基于面板数据固定效应模型的数字金融对绿色排放影响研究

Guiping Chen
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摘要

随着大数据、人工智能、云计算的快速发展,数字金融越来越受欢迎。本文基于固定效应模型,利用2011 - 2019年260个城市的面板数据,重点研究了数字金融发展与碳减排的关系。研究发现,数字金融的发展显著促进了碳减排,数字金融的覆盖面和深度对碳减排也有显著的促进作用。同时,本文发现数字金融的发展可以通过提高污染治理的效率来帮助减少碳排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the impact of digital finance on greener emissions based on the fixed effect model with panel data
With the rapid development of big data, artificial intelligence and cloud computing, digital finance is becoming more and more popular. Based on the fixed effect model and using the panel data of 260 cities from 2011 to 2019, this paper focuses on the relationship between the development of digital finance and carbon emission reduction. The study found that the development of digital finance has significantly promoted carbon emission reduction, and the coverage and depth of digital finance also have a significant role in promoting carbon emission reduction. At the same time, this paper finds that the development of digital finance can help reduce carbon emissions by improving the efficiency of pollution control.
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