 Is artificial intelligence associated with carbon emissions reduction? Case of ChinaTao Ding, Jiangyuan Li, Xing Shi, Xuhui Li and Ya Chen Resources Policy, 2023, vol. 85, issue PB Abstract: With the rapid development of modern information technology, the widespread application of artificial intelligence (AI) technology has had an increasingly critical impact on China's industrial development in recent years. However, few research focuses on the impact of AI development on China's carbon emissions (CEs). Using a data set of 30 Chinese provinces during the period 2006–2019, this study investigates the impact of AI development on CEs and explore potential influencing mechanisms via spatial Durbin model (SDM). It shows that AI development effectively contributes to CEs reduction and the reduction effect remains consistent over varied spatial weights. In terms of the mechanism analysis, technique and structure effects of AI reduce CEs. The heterogeneity analysis reveals that AI reduces CEs through spatial spillover effect with the effect being stronger in central and western China. Finally, based on the findings of this study, some recommendations are provided to promote the development of AI in China and the reduction of CEs. Keywords: Artificial intelligence; Carbon emissions; Spatial Durbin model; Spatial spillover effect; China (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:85:y:2023:i:pb:s0301420723006037 DOI: 10.1016/j.resourpol.2023.103892 Access Statistics for this article Resources Policy is currently edited by R. G. Eggert More articles in Resources Policy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.