AUTHOR=Du Meng , Zhang Yifan , Dong Hai , Zhou Xiangjun 

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

JOURNAL=Frontiers in Ecology and Evolution

VOLUME=11

YEAR=2023

URL=https://www.frontiersin.org/journals/ecology-and-evolution/articles/10.3389/fevo.2023.1058505

DOI=10.3389/fevo.2023.1058505

ISSN=2296-701X

ABSTRACT=<sec><title>Introduction</title><p>Energy 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.</p></sec><sec><title>Methods</title><p>This 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).</p></sec><sec><title>Results</title><p>The 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.</p></sec><sec><title>Discussion</title><p>The conclusion provides policy implications for the formulation of AI development strategy and so on during the specific period.</p></sec>