Table 3 Variable definitions and measurement methods.
From: Factors influencing environmental inspection legislation: evidence from China
Variable | Definition and measurement | Data source | Calibration criteria |
|---|---|---|---|
X1: Political Pressure from the Central Government | Measured by the number of environmental accountability cases transferred to each provincial-level administrative region during the first round of central environmental inspections. | Publicly available inspection reports from the Ministry of Ecology and Environment | Raw data are calibrated using the direct calibration method: Raw percentage data are calibrated using the direct calibration method: fully in (≥top 5th percentile nationwide), maximum ambiguity (median), and fully out (≤bottom 5th percentile nationwide). |
X2: The Legislative Stock for Supervising Administrative Enforcement | Degree of legislative completeness for administrative enforcement supervision at the provincial level (0–1 scale), assigned based on six legislative models: 0 = No local legislation or government regulations; 0.2 = Non-specialized local legislation only; 0.4 = Specialized local government regulations only; 0.6 = Both non-specialized local legislation and specialized local government regulations; 0.8 = Specialized local legislation only; 1 = Both specialized local legislation and specialized local government regulations. | Peking University Law Database. | Values are directly assigned based on legislative model classification. |
X3: The Share of the Secondary Sector | The share of the secondary sector in GDP (%, averaged from 2017 to 2022). | China Statistical Yearbook (2018–2023). | Raw percentage data are calibrated using the direct calibration method: fully in (≥ top 5th percentile nationwide), maximum ambiguity (median), and fully out (≤bottom 5th percentile nationwide). |
X4: Resource Allocation for Environmental Enforcement | Public fiscal expenditure on energy conservation and environmental protection (10,000 RMB, averaged from 2017 to 2022) at the provincial level. | China Statistical Yearbook (2018–2023). | Raw data are calibrated using the direct calibration method: fully in (≥top 5th percentile nationwide), maximum ambiguity (median), and fully out (≤ bottom 5th percentile nationwide). |
X5: Public Demand for Environmental Quality | Per capita GDP (10,000 RMB, averaged from 2017 to 2022) at the provincial level. | China Statistical Yearbook (2018–2023). | Raw data are calibrated using the direct calibration method: fully in (≥ top 5th percentile nationwide), maximum ambiguity (median), and fully out (≤ bottom 5th percentile nationwide). |