数据包络分析
集聚经济
面板数据
溢出效应
经济
边疆
城市群
环境经济学
计量经济学
自然资源经济学
经济地理学
微观经济学
地理
数学
数学优化
考古
作者
Wei Zhang,Xuemeng Liu,Shikuan Zhao,Tian Tang
出处
期刊:Applied Energy
[Elsevier]
日期:2024-01-02
卷期号:358: 122561-122561
被引量:17
标识
DOI:10.1016/j.apenergy.2023.122561
摘要
Promoting the synergies between economic growth and carbon reduction is crucial for achieving carbon neutrality goals. Understanding the determinants of carbon emission performance (COP) is important for improvement. However, empirical examinations of the linkages between green finance agglomeration (GFA) and COP remain limited. Utilizing a panel data of 30 Chinese provinces from 2007 to 2019, we measure COP via meta-frontier data envelopment analysis. We employ a spatial Durbin model (SDM) to investigate the spatial spillover effects of GFA on COP. Our findings reveal COP has a substantial positive spatial correlation between provinces. We further observe that GFA has a direct and spatially dependent impact on regional COP. The effects vary based on different green finance instruments and regions. GFA enhances COP through capital formation, energy transition, and technological advancement, although asymmetry effects exist between local and neighboring regions. Promoting regional GFA formation through interprovincial cooperation and coordination for optimizing green finance allocation is vital. Moreover, increased financial support towards green, low-carbon projects and enterprises can raise overall regional COP.
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