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The effect of artificial intelligence on energy transition: Evidence from China  ( EI收录)  

文献类型:期刊文献

英文题名:The effect of artificial intelligence on energy transition: Evidence from China

作者:Gao, Xiangming[1];Ji, Xinliang[1];Wang, Rong[2];Yu, Jian[1]

第一作者:Gao, Xiangming

通讯作者:Yu, J[1];Wang, R[2]

机构:[1]Cent Univ Finance & Econ, Sch Econ, Beijing 102206, Peoples R China;[2]Beijing Union Univ, Business Coll, Beijing 100101, Peoples R China

第一机构:Cent Univ Finance & Econ, Sch Econ, Beijing 102206, Peoples R China

通讯机构:[1]corresponding author), Cent Univ Finance & Econ, Sch Econ, Beijing 102206, Peoples R China;[2]corresponding author), Beijing Union Univ, Business Coll, Beijing 100101, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

年份:2025

卷号:147

外文期刊名:ENERGY ECONOMICS

收录:;EI(收录号:20251918401239);Scopus(收录号:2-s2.0-105004665764);WOS:【SSCI(收录号:WOS:001493199400001)】;

基金:Funding This work was supported by the National Natural Science Foundation of China (72373172) , and the Program for Innovation Research in Central University of Finance and Economics.

语种:英文

外文关键词:Artificial intelligence; Energy transition; Exposure to industrial robots; Energy efficiency; R&D innovation

摘要:Artificial intelligence (AI) is an important next-generation information technology and a key driver of energy transition. Using panel data from 282 cities from 2006 to 2019, in this study, we examine the influence of AI on energy transition in China. We measure AI using exposure to industrial robots and find that AI can significantly accelerate the energy transition process. Improvements in energy efficiency and research and development innovation are the two mechanisms through which AI promotes energy transition. The results of heterogeneity analysis indicate that AI's impact on energy transition is more pronounced in cities with a high transition potential, specifically those with a low level of electrification, weak environmental regulations, greater fiscal constraints, and those located in the central and western regions of China. These findings provide valuable insights for the application of AI in the field of energy transition and policy guidance for China and other developing countries.

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