| { |
| "id": "medium010", |
| "question": "In 2022, based on the 'high input low output' hypothesis in Romer's endogenous growth theory, verify whether state-owned enterprises in the semiconductor industry exhibit the dual anomaly of 'large asset scale but low operating profit margin' and 'high R&D investment but low patent conversion efficiency'. The hypothesis states: when state-owned enterprises rank high in the industry in both asset scale (total assets) and R&D investment (amount), their operating profit margin (operating profit / revenue) and patent conversion efficiency (cumulative China invention patent grants / R&D investment × 100 million) should rank low in the industry. Please count the number of enterprises that simultaneously satisfy the following conditions (state-owned enterprises include central state-owned enterprises, local state-owned enterprises, state-owned enterprises (research institutes), and state-owned enterprises (other)): ① total assets > median total assets of industry-wide state-owned enterprises; ② operating profit margin < median operating profit margin of industry-wide state-owned enterprises; ③ R&D investment amount > median R&D investment amount of industry-wide state-owned enterprises; ④ patent conversion efficiency < median patent conversion efficiency of industry-wide state-owned enterprises.", |
| "guidelines": "Answer format: numerical value (integer, unit: enterprises). If relevant data cannot be found, please answer \"No relevant data found\"", |
| "answer": "3", |
| "metadata": { |
| "db": "bm_rag_qa", |
| "level": "medium", |
| "category": "hypothesis_verification" |
| }, |
| "steps": [ |
| "Filter from company_profile.csv enterprises with industry=\"semiconductor\" and ownership as state-owned enterprise types (central state-owned enterprise, local state-owned enterprise, state-owned enterprise (research institute), state-owned enterprise (other)), finding 32 state-owned enterprises.", |
| "From company_operation_status.csv, associate 2022 data for these enterprises, extract total assets, operating profit amount, revenue amount, R&D investment amount, and cumulative China invention patent grants fields. Data associated for 32 enterprises.", |
| "Filter out enterprises with empty or zero revenue amount, 32 valid enterprises remain. Calculate operating profit margin = operating profit amount / revenue amount × 100%.", |
| "Filter out enterprises with empty or zero R&D investment amount, 32 valid enterprises remain. Calculate patent conversion efficiency = cumulative China invention patent grants / R&D investment amount × 100 million.", |
| "Calculate median for each indicator: median total assets = 5937801202.30 yuan, median operating profit margin = 11.9667%, median R&D investment amount = 245125759.25 yuan, median patent conversion efficiency = 50.7635 grants per 100 million yuan.", |
| "Filter enterprises satisfying all four conditions: total assets > median (16), operating profit margin < median (16), R&D investment amount > median (16), patent conversion efficiency < median (15). Enterprises satisfying all four conditions: 3.", |
| "Count dual anomaly enterprises: 3." |
| ], |
| "steps_num": 7, |
| "milestone": "{\"Total number of state-owned enterprises\": 32, \"Number of valid enterprises\": 32, \"Median total assets (yuan)\": 5937801202.3, \"Median operating profit margin (%)\": 11.9667, \"Median R&D investment amount (yuan)\": 245125759.25, \"Median patent conversion efficiency (grants per 100 million yuan)\": 50.7635, \"Number of enterprises satisfying conditions\": 3}" |
| } |
|
|
