绿色信贷对我国产业结构优化效应的实证分析

An Empirical Analysis of the Effect of Green Credit on the Optimization of China's Industrial Structure

在理论分析绿色信贷通过资本形成、资本导向、信息传导、产业整合、风险分配机制影响产业结构优化的基础上,使用灰色关联模型实证分析绿色信贷与产业结构优化的相关性,研究结果为绿色信贷与第三产业关联度最高、第二产业次之、第一产业最低。然后选取我国2004—2017年的省际面板数据进行回归分析,同时进行区域面板和分阶段面板实证研究,得出绿色信贷在一定程度上促进产业结构优化,但影响有限。最后针对政府及金融监管部门、银行等金融机构两方面提出对策建议,以促进绿色信贷对产业结构优化正向效应的有效发挥。

Based on the theoretical analysis of the influence of green credit on the optimization of industrial structure through capital formation, capital orientation, information transmission, industrial integration and risk distribution mechanism, this paper uses the grey correlation model to make an empirical analysis,and analyze the correlation between green credit and industrial structure optimization.The results show that green credit has the highest correlation with the tertiary industry, the secondary industry takes the second place, and the primary industry is the lowest.Then we select the provincial panel data of China from 2004 to 2017 for regression analysis. At the same time, we do empirical research on Regional Panel and staged panel, and conclude that green credit can promote industrial structure optimization to a certain extent, but the impact is limited.Finally, the government and financial supervision departments, banks and other financial institutions proposed suggestions to promote the effective effect of green credit on the optimization of industrial structure.