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基于中国省级面板数据的绿色信贷政策对碳排放的影响

The effect of green credit policy on carbon emissions based on China's provincial panel data.

作者信息

Yang Xuerui, Zhu Lianmei, Wei Tong

机构信息

School of Management, China University of Mining and Technology-Beijing, Beijing, 100083, China.

West Institute for Economic Research, Southwestern University of Finance and Economics, Chengdu, 611130, China.

出版信息

Sci Rep. 2024 Oct 15;14(1):24142. doi: 10.1038/s41598-024-73942-3.

DOI:10.1038/s41598-024-73942-3
PMID:39406852
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11480335/
Abstract

The attainment of "carbon peaking" and "carbon neutrality" is of utmost significance for the optimal progress of China's economy. As the main channel for green finance, the carbon reduction effectiveness of green credit policy is worth discussing. This article constructs an analytical framework for green credit, carbon emissions and technological advancement. Based on panel data from 30 provincial administrative regions in China from 2012 to 2021, this article uses the mediation effect model and the Spatial Durbin Model to investigate the transmission mechanism and spatial spillover effect of green credit policies on carbon emissions. According to baseline regression model results, our study revealed that overall, carbon emissions were reduced by green credit. The spatial spillover effect of green credit on carbon emissions points to the interconnectedness of different regions in terms of environmental impact. The significant negative indirect effect indicates that the increase of local green credit also has a significant inhibitory effect on surrounding carbon dioxide emissions. It suggests that efforts to reduce carbon emissions in one area can have positive consequences for neighboring regions as well. Green credit is able to reduce carbon emissions indirectly via technological advancement, according to the mechanism testing mediation effect model. This paper presents policy recommendations for relevant departments.

摘要

实现“碳达峰”和“碳中和”对中国经济的优化发展至关重要。作为绿色金融的主要渠道,绿色信贷政策的碳减排成效值得探讨。本文构建了一个绿色信贷、碳排放与技术进步的分析框架。基于2012年至2021年中国30个省级行政区的面板数据,本文运用中介效应模型和空间杜宾模型来研究绿色信贷政策对碳排放的传导机制和空间溢出效应。根据基准回归模型结果,我们的研究表明,总体而言,绿色信贷减少了碳排放。绿色信贷对碳排放的空间溢出效应表明不同地区在环境影响方面存在相互联系。显著的负向间接效应表明,当地绿色信贷的增加对周边地区的二氧化碳排放也有显著的抑制作用。这表明一个地区减少碳排放的努力也会对周边地区产生积极影响。根据机制检验中介效应模型,绿色信贷能够通过技术进步间接减少碳排放。本文为相关部门提出了政策建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1295/11480335/82f9d3965155/41598_2024_73942_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1295/11480335/bdabdb8e8fb4/41598_2024_73942_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1295/11480335/5e697099186d/41598_2024_73942_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1295/11480335/82f9d3965155/41598_2024_73942_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1295/11480335/bdabdb8e8fb4/41598_2024_73942_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1295/11480335/5e697099186d/41598_2024_73942_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1295/11480335/82f9d3965155/41598_2024_73942_Fig3_HTML.jpg

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