{"title":"The impact of artificial intelligence on the energy transition: evidence from Chinese cities","authors":"Juan Xu , Yu Chen , Nan Yang , Shuai Shao","doi":"10.1016/j.worlddev.2025.107126","DOIUrl":null,"url":null,"abstract":"<div><div>Climate change and energy issues have important implications for the future of the planet. The energy transition plays a vital role in addressing the global energy and climate crisis, while artificial intelligence (AI) is a core driver of this transition. On the basis of data from 262 Chinese cities between 2006 and 2019, a comprehensive city-level index for AI is constructed, and the impacts of AI on the energy transition and the corresponding mechanism are explored. The results suggest that AI significantly promotes the energy transition, and the promotion effect is greater in resource-based cities and central and eastern cities at the city level, as well as in strategic emerging industries and capital-intensive industries at the industry level. Regarding the influence mechanism, AI development can improve the energy transition by promoting green technology innovation and digital transformation. However, importantly, at higher levels of AI development, risks such as the energy rebound effect could arise. In this case, excessive investment and use of electricity may counteract the increase in the energy transition. Thus, while acknowledging AI’s pivotal role in the energy transition, it is equally critical to be aware of potential risks.</div></div>","PeriodicalId":48463,"journal":{"name":"World Development","volume":"195 ","pages":"Article 107126"},"PeriodicalIF":4.8000,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Development","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0305750X25002116","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Climate change and energy issues have important implications for the future of the planet. The energy transition plays a vital role in addressing the global energy and climate crisis, while artificial intelligence (AI) is a core driver of this transition. On the basis of data from 262 Chinese cities between 2006 and 2019, a comprehensive city-level index for AI is constructed, and the impacts of AI on the energy transition and the corresponding mechanism are explored. The results suggest that AI significantly promotes the energy transition, and the promotion effect is greater in resource-based cities and central and eastern cities at the city level, as well as in strategic emerging industries and capital-intensive industries at the industry level. Regarding the influence mechanism, AI development can improve the energy transition by promoting green technology innovation and digital transformation. However, importantly, at higher levels of AI development, risks such as the energy rebound effect could arise. In this case, excessive investment and use of electricity may counteract the increase in the energy transition. Thus, while acknowledging AI’s pivotal role in the energy transition, it is equally critical to be aware of potential risks.
期刊介绍:
World Development is a multi-disciplinary monthly journal of development studies. It seeks to explore ways of improving standards of living, and the human condition generally, by examining potential solutions to problems such as: poverty, unemployment, malnutrition, disease, lack of shelter, environmental degradation, inadequate scientific and technological resources, trade and payments imbalances, international debt, gender and ethnic discrimination, militarism and civil conflict, and lack of popular participation in economic and political life. Contributions offer constructive ideas and analysis, and highlight the lessons to be learned from the experiences of different nations, societies, and economies.