Does green finance improve the industrial eco-efficiency in China?

被引:4
|
作者
Zhang, Wei [1 ]
He, Xiaolin [1 ]
Liu, Xuemeng [1 ]
机构
[1] China Univ Geosci, Sch Econ & Management, 68 Jincheng St, Wuhan 430078, Hubei, Peoples R China
关键词
Green finance; Industrial eco-efficiency; Double fixed effect model; Super-efficiency SBM model; Nonlinear relationship; The vertical and horizontal scatter degree method;
D O I
10.1007/s11356-022-23147-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Improving industrial eco-efficiency is of great significance for building a beautiful China and achieving its carbon peak and neutrality targets. Based on the panel data of 30 provinces in China from 2007 to 2018, this paper uses the super-efficiency SBM model to measure industrial eco-efficiency and empirically tests the influence of green finance on Chinese industrial eco-efficiency from the national and regional levels. The results show that the average level of industrial eco- efficiency in China is relatively stable during the study period with a large space for advancement. Second, there is spatial heterogeneity in Chinese industrial eco-efficiency, showing a gradually decreasing "southeast-northwest" ladder-like distribution. Third, the national-level regression results show that there is a significant "U-shaped" relationship between green financing and industrial eco-efficiency. In addition, the regression results at the regional level indicate that there is regional heterogeneity in the impact of green finance on industrial eco-efficiency. Finally, based on the research conclusions, specific suggestions on how green finance can improve industrial eco-efficiency in China are put forward, including vigorously developing green finance at the macro and micro levels, and exerting the positive effects of green finance in improving industrial eco-efficiency according to the area and the development level of green finance.
引用
收藏
页码:14484 / 14496
页数:13
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