4.5 Article

The nexus between information technology and environmental pollution: Application of a new machine learning algorithm to OECD countries

期刊

UTILITIES POLICY
卷 72, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jup.2021.101256

关键词

Internet usage; Electricity consumption; Urbanization; OECD; Panel data; Machine learning; CO2 emissions

向作者/读者索取更多资源

The study finds that the use of Information and Communication Technologies (ICT) can promote economic growth, but it also leads to an increase in electricity consumption and ultimately pollution emissions. Internet usage is identified as a significant factor in promoting CO2 emissions. Therefore, appropriate policies need to be developed to address these issues.
This paper examines the linkages among Information and Communication Technologies (ICT) penetration, electricity consumption, economic growth, urbanization, and environmental pollution for 25 OECD countries over the 1990-2017 period. We first conduct several panel data analyses and then write and apply a new Machine Learning (ML) algorithm. Empirical findings show that ICT usage enhances economic growth, and it is also a crucial driver of electricity consumption, which, in turn, translates into polluting emissions. The ML results highlight internet usage emerges as a substantial CO2 emissions-enabler, thus corroborating our panel data findings. Potential policy measures are discussed.

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