Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model.

In the context of the current global economic transformation, the integration of low-carbon economy and green finance has become a core issue in promoting sustainable development. This study focuses on the development of low-carbon finance in high pollution areas and explores its promoting effect on green finance. This study aims to analyze the impact of low-carbon orientation on green finance, clarify the intrinsic relationship between the two, and provide strategic recommendations for the development of low-carbon emission reduction finance in high pollution areas. To achieve the research objectives, this study used a random effects regression model and a spatial panel data model to conduct in-depth analysis of the carbon emission index in high pollution areas. The research results show that the Geary carbon emission C index in high pollution areas is significantly less than 0, indicating a negative correlation between carbon emissions and spatial distribution. The parameter values for financial scale and efficiency are 0.2031, 0.1125 and - 0.0089, 0.5365, respectively, while the parameter values for green finance are - 0.4154 and 0.0176. These data indicate that low-carbon policies have a significant promoting effect on green finance. The findings of this study have important practical significance for the development of green finance in high pollution areas. Given that green finance in the region is still in its infancy, research suggests further implementation of low-carbon emission reduction policies to promote the healthy growth of green finance and achieve dual benefits of economy and environment.