绿色金融,低碳能源转型和环境污染:来自中国的证据
Shanshan Chen1, Yongliang Bai2
1School of Economics and Management, China University of Geosciences (Wuhan), Wuhan, 430078, China. 1299283676@qq.com.
概括
绿色金融对中国各地的环境污染产生了重大影响,其空间溢出效应高达500公里. 它的影响因地区而异,并受到低碳能源转型和技术进步等因素的调节.
科学领域:
- 环境经济学环境经济学
- 空间计量经济学空间计量
- 区域科学 地区科学
背景情况:
- 绿色金融越来越被认为是减轻环境污染的工具.
- 了解绿色金融的空间动态和值效应对于有效的环境政策至关重要.
- 中国的省级数据为分析这些复杂的关系提供了一个独特的背景.
研究的目的:
- 实证地研究绿色金融对中国环境污染的空间溢出效应.
- 检查绿色金融对污染的值影响,考虑各种缓和变量.
- 分析这些影响的区域差异,并提供有针对性的政策建议.
主要方法:
- 计算绿色金融和污染指数的透权重方法.
- 空间德宾模型用于评估空间溢出效应.
- 值回归模型用于识别值影响.
主要成果:
- 绿色金融证明了对污染的显著空间溢出效应,其近似边界为500公里.
- 对低碳能源转型 (单一门),技术进步 (单一门) 和绿色金融本身 (双重门) 确定了门效应.
- 区域存在差异:间接影响在东部是负面的,在中部和西部是积极的. 具体的值效应也因地区而异.
结论:
- 绿色金融对环境污染具有空间依赖的影响.
- 绿色融资的有效性取决于区域特点和与能源转型和技术进步有关的门的存在.
- 需要定制的区域政策来优化绿色金融的环境效益.
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