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绿色金融对绿色全要素生产率的影响:改进的合成控制法的新证据

Impact of green finance on green total factor productivity: New evidence from improved synthetic control methods.

作者信息

Meng Yanhua, Yu Jian, Yu Yantuan, Ren Yayun

机构信息

Office of Research, Guizhou University of Finance and Economics, Guiyang, 550025, China.

Institute of Blue and Green Development, Shandong University, Weihai, 264209, China.

出版信息

J Environ Manage. 2024 Dec;372:123394. doi: 10.1016/j.jenvman.2024.123394. Epub 2024 Nov 20.

Abstract

Although green finance policy is essential for sustainable development, its impact on green development is often underestimated. Using city-level data in China from 2009 to 2022, this study identifies the causal effect of green finance policy on green total factor productivity (GTFP) through an improved synthetic control method. The findings are as follows: First, green finance positively influences GTFP growth, and this effect increases over time. Second, the baseline results remain robust when tested using alternative estimation methods and information criteria. Third, the mechanism analysis shows that green finance policy enhances GTFP through the optimization of energy structure and technological innovation. This study provides new evidence that green finance promotes green development and contributes to addressing global climate change.

摘要

尽管绿色金融政策对可持续发展至关重要,但其对绿色发展的影响往往被低估。本研究利用2009年至2022年中国城市层面的数据,通过改进的合成控制法识别绿色金融政策对绿色全要素生产率(GTFP)的因果效应。研究结果如下:第一,绿色金融对GTFP增长有积极影响,且这种影响随时间推移而增强。第二,使用替代估计方法和信息准则进行检验时,基线结果依然稳健。第三,机制分析表明,绿色金融政策通过优化能源结构和技术创新提高了GTFP。本研究提供了新的证据,证明绿色金融促进绿色发展并有助于应对全球气候变化。

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