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

机构：[1] School of Economics, Central University of Finance and Economics, Beijing, 102206, China; [2] Business College, Beijing Union University, Beijing, 100101, China

第一机构：School of Economics, Central University of Finance and Economics, Beijing, 102206, China

通讯机构：[2]Business College, Beijing Union University, Beijing, 100101, 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)

语种：英文

外文关键词：Artificial intelligence; Energy efficiency; Energy transition; Exposure to industrial robots; 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. ? 2025 Elsevier B.V.