Study on the Development Path of Green Finance to Support Low-carbon Economy Based on Neural Network Model

Promoting high-quality economic development and improving the ecological environment is China’s development goal. Continuously promoting green financial practices, guiding and leveraging financial resources to lean towards low-carbon industries, and promoting energy conservation and emission reduction are important guarantees for achieving the “dual carbon” goal. At present, the research on finance, economy and environment focuses more on the specific impact of finance on the ecological environment and the relationship between green finance and economic growth. The scope of research is basically limited to the real economy and the research topic is generally a one-way impact of a variable. There is a lack of research on green finance to support the dynamic development of low-carbon economy from an economic perspective. To this end, this paper adopts the method of literature and data analysis, calls the corresponding data from the database, preprocesses and cleans the data, and calculates the relevant index, including Growth Rate of Credit Balance, Green Financial Credit Balance Month on Month Growth based on SPSS, quantifies the content of the analysis in the form of data, and finally analyzes the green finance to support the status quo and solve existing problems of low-carbon economic development using Neural Network Model. Through analysis, this paper finds that there are such problems as incomplete green financial policies and regulations, perfect green financial products, perfect environmental information disclosure system, and uncleared role of government and market. Finally, this paper proposes strategies such as improving green finance laws and regulations, innovating products and services, correctly handling the relationship between the government and the market, and clarifying the division of labor among various entities, which is conducive to better realizing the contribution of green finance.