Research Article
Research on Carbon Emission Benchmark Regression Analysis Based on Spatial Durbin Model
@INPROCEEDINGS{10.4108/eai.24-5-2024.2350083, author={Boya Zhang and Yifan He and Jingjing Li and Jin Liu and YuJia Wei}, title={Research on Carbon Emission Benchmark Regression Analysis Based on Spatial Durbin Model}, proceedings={Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24--26, 2024, Jinan, China}, publisher={EAI}, proceedings_a={MSEA}, year={2024}, month={10}, keywords={spatial durbin modelling carbon emissions regression analysis weights-topsis}, doi={10.4108/eai.24-5-2024.2350083} }- Boya Zhang
Yifan He
Jingjing Li
Jin Liu
YuJia Wei
Year: 2024
Research on Carbon Emission Benchmark Regression Analysis Based on Spatial Durbin Model
MSEA
EAI
DOI: 10.4108/eai.24-5-2024.2350083
Abstract
The study presents a comprehensive analysis of the impact of green finance on carbon emissions in China, utilizing the Spatial Durbin Model (SDM) to account for spatial autocorrelation and spillover effects. By constructing a spatial panel data set that includes variables such as green credit, investment, and insurance, alongside provincial carbon emissions data, the research reveals that green finance significantly reduces carbon emissions both directly within provinces and indirectly through neighboring effects. The findings suggest that enhancing green finance initiatives can play a crucial role in China's carbon mitigation strategies. This work not only contributes to the understanding of green finance's role in environmental sustainability but also provides empirical evidence supporting policy formulations aimed at reducing carbon emissions.