| { |
| "id": "medium007", |
| "question": "In the 2022 data, to verify the hypothesis that private enterprises in the communications transmission equipment industry benefit more from policies than state-owned enterprises, we focus on communications transmission equipment enterprises in provinces that have issued local policies involving the \"communications\"-related industry. Enterprises are grouped by ownership type (private enterprises vs. state-owned enterprises, where state-owned enterprises include only central state-owned enterprises and local state-owned enterprises). Within each group, the per capita revenue (total revenue / total number of employees) is calculated using the weighted consolidation method. Finally, return the specific difference between per capita revenue of the private enterprise group and that of the state-owned enterprise group.", |
| "guidelines": "Answer format: numerical value (retain 2 decimal places, unit: yuan/person). A positive value indicates private enterprises are higher. If relevant data cannot be found, please answer \"No relevant data found\"", |
| "answer": "245418.07", |
| "metadata": { |
| "db": "bm_rag_qa", |
| "level": "medium", |
| "category": "hypothesis_verification" |
| }, |
| "steps": [ |
| "Filter policy records from policy_release_status.csv where policyClassification=\"local policy\" and the industry field contains \"communications\", finding 48 relevant policies. Extract the deduplicated province field (excluding \"national\"), obtaining 18 provinces with policies: Shanghai, Yunnan, Beijing, Sichuan, Anhui, Shandong, Guangdong, Xinjiang Uygur Autonomous Region, Jiangxi, Henan, Hainan, Hubei, Hunan, Fujian, Guizhou, Liaoning, Chongqing, Shaanxi.", |
| "Filter from company_profile.csv companies whose industry contains \"communications transmission equipment\" and province is among the policy provinces. Extract company name, bmCode, and ownership fields, finding 88 companies.", |
| "Divide enterprises into the private enterprise group (ownership=\"private enterprise\", 61 companies) and the state-owned enterprise group (ownership is \"central state-owned enterprise\" or \"local state-owned enterprise\", 21 companies).", |
| "From company_operation_status.csv, associate 2022 data based on bmCode, extract revenue amount and total employee fields. Private enterprises: 61 associated; state-owned enterprises: 21 associated.", |
| "Filter out records with empty revenue amount or total employees, or zero total employees. Valid private enterprises: 61; valid state-owned enterprises: 20.", |
| "Calculate per capita revenue of private enterprise group = total revenue of private enterprises / total employees of private enterprises = 1009833229861.02 / 471176 = 2143218.73 yuan/person; calculate per capita revenue of state-owned enterprise group = total revenue of state-owned enterprises / total employees of state-owned enterprises = 227578562511.11 / 119917 = 1897800.67 yuan/person.", |
| "Calculate difference = per capita revenue of private enterprises - per capita revenue of state-owned enterprises = 2143218.73 - 1897800.67 = 245418.07 yuan/person." |
| ], |
| "steps_num": 7, |
| "milestone": "{\"List of provinces with policies\": [\"Shanghai\", \"Yunnan\", \"Beijing\", \"Sichuan\", \"Anhui\", \"Shandong\", \"Guangdong\", \"Xinjiang Uygur Autonomous Region\", \"Jiangxi\", \"Henan\", \"Hainan\", \"Hubei\", \"Hunan\", \"Fujian\", \"Guizhou\", \"Liaoning\", \"Chongqing\", \"Shaanxi\"], \"Number of private enterprises\": 61, \"Number of state-owned enterprises\": 20, \"Total revenue of private enterprises\": 1009833229861.02, \"Total employees of private enterprises\": 471176, \"Total revenue of state-owned enterprises\": 227578562511.11, \"Total employees of state-owned enterprises\": 119917, \"Per capita revenue of private enterprises\": 2143218.73, \"Per capita revenue of state-owned enterprises\": 1897800.67}" |
| } |
|
|
