{"title":"Enhancing the resilience of urban energy systems: The role of artificial intelligence","authors":"Mingdong Jiang , Xinxin Yu","doi":"10.1016/j.eneco.2025.108313","DOIUrl":null,"url":null,"abstract":"<div><div>Global climate change threaten the balance between energy supply and demand considerably, resulting in increased focus on urban energy resilience. Meanwhile, the rapid development of artificial intelligence (AI) has had an inevitable impact on energy production and consumption. This study takes China's New Generation AI Innovative Development Pilot Zones as a quasi-natural experiment to explore the impact of AI on the resilience of urban energy systems (RUES). The results demonstrate that AI has a positive effect on RUES, which can be enhanced under lower economic growth targets, higher talent levels and tighter carbon emission constraints. AI significantly promotes the technological innovation in new energy and intelligent grid industries on the production side, which further enhance RUES. From the consumption side, AI affects RUES by influencing technological innovation in energy-efficient and high-end equipment manufacturing industries, and the effect on the latter is stronger. Heterogeneity tests reveal that the effects of AI are more pronounced for cities in China's central and western regions. The study enriches the research on AI and offers solutions for enhancing RUES.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108313"},"PeriodicalIF":13.6000,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325001367","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Global climate change threaten the balance between energy supply and demand considerably, resulting in increased focus on urban energy resilience. Meanwhile, the rapid development of artificial intelligence (AI) has had an inevitable impact on energy production and consumption. This study takes China's New Generation AI Innovative Development Pilot Zones as a quasi-natural experiment to explore the impact of AI on the resilience of urban energy systems (RUES). The results demonstrate that AI has a positive effect on RUES, which can be enhanced under lower economic growth targets, higher talent levels and tighter carbon emission constraints. AI significantly promotes the technological innovation in new energy and intelligent grid industries on the production side, which further enhance RUES. From the consumption side, AI affects RUES by influencing technological innovation in energy-efficient and high-end equipment manufacturing industries, and the effect on the latter is stronger. Heterogeneity tests reveal that the effects of AI are more pronounced for cities in China's central and western regions. The study enriches the research on AI and offers solutions for enhancing RUES.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.