Heterogeneous impact of artificial intelligence on carbon emission intensity: Empirical test based on provincial panel data in China

Frontiers in Ecology and Evolution

Ecology and Evolution

Yifan Zhang¹  Meng Du²  Xiangjun Zhou³  Hai Dong⁴ 

[1] Department of Finance, Shandong Technology and Business University, Yantai, Shandong, China;Department of Finance, Shandong Technology and Business University, Yantai, Shandong, China;School of Land Science and Technology, China University of Geosciences (Beijing), Beijing, China;School of Business, Wenzhou University, Wenzhou, China;School of Investment and Construction Management, Dongbei University of Finance and Economics, Dalian, China;

关键词: AI;    carbon-emission;    spatial spillover effect;    spatial Durbin model;    energy conservation;   

DOI  :  10.3389/fevo.2023.1058505

 received in 2022-09-30, accepted in 2023-03-07,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionEnergy conservation and emission reduction, as a major policy of China for a long time, has been put on the key strategic position. Based on the panel data of 30 provinces, cities and districts in China from 2006 to 2019.MethodsThis paper uses fixed effect model and spatial Durbin model to explore the effect and mechanism of artificial intelligence (AI) on regional carbon emission intensity (CEI).ResultsThe results show that: (1) there is a significant inverted U-shaped between AI and CEI, that is, with the deepening of the development of AI, CEI first increases and then decreases. (2) There is a significant spatial correlation between the development of AI and CEI in China. (3) AI has a significant spatial spillover effect on CEI of adjacent regions, and it shows an inverted U-shaped track-from promoting to restraining.DiscussionThe conclusion provides policy implications for the formulation of AI development strategy and so on during the specific period.

【 授权许可】

Unknown   
Copyright © 2023 Du, Zhang, Dong and Zhou.