详细信息
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:
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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