Author
Listed:
- Jingyuan Li
(School of Management, Wuhan Institute of Technology, Wuhan 430205, China
School of Economics, Wuhan Business University, Wuhan 430056, China)
- Yingchen Ge
(School of Law and Business, Wuhan Institute of Technology, Wuhan 430205, China
School of Accountancy, Economics and Finance, Massey University, Palmerston North 4472, New Zealand)
- Shuke Fu
(School of Law and Business, Wuhan Institute of Technology, Wuhan 430205, China
Center for High Quality Collaborative Development of Resources, Environment and Economy, Wuhan Institute of Technology, Wuhan 430205, China)
- Jiachao Peng
(School of Law and Business, Wuhan Institute of Technology, Wuhan 430205, China
Center for High Quality Collaborative Development of Resources, Environment and Economy, Wuhan Institute of Technology, Wuhan 430205, China
Chinese Academy of International Trade and Economic Cooperation, Beijing 100710, China
School of Business Administration, Zhejiang Gongshang University, Hangzhou 310018, China)
- Jiali Tian
(School of Law and Business, Wuhan Institute of Technology, Wuhan 430205, China
Center for High Quality Collaborative Development of Resources, Environment and Economy, Wuhan Institute of Technology, Wuhan 430205, China)
- Meina Liu
(School of Law and Business, Wuhan Institute of Technology, Wuhan 430205, China)
Abstract
Against the backdrop of China’s strategic goals of achieving carbon peaking and carbon neutrality, a key question is whether renewable electricity generation (REG) is associated with lower carbon emission intensity (CEI). To address this issue, this study employs panel data from 30 Chinese provinces from 2005 to 2024 and combines the Tapio decoupling model, Moran’s I test, and the spatial Durbin model (SDM), with the ordinary least squares (OLS) used as a benchmark to analyze the decoupling evolution, spatial spillover associations, and potential transmission channels between REG and CEI. The findings show that: (1) the relationship between REG and CEI evolves from weak decoupling to strong decoupling, suggesting a potentially nonlinear relationship; (2) CEI exhibits significant spatial autocorrelation and regional clustering; (3) REG is significantly associated with lower CEI, with both local and spatial spillover associations; (4) the local mitigation association is stronger in eastern and higher-CEI provinces, while spillover effects are more pronounced in western, northeastern, and resource-based provinces; and (5) the REG-CEI association may operate through energy structure (ES) optimization and energy intensity (EI) reduction, while environmental regulation (ER) may strengthen this association. The endogeneity tests provide supplementary evidence consistent with these findings, although they should not be interpreted as definitive causal proof. Overall, this study contributes to the sustainability literature by showing that the REG-CEI relationship is not merely a static local association, but a dynamic and spatially differentiated pattern shaped by regional coordination and energy-system adjustment. These findings provide evidence relevant to sustainability-oriented energy policy by suggesting that renewable electricity development should be assessed not only by generation scale, but also by its association with carbon-intensity reduction, spatial coordination, and energy-system efficiency
Suggested Citation
Jingyuan Li & Yingchen Ge & Shuke Fu & Jiachao Peng & Jiali Tian & Meina Liu, 2026.
"The Decoupling Relationship Evolution, Spillover Effects, and Characteristic Trends Between Renewable Electricity Generation and Carbon Emission Intensity in China,"
Sustainability, MDPI, vol. 18(12), pages 1-64, June.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:12:p:6338-:d:1972197
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