Research on the Strategy of Industrial Structure Optimization Driven by Green Credit Distribution

Abstract

Credit is an important means to promote economic development, while green credit is conducive to the sustainable development of industry. This paper aims to build a multiple linear regression model and a dynamic panel data GMM estimation model to analyze the important factors that affect the optimization of the industrial structure. We then use an analytic hierarchy process to explore the relationship between green credit and industrial optimization. We compare this with the optimization rate of the industrial structure according to real data, and then obtain the effectiveness of the hierarchical analysis of the three major industries in the eastern, central and western regions. Finally, neural networks are used to forecast the total amount and distribution of green credit in 2021. The final results show that there are regional and industrial differences in the influence of green credit on industrial structure optimization, and in the process of using green credit to promote the optimization and upgrading of industrial structure.

The Impact of China’s National Sustainable Development Experimental Zone Policy on Energy Transition

“…The sustainable development experimental zone is the foothold on which the national and local governments can jointly promote the implementation of a series of sustainable development policies. The government can speed up the adjustment of the industrial structure by formulating strict environmental laws and regulations [62,63], fiscal policies [64], incentives [61], and other measures. Levinson and Sen pointed out that the formulation of environmental regulations can promote the upgrading of the industrial structure and reduce pollutant emissions [65,66].…”