Research on the Sustainable Development Path of Green Finance Reform on Low-Carbon Transition of Enterprises Based on Multilayer Perceptual Machine Algorithm

Abstract

This paper conducts a general study on the role, mechanisms, and characteristics of green finance in corporate low-carbon transformation and development from both theoretical and empirical perspectives. First, the paper reviews the concept of green finance and, based on the institutional characteristics and practical logic of green finance in China, proposes the basic research direction that green finance reform can facilitate corporate low-carbon transformation. Using panel data from 30 provinces (regions and municipalities) in China from 2014 to 2023, the study employs a multi-layer perceptron algorithm to calculate the annual green finance development levels across regions. A difference-in-differences model is then applied to test the effects of green finance policies on corporate low-carbon development. The findings indicate that green finance policies facilitate corporate low-carbon transformation, a conclusion that remains valid after testing for parallel trends, heterogeneity analysis, and robustness checks.