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探究绿色金融和数字经济对中国绿色全要素生产率影响的作用机制。

Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China's Green Total Factor Productivity.

机构信息

Henley Business School, University of Reading, Berkshire RG9 3AU, UK.

Economics and Management School, Xi'an University of Posts and Telecommunications, Xi'an 710061, China.

出版信息

Int J Environ Res Public Health. 2022 Dec 5;19(23):16303. doi: 10.3390/ijerph192316303.

Abstract

In the context of the "double cycle," promoting the development of a green economy is an important goal for China's high-quality economic development in the digital age. This paper uses data from 30 provinces (municipalities and autonomous regions) in China during the 2006-2019 period using the Compiled Green Finance Index (GF) and Digital Economy Index (DE). The interrelationship between green finance, digital economy and green total factor productivity (GTFP) is empirically tested by conducting multiple regressions on panel data from 2006-2019 to perform an empirical analysis. Based on this, further analysis was performed with the threshold model. This study found that green finance and digital economy can contribute well to green total factor productivity, but the combination of the two does not have a good effect on green total factor productivity. Further study found that the green finance and digital economy's contribution to green total factor productivity is mainly derived from technological progress. The regression results based on the panel threshold model show that the more underdeveloped the digital economy is in certain regions, the stronger the role of green finance in promoting efficiency improvement. Therefore, policymakers should formulate differentiated green financial policies according to the level of development of the digital economy and give play to the role of green finance and the digital economy in promoting green total factor productivity.

摘要

在“双循环”背景下,推动绿色经济发展是中国数字时代高质量经济发展的重要目标。本文利用中国 2006-2019 年 30 个省(市、自治区)的数据,采用编制的绿色金融指数(GF)和数字经济指数(DE),通过对 2006-2019 年的面板数据进行多元回归实证分析,实证检验了绿色金融、数字经济与绿色全要素生产率(GTFP)之间的相互关系。在此基础上,利用门槛模型进行了进一步分析。研究发现,绿色金融和数字经济对绿色全要素生产率有较好的促进作用,但二者结合对绿色全要素生产率没有较好的促进作用。进一步研究发现,绿色金融和数字经济对绿色全要素生产率的贡献主要来自技术进步。基于面板门槛模型的回归结果表明,在某些地区数字经济发展水平越低,绿色金融在促进效率提高方面的作用越强。因此,政策制定者应根据数字经济发展水平制定差异化的绿色金融政策,发挥绿色金融和数字经济在促进绿色全要素生产率方面的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e788/9739410/5d89666575c7/ijerph-19-16303-g001.jpg

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