Management Science and Engineering Research Center, Jiangxi Normal University, Nanchang, 330022, Jiangxi, China.
Jiangxi Institute of Economic Development, Jiangxi Normal University, Nanchang, 330022, Jiangxi, China.
Environ Sci Pollut Res Int. 2024 Jan;31(1):757-771. doi: 10.1007/s11356-023-30734-y. Epub 2023 Nov 29.
Based on an analysis of the relationship between green finance and total factor carbon emission reduction efficiency, this article measures the levels of green finance and total factor carbon emission reduction efficiency in 30 provinces and cities in China. It also establishes a spatial Durbin model to quantitatively explore the impact of green finance on China's total factor carbon emission reduction efficiency. The results indicate that currently, green finance and total factor carbon emission reduction efficiency in China follow a distribution pattern of high in the east, medium in the central region, and low in the west. The impact of green finance on total factor carbon emission reduction efficiency demonstrates a U-shaped relationship, and the spatial spillover effect between the two displays a similar U-shaped trend. The mechanism analysis demonstrates that green finance exerts a U-shaped influence on the efficiency of reducing total factor carbon emissions through the interplay of technological progress and technical efficiency enhancements. Other variables, such as research and development investment, comprehensive energy consumption, human capital, infrastructure construction, and government regulation, also have an impact on total factor carbon emission reduction efficiency. Therefore, it is recommended that regions strengthen their green finance initiatives, support efforts to carbon emission reduction, and contribute towards achieving the "dual-carbon" goal.
基于绿色金融与全要素碳减排效率关系的分析，本文测算了中国 30 个省（市）的绿色金融与全要素碳减排效率水平，运用空间 Durbin 模型定量探讨了绿色金融对中国全要素碳减排效率的影响。结果表明，目前中国绿色金融与全要素碳减排效率呈现东部高、中部中、西部低的分布格局。绿色金融对全要素碳减排效率的影响呈现出先促进后抑制的“U 型”关系，二者之间的空间溢出效应也呈现出类似的“U 型”趋势。机制分析表明，绿色金融通过技术进步和技术效率提升的交互作用对全要素碳减排效率产生“U 型”影响。研发投入、综合能源消费、人力资本、基础设施建设以及政府规制等变量也对全要素碳减排效率产生影响。因此，建议各地区加强绿色金融举措，支持碳减排工作，为实现“双碳”目标贡献力量。
