The Promoting Role of Green Finance Reform and Innovation on the Sustainable Development of Low-Carbon Enterprises - An Analysis Based on Recursive Neural Networks

Abstract

The government has introduced a series of green financial support policies to support the low-carbon technological innovation of enterprises, and it has become an inevitable trend to take the road of high-quality development with clean, low-carbon efficiency and safety. In this paper, in order to further realize the quantitative analysis of green financial reform on the sustainable development of low-carbon enterprises, based on the principles of the evaluation index system construction on the sustainable development of low-carbon enterprises evaluation index system design, to determine the evaluation index level thesis domain, its data dimensionless processing, so that its evaluation indexes are composed of fuzzy relationship matrix. With the help of a recursive neural network, we analyze the low-carbon sustainable development of enterprises in the context of green financial reform. It is found that the squared error of the mean value of the enterprise low carbon sustainable development ability index based on a recursive neural network is 0.044. During the implementation of the green financial reform policy, the low carbon sustainable development ability of the sample enterprises has been improved, among which the growth trend of enterprise D (0.50415-0.44039=0.06376) is more rapid, which strongly confirms that the green financial reform and innovation promote the sustainable development of the low carbon enterprises. The promotion of green financial reform and innovation has been confirmed to have a strong effect on the sustainable development of low-carbon enterprises.

Keywords

• recurrent neural network
• fuzzy relationship matrix
• dimensionless processing
• green financial reforms
• 68p30