Spatial Spillover Effects of the Coupling Coordination Degree between Digital Economy and Environmental Regulation on Carbon Productivity
Description
Description: This dataset contains the balanced panel data of 282 prefecture-level cities in China from 2011 to 2023, supporting the empirical analysis of the coupling coordination degree between digital economy and environmental regulation and its spatial spillover effects on carbon productivity. The dataset includes variables on carbon productivity, digital economy development, environmental regulation intensity, industrial structure, marketization level, and related socioeconomic indicators. All data are sourced from publicly available statistical yearbooks and databases (see Data Sources below). Data Sources: China City Statistical Yearbook (2012–2024) China Emission Accounts and Datasets (CEADs) Digital Financial Inclusion Index of Peking University Chinese Research Data Services Platform (CNRDS) Baidu Index platform Government work reports of prefecture-level cities File Description: 城市面板数据.xlsx: Main panel dataset containing all variables for 282 cities × 13 years (3,666 observations) 数字经济数据.xlsx: Raw data for digital economy index construction 碳排放强度.xlsx: Raw carbon emission data for carbon productivity calculation 地级市资源型城市名单、分类数据.xlsx: Classification of resource-based and non-resource-based cities *.do files: Stata do-files for data processing, spatial econometric analysis, robustness checks, and heterogeneity tests Variables: Variable Description Unit/Source ln_CP Carbon productivity (natural logarithm of GDP/CO₂ emissions) CEADs, statistical yearbooks ccd Coupling coordination degree between digital economy and environmental regulation Author-calculated isu Industrial structure upgrading (tertiary/secondary industry value-added ratio) Statistical yearbooks mar Marketization level (reverse-scored government expenditure/GDP ratio) Statistical yearbooks pgdp Economic development level (ln per capita GDP) Statistical yearbooks lev Industrialization level (secondary industry share in GDP) Statistical yearbooks sl Stable nighttime light intensity NOAA fdi Foreign direct investment (ln actually utilized FDI) Statistical yearbooks edu Human capital (ln college students per 10,000 residents) Statistical yearbooks pop Population density (ln year-end resident population) Statistical yearbooks Methodology: The coupling coordination degree was calculated using the entropy weight method and coupling coordination model. Spatial econometric analyses were conducted using the Spatial Durbin Model (SDM) with economic-geographical nested spatial weight matrix. See the related publication for detailed methodology. License: CC BY 4.0 Related Publication: Wu, S.; Yin, C. Spatial Spillover Effects of the Coupling Coordination Degree between Digital Economy and Environmental Regulation on Carbon Productivity. Sustainability 2025, submitted.