School of Economics and Management, China University of Geosciences, Wuhan, 430078, China.
, Wuhan City, China.
Environ Sci Pollut Res Int. 2022 Sep;29(45):68976-68989. doi: 10.1007/s11356-022-20670-8. Epub 2022 May 13.
This article discusses the influence and mechanism of green finance on carbon emission efficiency. Based on the panel data of 27 provinces and municipality in China from 2008 to 2017, the slack-based model of unexpected output is used to measure the efficiency of carbon emissions. On this basis, the Tobit model is used to empirically study the impact and mechanism of green finance on the efficiency of carbon emissions. The consequences exhibit that (1) China's carbon emission efficiency is not high and generally presents a gradient decreasing characteristic of east, middle, and west. (2) Overall, green finance plays a considerable role in improving carbon emission efficiency; by region and group, there are significant differences in the influence of green finance on carbon emission efficiency. (3) The study found that green finance promotes the efficiency of carbon emission through technological progress and industrial structure upgrading. This study provides empirical evidence and policy enlightenment for the realization of carbon peaking and carbon neutrality goals and the evolution of green finance.
本文探讨了绿色金融对碳排放效率的影响及作用机制。基于 2008-2017 年中国 27 个省、直辖市的面板数据，采用非期望产出松弛变量模型测算了碳排放效率。在此基础上，运用 Tobit 模型实证研究了绿色金融对碳排放效率的影响及作用机制。结果表明：（1）中国碳排放效率不高，总体呈现东、中、西部依次递减的特征。（2）绿色金融整体上对提高碳排放效率起到了较大的作用；分区域、分群组来看，绿色金融对碳排放效率的影响存在显著差异。（3）研究发现绿色金融通过技术进步和产业结构升级促进了碳排放效率的提升。本文为实现碳达峰、碳中和目标以及绿色金融演进提供了经验证据和政策启示。
