Enhancing the resilience of urban energy systems: The role of artificial intelligence

IF 14.2 2区经济学 Q1 ECONOMICS Energy Economics Pub Date : 2025-04-01 Epub Date: 2025-02-17 DOI:10.1016/j.eneco.2025.108313

Mingdong Jiang , Xinxin Yu

{"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":14.2000,"publicationDate":"2025-04-01","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":"2025/2/17 0:00:00","PubModel":"Epub","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.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

增强城市能源系统的弹性：人工智能的作用

全球气候变化极大地威胁着能源供需平衡，因此人们更加关注城市能源弹性。与此同时，人工智能（AI）的快速发展对能源生产和消费产生了不可避免的影响。本研究以中国新一代人工智能创新发展试验区为准自然实验，探讨人工智能对城市能源系统弹性的影响。研究结果表明，人工智能对城市RUES具有正向影响，且在较低的经济增长目标、较高的人才水平和更严格的碳排放约束下，这种影响可以增强。人工智能显著促进了新能源和智能电网产业生产端的技术创新，进一步提升了RUES。从消费端看，人工智能通过影响节能和高端装备制造业的技术创新来影响RUES，且对后者的影响更强。异质性检验显示，人工智能对中国中西部城市的影响更为明显。该研究丰富了人工智能的研究内容，为提高RUES提供了解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Energy Economics ECONOMICS-

CiteScore

18.60

自引率

12.50%

发文量

524

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.