 16 Source: Government Budget for 2024 and MEP School Census data from 2023. 17 Program-Based budgeting at a government-wide level is being implemented under the Fiscal Management Improvement Project (P172352, Loan 9075-CR), known as _Hacienda Digital_ . Investing in readiness to implement program-based budgeting at MEP, the biggest Ministry (in terms of budget and staff) is a priority for the Government of Costa Rica. 18 [Desigualdades por género en Primaria y Secundaria,

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Input: of different tenure in cases where the same crop was grown on owned and occupied ones, we drop parcels if, in the same household, there is another parcel of different tenure devoted to the same crop, either as a pure or mixed stand. This implies that, for the case of output, our sample contains owner-cum-occupants who cultivated different types of crops on at least one of their owned and their occupied parcels. [12] **3. Data and descriptive evidence** Descriptive evidence from a large and nationally representative household survey at household and parcel levels illustrates the large number of owner-cum-occupants who differ from pure owners and, to a lesser degree, occupants, in few of the variables of interest. At the same time, it points towards presence of systematic differences in investment between owned and occupied parcels which provide the motivation for more detailed econometric analysis. **3.1 Data sources and household characteristics** The data for our study come from the 2005/2006 Uganda National Household Survey (UNHS), fieldwork for which was conducted by the Uganda Bureau of Statistics from May 2005 to April 2006. The survey collected information at the community, household, and parcel level for about 7,500 households in 753 EAs including

2005/2006 Uganda National Household Survey

large and nationally representative household survey

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Input: sub-component includes US$1.69 million in operational costs for BRD to manage component activities. 28. _Sub-component 2(b): Access to finance (US$5.7 million)._ This sub-component will provide finance to Rwandan and refugee entrepreneurs. The MG scheme will be retained, though with refinements based on lessons from Phase I, including: (a) detailed communication strategy will be prepared with districts, PFIs, UNHCR and refugee representatives and will be launched before funds are released to beneficiaries; (b) linkages will be made to TVET graduates (including from TVET centers financed by Jya Mbere) to help them access financial support for their business ideas post-training; (c) BRD will have more autonomy in Phase II, with separate funds flow and decisionmaking capacity, which is expected to improve efficiency; and (d) performance agreements for BRD project staff will include incentives to improve TAT. Page 9

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Input: of renewable energy and/or improved cooking systems for public institutions, which will be incorporated into Component 1. Component 2 will be organized around two sub-components, as described below. 33. _Sub-component 2.1: Restoration of Degraded Ecosystems (US$20 million)._ The DRDIP II Environmental and Social Assessment (ESA) carried out in 2024 identified various types of sensitive and degraded ecosystems within the project area, including riverbanks, wetlands, bare and steep sloping hillsides, forest reserves, gully erosion sites, and other sites at risk due to climate change. Such areas serve as water catchments, biodiversity hotspots, and sources of ecosystem services to the communities and will inform the selection of watersheds for restoration activities. Subproject selection within those watersheds will be guided by local needs and community priorities that will respond to climate change impacts. Measures to be supported will include: (a) construction of soil and water conservation structures, such as terraces, bunds, check dams and trenches to build community resilience to climate change-induced water scarcity; and (b) planting of ground cover and indigenous trees to reduce run-off, tackle erosion and landslides, enrich the ecosystem, re-stabilize the environment, and strengthen resilience to drought. These time-limited interventions are expected to directly respond to climate change impacts

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Input: Israel would ―open the gates...wide to every Jew and confer upon the Jewish people the status of a fully privileged member of the comity of nations‖ (MFA 1948/2010). Established to express the right of the Jewish people to self-determination and grounded in the Zionist ideology, Israel‘s Jewish and democratic character is underlined by the 1950 Law of Return which constructs a distinctive migration regime. The law establishes the ―natural right‖ of every Jew to return to the homeland and become a citizen, based on ethno-religious ancestral ties which are represented in the modern nation, and in the ideological commitment to Jewish immigration (Sachar 2000; Shuval 1998). The law constructs a migration regime that defines the particularities of membership claims while excluding those who do not meet its demands, creating varying degrees of a much-debated structural discrimination against non-Jews, and in particular Palestinians (cf. Carmi 2003; Yiftachel 2006; Gavison 2010). The state actively seeks, via a range of institutions, to encourage Jewish ̳homecoming‘ and sustain a Jewish demographic majority. Israel‘s self-defined ―Jewish and democratic‖ character creates inherent tensions for non-Jewish migrants (amongst others) who are conceived by some as an existential threat (Kritzman-Amir 10

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Input: years old) on off-farm work and similar shifts, though no change in aggregate labor supply, by females. 14 With a mean cultivated area of 3.45 mu, the estimated benefit per mu in terms of consumption and income is 3,150*0.077/3.45 and 4,928*0.067/3.45, respectively. . 15 As we have information on time use at individual level, analyzing this aspect also allows us to obtain gender- and age-differentiated estimates of reform impacts, in line with evidence that such differences could be important (Wang 2014). 16 The age brackets of 16-60 years (or 55 for females) are in line with the age for participation in formal labor markets. 12

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Input: It should be noted that the choice of population density map is important for the purpose of this study. Smith et al. (2019) provide a sensitivity analysis for flood exposure assessments using different population density maps, including GHSL-POP 2015 (3-arc second, ~90 m resolution). They show that high-resolution population density maps perform best in capturing local exposure distribution, in particular the HighResolution Settlement Layer (HRSL) with 1 arc second, or ~30 m resolution, produced jointly by Facebook, Columbia University and the World Bank (2018). While HRSL is only available for a limited number of countries, GHSL-POP is shown to perform better than alternatives with global coverage, such as LandScan data (30-arc second, ~900 m resolution; Bright et al. 2016). **3.3.** **Administrative boundaries** The definition of national administrative boundaries follows the standard World Bank global administrative map. However, national boundaries are further disaggregated into subnational units for all countries where World Bank household surveys are available with subnational representativeness. These subnational units are typically provinces or states (i.e. admin1) but can also include custom groupings of subnational regions determined by the sampling strategy of household surveys. Overall, this study covers 189 countries, which are disaggregated into 2,260 subnational units. **3.4.** **Poverty

GHSL-POP 2015
HighResolution Settlement Layer (HRSL)
LandScan data

household surveys
World Bank household surveys

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Input: **The World Bank** Uganda Development Response to Displacement Impacts Project Phase II (P510476) PROJECT APPRAISAL DOCUMENT World Bank GEMS system. Project results will be captured through baseline, annual, and endline surveys. Regular phone surveys will also be conducted for beneficiaries under the economic opportunity component to gather data on business sustainability and profitability to allow for real-time learning and course correction as necessary. Where appropriate, results indicators will be disaggregated by gender and by refugee/host community status. **C. Disbursement Arrangements** 62. **The project will receive disbursements from the World Bank in a holding account under the consolidated fund** **in United States Dollars (US$) in the Bank of Uganda (BoU) managed by the Office of the Accountant General under** **MoFPED.** Funds from the holding account will be transferred to two accounts for OPM and IG in US$ held at BoU. To implement the project, funds will be transferred from the US$ accounts for OPM and IG into the OPM operations and implementation account and IG’s operations account, both denominated in Uganda Shillings (UGX). Payments for eligible expenditure by OPM and IG can be made from either their US$ or UGX accounts. Transfers by OPM to districts, cities, and urban centers will

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Input: refugees have obtained residence permits enabling them to live in and around Lusaka, Ndola, and other urban centers. [11] **(** Figure 1). **Figure 1. Location of Refugees in Zambia** _Source:_ June 2024, Ministry of Home Affairs and Internal Security (MoHAIS). 10. **Socioeconomic conditions for refugees in the designated settlements are challenging.** Notwithstanding, the Government’s long-standing efforts to support the three main refugee settlements and adjacent areas, achieving selfreliance for refugees in these settlements has proven elusive. Refugees face restrictions on freedom of movement and, while by law they have the right to employment and education, the cost of residence and work and study permits places severe restrictions on their ability to attain self-reliance. While many refugees are in practice living outside the settlements, they are prone to arrest and extortion in the absence of legal identity and full mobility rights. Female refugees experience additional vulnerabilities to gender-based violence (GBV) and sexual exploitation both within and outside the settlements. The situation is compounded by the remote rural locations of settlements, underdeveloped local infrastructure and services, and limited opportunities to develop sustainable livelihoods. [12] Changing weather patterns are having a disproportionate impact on refugees and host communities as they struggle to adapt

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Input: the following year), the balanced sample (where insurance was offered all years), and the balanced marketing sample (where insurance was purchased in all years). One may be concerned that the linear probability model may give biased estimates, especially since such a small percentage of the sample were repeat buyers. Therefore, the results from a probit model are also presented in the supplemental appendix and give similar results to OLS. As mentioned earlier, the dependent variable in this regression was generated by manually matching customers from one year to another, and therefore it is likely measured with some error. Although there is no reason to believe that this measurement error is correlated with any independent variables in the regression, since the dependent variable in the regression is a dummy variable, this can lead to downward bias on the estimated coefficients. In order to get a feel for the potential magnitude of this error, I run simulations where I assume that the BASIX data has been matched completely correctly and then induce “measurement error” by randomly changing the dependent variable of whether people purchased the following year or not. With the introduction of 10 percent matching errors (with an equal probability of

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Input: represent riverine and coastal flood hazard for Vietnam considering climate change. Second, we examine how exposure to floods differs based on socioeconomic characteristics, with an explicit focus on poverty. Our results indicate that climate change is likely to increase the number of people exposed to floods, especially in the Mekong and Red River Deltas. For the same return period flood under current socioeconomic conditions, climate change may increase the number exposed to 38 to 46% of the population (an increase of 13–27% above current exposure), depending on the severity of sea level rise. Regarding poverty and exposure, while we do not find evidence of a differential exposure at the national level, we find at the city level that poor people are relatively more exposed to floods. Within HCMC, potential slum areas are 10–20% more exposed to floods compared to the rest of the city, with the exposure differential increasing with climate change. Nevertheless, the findings presented in this paper should be interpreted considering a number of caveats. While we use current and future flood data, we only use current population and poverty data, as reliably projecting these socioeconomic trends spatially into the future is almost impossible. Changes in these trends

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Input: **The World Bank** Zambia Refugee and Host Communities Project (P503941) **ANNEX 1: Implementation Arrangements and Support Plan** 1. **Overall project implementation will be managed by the MoHAIS.** As the lead implementing agency, the MoHAIS has both an important implementation role—specifically on Component 1—and a coordination role which includes mobilization of the PSC and PSG and monitoring the implementation performance of the devolved responsibility to the SPMU in Kalumbila District. MoHAIS will help resolve any technical or political bottlenecks which may arise across the project. The MoHAIS has already assumed an important leadership role in the development of the GRZ’s Refugee Policy and the MORHCSA. The implementation arrangement is presented below. **Figure 1.1. Project Implementation Arrangements** 2. **Project activities under Components 2 and 3 will require specialist technical service providers.** The SPMU will be responsible for contracting appropriate providers and overseeing implementation progress of selected providers. - **Component 2: Climate Resilient Community Infrastructure.** All designs and supervision activities will be undertaken by respective implementing government ministries, except for the road improvement activities which will be designed and supervised by a firm selected from the market. Construction activities will also be by private sector firms to ensure higher build and climate-resilient standards.

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Input: **are people with disabilities** and **17% are older people** . Among older people around 50% are persons with disabilities which exacerbate the risks that this category of refugees faces. This briefing note aims to provide an overview of the situation of older refugees in Moldova and the gaps and needs they face, as well as the current efforts being made by humanitarian stakeholders to address these challenges. From the **Socio-Economic Insights Survey** (SEIS) conducted by the IMPACT Initiative in1 August 2024, the following **four main areas** were identified as significantly impacting **older refugees** compared to other groups: **Access to Information:** Older refugees face significant challenges in accessing information compared to other refugee groups. Many lack the necessary devices to connect online, and the available information is often not presented in formats that accommodate their needs. **Healthcare Access:** Access to healthcare and to medicines emerged as urgent priorities for older refugees, with a significantly higher proportion identifying these needs as compared to younger refugee groups. **Support Channels:** Refugees aged 75 and above are less likely to have access to secure and private channels for seeking support, or reporting concerns, including sensitive community issues (only 75% reported access compared to an average

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Input: to control for time effects. Also, I only include purchasers who have weather insurance contracts available in their area in the following year. [9] These results are presented in table 3, and column 1 reports the baseline OLS results. It shows that receiving a payout is associated with a 9 percent increased chance of repurchasing insurance the following year, which means that those who receive an insurance payout are more than twice as likely to purchase insurance the following year than those who did not receive a payout. [10] However, this coefficient is not statistically significant at standard levels ( _p_ = .18). The effect on repurchasing may depend on the size of the payout as well. In column 2 I add two new continuous variables to the regression: the ratio of the payout received to the premium paid (which I will call the “payout ratio”) and the payout ratio squared. In this specification, the dummy on receiving 5 [APHRODITE’s water resources project; http://www.chikyu.ac.jp/precip.](http://www.chikyu.ac.jp/precip) 6 25° latitude equals about 27.5 kilometers. .25° longitude varies by latitude; over the range of latitudes in this survey it equals roughly 26 kilometers. 7 It is not clear if ICICI-LOMBARD used APHRODITE or another

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Input: _Note:_ Panel A shows the location of the gold mines that were active during the study period. Around each circle, a 20-km radius is marked. These 40-km-wide areas are the baseline treatment areas in the analysis. Panel B shows the 100-km treatment areas and the distribution of the DHS clusters. Road data is an alternative way of defining distance from mines, but time series data on roads is not available. **3.2 Household data** We use microdata from the DHS, obtained from standardized surveys across years and countries. We combine the respondents from all four DHS standard surveys in Ghana for which there are geographic identifiers. The total data set includes 19,705 women (of which 12,392 live within 100 km of a mine) aged 15–49 from 137 districts. 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 12,294 individuals, of which 7,491 men live within 100 km of a mine. In addition,

DHS standard surveys
microdata from the DHS

surveys of men
surveys of women
microdata from the DHS

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Input: estimated at US$57,000 at a 12 percent discount rate, with an ERR of 12 percent. **Gender** 67. **Building on the gender assessment conducted during the Phase I MTR, Phase II will address the gender** **gaps outlined in Table 10 below.** The project results framework will also track gender data. The key gaps identified in the MTR assessment are: (a) fewer women access loans from financial institutions to start their own businesses; (b) fewer women are starting businesses due to time poverty and capacity gaps; and (c) fewer women are in employment than men. Social gender norms and household dynamics play a critical role in causing these gaps. According to a 2022 study by Access to Finance Rwanda, deeply ingrained societal expectations shape how women participate in economic life and influence their capacity to leverage assets—particularly land and property—as collateral. _[34]_ One pervasive norm is that women should prioritize family and caregiving responsibilities over business activities. This norm restricts their time and engagement in income-generating pursuits and weakens their perceived legitimacy as entrepreneurs, reducing their chances of qualifying for credit. Additionally, women are often expected to rely on family support, especially from spouses, instead of seeking independent financial solutions, distancing them

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Input: System support, administration, and M&E (US$12 million)_ . This sub-component will support the operational costs of the PIST at the national, regional, district, and sub-county levels. These project structures will work in collaboration with the existing OPM structures at the various levels. The sub-component will also fund a robust M&E system that will include regular monitoring from the field using the World Bank GEMS system, as well as baseline, midline, and endline assessments. Beneficiary phone surveys will be conducted regularly to gather information from the field. The sub-component will support capacity building for the project IAs on issues such as financial management, procurement, project management, M&E, and environmental and social risk management. 48. _Sub-component 4.2: Strengthening Transparency, Accountability, and Anti-corruption (STAAC) (US$2.5 million)_ . Led by the IG, the GoU’s peak anti-corruption body, the sub-component will establish and build the capacity of Community Monitoring Groups in all DRDIP II locations to operate as frontline agents for corruption prevention, corruption risk monitoring, awareness raising and to receive corruption complaints. Project financing will also support the IG to respond to allegations of corruption made against the project. Page 13

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Input: Bank. [43] Multifaceted challenges such as refugee impacts on host communities and assisting of refugees to achieve self-reliance require a combination of policy and investment. The approach is aligned with lessons from the 2023 World Development Report which highlighted that “policies should be geared toward financial and social sustainability by means of internal mobility, self-reliance, and inclusion in national services.” [44] Durable solutions require a combination of both legal and development perspectives, which is precisely what this project does. Such an approach needs to be coupled with a long-term development horizon as the typical World Bank project life cycle is not well suited to addressing such massive development deficits over typically short project cycles. 47. **The viability of agribusiness is crucial for project sustainability beyond World Bank assistance.** The TA and financial support provided under the project will build on the successful World Bank financed Zambia Agribusiness and Trade Project (P156492) model. The aim will be to provide cooperatives and farmers sufficient TA and grant financing to 43 World Bank. 2022. _Social Cohesion and Forced Displacement: A Synthesis of New Research_ . 44 World Development Report 2023. Page 22

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Input: adolescent clubs, community community-based child protection structures volunteers, sports and the establishment of child (Children Clubs and Child Welfare Committees) friendly spaces, and life-skills education groups. through WhatsApp and other online platforms to Operations and partners map the community disseminate referral pathways updates and key actors to further facilitate and enhance their roles protection messages. vis-a-vis the aforementioned mechanisms to protect children and their communities. In Ukraine, UNHCR shared important information on its online refugee youth platform, including In Mexico, UNHCR, in collaboration with IOM and useful links for free online courses that was used UNICEF, developed child-friendly information for social interactions and peer-to-peer support. materials on COVID-19 and supported UNHCR / July 2020 2

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Input: **The World Bank** Uganda Development Response to Displacement Impacts Project Phase II (P510476) PROJECT APPRAISAL DOCUMENT 7. **Degradation of the natural environment is placing refugees and host communities at higher risk from climate** **change effects.** Uganda’s economy is highly dependent on ‘climate-sensitive’ sectors such as agriculture, fisheries, tourism, and forestry. Ranked 163 [rd] out of 187 on the Notre Dame Global Adaptation Initiative index, urgent action is required to address climate vulnerability in Uganda. Key trends over the last 60 years include temperature rises (1.3degree Celsius average temperature increase, expected to reach 1.8 degrees by 2050) and a statistically significant reduction in rainfall. Droughts have become more frequent and longer-lasting, especially in the western, northern, and north-eastern regions, which cover most of the DRDIP II target areas. [10] This is causing more frequent crop failure, threatening livelihoods, increasing food insecurity, and aggravating water scarcity. In the future, rainfall is expected to decrease further in the north and north-eastern regions and increase in the west. As the climate crisis intensifies, the country faces rising incidents of extreme weather, leading to disasters such as floods, droughts, and landslides. [11] Between 2018 and 2023, over 455,000 people were displaced due to weather-related disasters,

Notre Dame Global Adaptation Initiative index

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Input: the Women, Business, and the Law Index (World Bank 2022a). 4. **Djibouti’s vulnerability to climate-related disasters exacerbates these economic and social challenges.** The country frequently experiences heatwaves, droughts and floods, which take a heavy toll on the population by reducing productivity and disrupting economic activity. Between 1980 and 2019, Djibouti recorded ten major droughts, with the 2008-2011 drought alone shrinking GDP by four percent and affecting over 100,000 people, leading to the loss of half of Djibouti’s livestock. More recent flooding events between 2018 and 2020 caused substantial damage, impacting 250,000 people and requiring an estimated US$25 million for recovery and reconstruction. The increasing frequency and intensity of these extreme weather events place additional pressure on rural communities, which are already struggling with poverty, underdeveloped infrastructure, and limited access to essential services. In 2021, 89 percent of Djibouti’s population was exposed to climate hazards, with extreme heat affecting more people (82.8 percent) than any other 1 In Djibouti less than 1,000 square kilometers of land is arable and annual rainfall is extremely low (130 mm). Page 1

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Input: a broader range of interventions including the financial services and SBCCs. **C. Disbursement Arrangements** 65. **Given the high-risk environment, the report-based disbursement will not be applicable.** Therefore, upon project effectiveness, transaction-based disbursements will be used. An initial advance up to the ceiling of the Designated Account (DA) will be made into the DA and subsequent disbursements will be made monthly against submission of Statements of Expenditures or records as specified in the DFILs. The other methods of disbursing the funds (reimbursement, direct payment, and special commitment) will also be available to the project. The minimum value of applications for these methods is USD100,000 equivalent. The project will have the option to sign and submit withdrawal applications electronically using the eSignatures module accessible from the World Bank’s Client Connection website. The flow of funds arrangement chart is shown in Figure 1.1 here under. **Figure 1.1. Flow of Funds and Disbursement Arrangements** Page 18

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Input: **Table 1: Sample of farms** **No. of** **Irrigated** **Dryland** **Country** **plots** **plots** **plots** Burkina Faso 1141 59 1082 Cameroon 1013 145 868 Egypt 1030 1030 0 Ethiopia 932 67 865 Ghana 1210 49 1161 Kenya 862 95 767 Niger 1133 52 1081 Senegal 1362 34 1328 South Africa 283 83 200 Zambia 1009 13 996 Zimbabwe 958 123 835 **Total** **10933** **1750** **9183** 14

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Input: **The World Bank** Costa Rica Results in Education (CORE) (P181174) 35. **Component 4: Project Management and Operational Analytical Support (US$10 million).** Component 4 will finance project management costs and technical assistance. A PIU will be financed by the World Bank with adequate fiduciary procedures in place to ensure the efficient and transparent use of loan proceeds. Staff and activities financed under this Project will be clearly delineated in the Project Operations Manual. 36. _Subcomponent 4.1. Project Management_ (US$5 million). This subcomponent will support project management, through: (i) operating a PIU in MEP; (ii) strengthening MEP’s supervision, monitoring, and evaluation capacity for specific Project activities; (iii) carrying out technical and Project audits; and (iv) environmental and social management activities. The subcomponent will finance project operating costs and acquisition of goods and services related to overall project activities, such as impact evaluation studies and communication activities. 37. _Subcomponent 4.2. Operational Analytical Support_ (US$5 million). This subcomponent will finance just-in-time analytical work, as needed, in relation to the Project’s areas of activity. These include the preparation of analytical policy work and related policy and operational support activities regarding the following topics, _inter alia_ : (i) International Baccalaureate program; (ii) Non-University Colleges ( _Educación

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Input: **The World Bank** Integrated Community Resilience Project (P506969) PROJECT APPRAISAL DOCUMENT 24. **The proposed PDO-level indicators are:** - Direct project beneficiaries, of which female, refugees, host community residents, and vulnerable to climate change (number); - Beneficiaries of cash for nutrition transfers under the project, of which female, refugees, host community residents (number); - People provided with improved access to basic infrastructure and services, of which female, refugees, host community residents (number); - People supported to enhance their livelihoods and income generation, of which female, refugees, host community residents (number **).** **C. Project Beneficiaries** 25. **The project will have a holistic approach that will benefit underserved communities in Dikhil region, two** **refugee-hosting regions of Obock** **and Ali Sabieh (including Ali Addeh and Holl Holl refugee villages), and expand across** **the country including Djibouti-Ville for the social safety nets.** The project is expected to reach 74,800 direct beneficiaries, including 12,860 refugees (39.4 percent of the total refugee population) and 35,900 host community residents (4.5 percent of the total host population). Beneficiary targets have been set in consideration of the size of the refugees and host community populations. 26. **Intervention areas.** Under component 1, safety net support will be provided across all regions

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Input: 2019, nine safety net programs covered different groups), inadequacy, and unpredictability. Djibouti’s social protection system is currently inadequate to shield poor and vulnerable people from adverse lifecycle impacts or encourage desirable investment in human capital and provides limited coverage. In 2012, social safety net coverage was 9.5 percent, well below regional averages, with government social safety net spending 0.18 percent of GDP, compared with the Middle Eastern and North African average of one percent and the world average of more than 1.5 percent. Social safety net systems are critical in protecting and building the human capital of children threatened by adverse impacts on livelihoods such as environmental shocks. This support is particularly important for the 21 percent of Djiboutians who are extremely poor and have no capacity to smooth consumption and protect their human capital. 9. **Development indicators in Djibouti highlight significant service delivery challenges and multidimensional** **poverty, particularly in rural areas** . Maternal mortality remains high (234 deaths for 100,000 births) with rural areas driving the trend [4] . According to the **Human Capital Review for Djibouti (World Bank, 2024)**, access to basic services such as targeted social safety nets, education and healthcare remains limited, with rural areas experiencing

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Input: a setting that is more likely to mirror commercial-level insurance operations; therefore, it provides a higher level of external validity. The paper will proceed as follows: Section I explains the insurance policies and data that will be studied in the empirical section. Section II provides the main empirical evidence, and shows that recipients of insurance payouts are more likely to purchase insurance the following year. Section III searches for evidence of a number of mechanisms by which this could take place. Section IV discusses a number of behavioral explanations for the results. Section V concludes and offers policy recommendations. **I.** **Index Insurance and Customer Data** In this analysis I study monsoon rainfall index insurance policies underwritten by the insurance company ICICI-LOMBARD and sold by BASIX, a microfinance institution based in Hyderabad. The policies insure against excess or deficit rainfall; they are calculated based on rainfall measured at a stated weather station. By basing payoffs on just rainfall, the policies have low monitoring and verification costs and also should be free of adverse selection and moral hazard (Collier, Skees, and Barnett 2009). These attributes make policies inexpensive to create and administer, which allows them to be sold in small quantities and

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Input: invest in economic opportunity and access to services in the hosting districts; and (b) at the same time, facilitate refugee mobility out of the camps and rural areas into urban centers, where more opportunities are available and self-reliance is more achievable. 8. **Building on the ongoing Phase I of Jya Mbere, Phase II aims to assist refugees and host communities to** **achieve self-reliance.** Compared to when Phase I commenced, there is now greater understanding conceptually and in practical terms of what it takes to achieve self-reliance. The Rwanda RSRI has seven domains: education, health, labor, income, food security, ID/social capital, and housing, with the first four to be supported by Phase II (plus environmental management). Complementing the RSRI, the 2022 _National Graduation Strategy_ provides guidance on the characteristics of those who have “graduated” out of long-term poverty into self-reliance, including livelihood diversification, savings, and access to markets and services, all of which will be supported by Jya Mbere II. 9. **Climate change poses risks to Rwanda’s positive economic outlook and refugees are particularly vulnerable** **to climate shocks** . Ranked 112 out of 185 countries in the 2021 Notre Dame-Global Adaptation Index (ND-GAIN), Rwanda is vulnerable to flooding, heat, drought, and

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Input: the basis for improved skills in a transition towards lower-carbon economies. On mitigation, the activities supported by the Project are expected to generate negligible Greenhouse Gas (GHG) emissions, and as such, do not pose material risks of having a negative impact on the country’s low emission targets. **II.** **PROJECT DESCRIPTION** **A. Project Development Objective** **PDO Statement** 19. The Project Development Objective is to enhance MEP efficiency and improve foundational learning, digital competencies, and employability skills of students in MEP administered schools. **PDO Level Indicators** i. **PDO 1: Enhancing MEP Efficiency:** Indicator 1: Reduction in processing times for selected administrative and management processes within MEP. ii. **PDO 2: Improving foundational learning, digital competencies and employability skills** : Indicator 2: Percentage of Grade 3 students who surpass Basic level in National Assessments for Reading and Mathematics; Indicator 3: Percentage of students who have met the Intermediate achievement level of digital instruction corresponding to their Grade; Indicator 4: Percentage of technical stream secondary education students with micro-credentials registering English proficiency (all these indicators will be disaggregated by gender and by indigenous and refugee/migrant status). [23] 23 The Project will support block-chain backed micro-credentials (these are authenticated digital certificates, with the block-chain ensuring the

National Assessments for Reading and Mathematics

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Input: registration plan that includes vulnerable people within the refugee and host population, for example, single women and people with disabilities. Specific activities to be supported include the following: (a) Procurement of approximately 150,000 paper-based cards or polycarbonate cards (out of the 20 million that the Government will buy for citizens) (b) Transfer of the UNHCR ProGres [22] database to the MoHAIS (separate servers and peripheral equipment) (c) IT upgrading at MoHAIS offices in the three refugee settlements to enable all future documentation requests to be done locally and digitally, eliminating the need for travel to Lusaka (d) Community-level customized campaigns for refugees in three districts, including mobile registration camps targeting women and girls (e) Biometric registration kits. 30. The project will uphold approved operating procedures applied by the Department of National Registration within the MoHAIS in safeguarding personal data, aligned with the GRZ’s Data Protection Act of 2021. MoHAIS officials will benefit 20 Refers to refugees, asylum-seekers, refugee returnees, stateless people, and the internally displaced. 21 Statelessness and Climate Change Factsheet, UNHCR, 2021. 22 UNCHR’s registration and case management system Page 15

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Input: physical assaults, kidnappings, murders, sexual violence but also incidents related to explosive devices (ED). The security situation and military operations in neighboring countries (Mali, Burkina Faso, Nigeria), the continuation of NSAG incursions into Niger, the intensification of operations by the Defense and Security Forces (DFS) are all factors that predict the persistence of ED threats in Niger. Indeed, since 2022, the threat of ED has continued to rage in the regions of Tillabery and Diffa. The Protection Cluster recorded approximately 55 ED-related incidents in 2022 (a 34% increase compared to 2021). From January to June 2023, 32 ED incidents were reported, representing more than half of the total number of incidents reported in 2022. It is also worth highlighting the problem of food insecurity which affects several departments, including those affected by ED threats. In fact, faced with the effects of food insecurity, communities could resort to negative coping strategies, in particular that of venturing into areas affected by ED in search of means of subsistence or even collecting scrap metal found on explosive remnants of war for resale. In the face of a growing threat from ED, mine action capacities remain limited in Niger. Considerable challenges exist both in

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Input: at the country level. Our overall environmental indicator is the mean of the five thematic indicators. [9] We use log values for the analysis because the size distributions of country indicators and resource allocations are extremely 8 For biodiversity, our data include only Bank lending. Grants by the Global Environment Facility (GEF) for biodiversity conservation are not included in this analysis, but the GEF is currently conducting a parallel analysis of its own resource allocation. 9 All indicators are normalized to the range [0-100], so they have equal weight in determining the mean indicator. 11

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Input: in 2020 (only 49 percent of needs) to US$37 million in 2023 (41 percent of needs), despite almost no change in refugee numbers. 6. **Progress towards achieving refugee self-reliance is hampered by a lack of employment and income-** **generating opportunities.** A tailored Refugee Self-Reliance Index (RSRI) prepared by the GoR, the World Bank and UNHCR measures refugee self-reliance in Rwanda. As noted above, the 2022 census and the first round of RSRI data showed that most refugees have good access to basic services, but fare poorly with respect to employment and income. The employment to population ratio for refugees is 15 percent as against 46 percent for the total population. According to the RSRI survey, just 24 percent of refugees reported doing paid work in the previous seven days (though this increases to 45 percent for refugees living in Kigali) and only eight percent run a business or are engaged in farming. Low income is reflected in poor food security, with almost 60 percent of refugee households reporting that they typically eat only one meal per day. The main reasons provided for the low employment levels were lack of skills (44 percent) and lack of information about the local labor

tailored Refugee Self-Reliance Index
2022 census
RSRI survey

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Input: The choice of district – rather than cluster – fixed effect is informed by the understanding that meaningful time-invariant factors - such as mining laws, level of development, local political institutions, norms regarding environment, women’s participation in the labor market, etc. - that influence exploitation of the mine happens at the district level. Including district fixed effects, we control for various institutional and cultural factors at the district level that are stable over time. Including district fixed effects also ensures that we are not only capturing effects from transfers or the fiscal system as we compare individuals within the same districts. With this method we capture the geographic spillover effects in the vicinity of the mine. Moreover, cluster fixed effects are not possible because of clusters are not repeatedly sampled over time. However, since the estimation is at individual level, all standard errors are clustered at the DHS cluster level. The sample is restricted to individuals living within 100 km of a deposit location ( _mine_ ), so many parts of Northern Ghana where there are few gold mines are not included in the analysis. The sample restriction is created by using the time-stable continuous distance measure that we calculate

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Input: this error, I run simulations where I assume that the BASIX data has been matched completely correctly and then induce “measurement error” by randomly changing the dependent variable of whether people purchased the following year or not. With the introduction of 10 percent matching errors (with an equal probability of a mismatch for buyer or nonbuyers), the coefficient on receiving a payout in the full sample (column 1) falls from .090 to an average of .072 over 1,000 simulations. For the marketing restricted sample in column 2, it drops from .222 to .178. In other words, if one assumes 10 percent matching errors, then the estimated coefficients are likely to be underestimated by around 20 percent. It also may be possible that most of the error came from being unable to identify positive matches, possibly due to different members of a household signing the insurance contract from year to year. Repeating the above simulation but assuming that only people who were found not to have bought the next year could have been errors, the coefficients become underestimated by around 10 percent. Although the exact form and structure of the matching errors cannot be known, it is possible that the reported

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Input: prioritize on-farm value chains such as cassava, maize, soybeans, sunflowers, groundnuts, sorghum, sesame, as well as aquaculture. Off-farm livestock activities could consider trading, baked goods, agro-technology (milling), apiary, piggery, and cattle-rearing for milk and beef value chains. In refugee settings, where land access is relatively limited, non-farm enterprises and small livestock (e.g., poultry) will be encouraged. Utilizing existing diagnostics, a list of high potential value chain options by order of priority for the targeted regions has been developed. Each district will target two-three of these key value chains to ensure scale, impact, and synergy with ongoing investments. Priority value chains will inform group-based investments through the CDD model, where a positive list will be presented to beneficiaries for informed choice. 38. **For selected value chains, the sub-component will strengthen coordination efforts at the national and district** **levels to avoid duplication.** The project will support the development of a District Economic Opportunities Plan (DEOP) that will outline existing efforts in the chosen value chains, identify private sector players and off-takers, and compile a catalogue of assets and infrastructure requiring construction or maintenance. The DEOP will serve as a framework for DRDIP II investments to collaborate effectively with activities under the Uganda

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Input: with World Bank-funded projects applying the ESF; (b) multiplicity of stakeholders with a fragmented coordination mechanism, coupled with weak institutional capacity; (c) potential risk of exclusion, which could exacerbate existing tensions of inequality among refugees and host communities; (d) disproportionate impacts of planned activities on vulnerable groups, (e) risk of labor influx leading to increased incidences of GBV, sexual exploitation and abuse (SEA), and sexual harassment (SH) based on the contextual environment; (f) lack of privacy in the use of personal data; and (g) potential physical and economic impacts. 71. To mitigate identified environment and social risks, an Environmental and Social Management Framework (ESMF) has been prepared, with guidelines for site-specific Environmental and Social Impact Assessments (ESIAs), corresponding Environmental and Social Management Plans (ESMPs), and other relevant instruments when applicable. A SEP has been prepared, which outlines the process of consultations to be conducted throughout the project cycle with identified stakeholders (particularly women, youths, persons with disability, and the elderly), using culturally appropriate methods for provision of accurate project information. The SEP also describes the grievance process which is responsive to GBV/SEA/SH. Agreed actions for monitoring project risks are specified in the Environmental and Social Commitment Plan (ESCP). The ESCP,

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Input: in active mining communities are marginally older, more likely to never have moved, and more likely to be or have been in a cohabiting relationship or married. Given the women’s slightly higher age, it is not surprising to find that they have higher fertility and lower schooling (assuming that schooling has increased over time in Ghana). 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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Input: Policy Research Working Paper 9447 ###### **Abstract** Flooding is among the most prevalent natural hazards affecting people around the world. This study provides a global estimate of the number of people who face the risk of intense fluvial, pluvial, or coastal flooding. The findings suggest that 1.47 billion people, or 19 percent of the world population, are directly exposed to substantial risks during 1-in-100 year flood events. The majority of flood exposed people, about 1.36 billion, are located in South and East Asia; China (329 million) and India (225 million) account for over a third of global exposure. Of the 1.47 billion people who are exposed to flood risk, 89 percent live in low- and middle-income countries. Of the 132 million people who are estimated to live in both extreme poverty (under $1.9 per day) and in high flood risk areas, 55 per cent are in Sub-Saharan Africa. About 587 million people face high flood risk, while living on less than $5.5 per day. These findings are based on high-resolution flood hazard and population maps that enable global coverage, as well as poverty estimates from the World Bank’s Global Monitoring Database of harmonized household surveys. This paper is a product

Global Monitoring Database of harmonized household surveys

high-resolution flood hazard and population maps

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Input: 9.745 6.292 9.759 8.111 ... disputes could not be resolved by village 1.248 0.074 0.724 0.894 0.042 1.690 0.933 leaders **Results** Contract now longer than 30 years 0.987 0.993 0.980 0.977 1.000 0.983 0.993 Contract now permanent 0.717 0.792 0.497 0.481 0.848 0.861 0.860 _Source:_ Own computation from 2014 Chengdu village survey for three counties inside Chengdu based on 153 villages. . 18

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Input: Local 27 UNDP. 2022. _Needs Assessment Report for the Promoting Human Security through Sustainable Resettlement_ _Programme._ 28 UNHCR. 2023. _Socioeconomic Survey Report: Zambia_ . 29 UNHCR. 2022. _Working towards One Meheba - GAP Analysis_ . 30 The low population density, lack of any obvious farming activity, and absence of markets to the south of the Mwafwe River mean that upgrading the second portion of the road past the Mwafwe bridge is deemed not economically viable at this time and not a priority for the project. 31 The REA project involves electricity supply to Maheba C Primary School, Maheba D Primary School, Maheba D RHC, Maheba Markets 1 and 2, Maheba E Community School, Maheba F Primary school, Maheba F RHC, Maheba G Primary School, Brave Heart RHC, Kamiba Primary School, Kamiba RHC, and surrounding areas. The work involves construction a total of 36.471 km 33 kV of overhead lines (OHL) from an existing 33 kV OHL at Maheba B and 23.315 km of 400 V OHL. 32 There are a total of 15 schools in the settlement—2 secondary schools, 8 primary schools, and 5 providing early childhood education (ECE). 33 Ministry of General Education, Zambia, 2020. Page 17

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Input: are at approximately 90m spatial resolution, the global wetlands data are compiled from a range of sources resulting in generalized areas. Also, the correspondence 20 Tol 2007 drew on the Global Vulnerability Analysis and other country studies for quantification of wetland loss from 1 m SLR for a global analysis including small island nations. 13

the global wetlands data
global wetlands data

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Input: for CBI TWG meetings and participate in CBI TWG meetings on a regular basis. They are responsible for sharing programmatic information and updates, technical inputs, lessons-learnt, and actively participating in setting the strategic direction of the CBI TWG. **Secretariat:** UNHCR acts as secretariat and is responsible for information and knowledge management which includes gathering of information from partners, and publishing on the dedicated page of the interagency data portal managed by UNHCR for CBI TWG. **Information Management Officer (IMO):** This role is held by UNHCR, and it carries responsibility of managing and facilitating efficient data-related processes including overseeing the collection and analysis of data in the CBI Mapping process, as well as the production and dissemination of CBI TWG dashboards and relevant analyses to platform partners. The IMO is tasked with identifying the information needs of the platform and its partners, encouraging a culture of structured and secure information sharing among all stakeholders through well-defined sectoral mechanisms. Additionally, the IMO supports partners in continuously updating their CBIs on the Services Advisor. A key aspect of this role involves the development, collection, processing, analysis, storage, and sharing of data within the CBI TWG. **Technical Advisory Group:** Comprising a group of CVA

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Input: 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. 14 In panels Ba, Bb, and Bc of Appendix figure A1, we analyze access to radio. We learn that access to radio is higher close to active mines, and that this seems true according to both the first method (Ba), according to the spatial lag model (Bb), and for both migrants and nonmigrants (Bc). The difference in effects between electricity and radio access might be due to electricity being more dependent on public infrastructure, and that electricity access may come with a time lag to other development indicators such as employment and access to radio, since a battery radio can be bought and used instantly, and easily moved. 26

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