4.5 Article

Digitalization and environment governance: does internet development reduce environmental pollution?

期刊

出版社

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/09640568.2022.2033959

关键词

Internet development; environmental pollution; spatial Durbin model

向作者/读者索取更多资源

In the era of information economy, the integration of the internet and traditional industries is driving the world economy towards a more innovative, smarter, and greener direction. Research has shown that internet development can significantly reduce local environmental pollution and also environmental pollution in neighboring areas. Internet development primarily affects environmental pollution through improving technological innovation, industrial upgrading, human capital, and financial development.
In the era of information economy, the integration of the internet and traditional industries is pushing the rapid transformation of the world economy in a more innovative, smarter, and greener direction. Based on the panel data for 30 Chinese provinces for the 2006-2017 period, the level of China's internet development is comprehensively evaluated using the full array polygon graphic index method. The spatial Durbin model and threshold model are used to empirically analyze the impact of internet development on environmental quality. The results indicate that China's environmental pollution has a significant spatial spillover effect. Internet development can not only significantly reduce local environmental pollution, but also environmental pollution in neighboring areas. The regression results of the mediation effect indicate that internet development mainly affects environmental pollution by improving technological innovation, industrial upgrading, human capital and financial development. Finally, policy suggestions are proposed from the aspects of strengthening collaborative environmental governance and increasing internet infrastructure investment.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据