{"title":"Assessing the impact of data factor development on low-carbon energy transition: Insights from Chinese cities","authors":"Xiaobo Shen , Boqiang Lin , Zhicheng Wang","doi":"10.1016/j.eiar.2025.107941","DOIUrl":null,"url":null,"abstract":"<div><div>Since data is increasingly recognized as a vital component in production, studying its role in low-carbon energy transition (LCET) is crucial for promoting sustainable urban development. This research focuses on Chinese cities and utilizes a Difference-in-Differences (DID) approach to empirically investigate the effects of data factor development (DFD) on LCET. The results indicate that DFD facilitates urban LCET, with green innovation and high-tech industry agglomeration as essential channels. Heterogeneity analysis reveals that non-central cities, old industrial bases, new energy demonstration cities, and cities with high digital industry activity show more substantial impacts from DFD on LCET. Further analysis reveals that the progress of green financing and the heightened government attention to the low-carbon environment substitute the beneficial effects of DFD on LCET. These findings provide policy insights for urban management authorities to steer economic digital transformation and advance the clean development of energy systems.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107941"},"PeriodicalIF":11.2000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Impact Assessment Review","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0195925525001386","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Since data is increasingly recognized as a vital component in production, studying its role in low-carbon energy transition (LCET) is crucial for promoting sustainable urban development. This research focuses on Chinese cities and utilizes a Difference-in-Differences (DID) approach to empirically investigate the effects of data factor development (DFD) on LCET. The results indicate that DFD facilitates urban LCET, with green innovation and high-tech industry agglomeration as essential channels. Heterogeneity analysis reveals that non-central cities, old industrial bases, new energy demonstration cities, and cities with high digital industry activity show more substantial impacts from DFD on LCET. Further analysis reveals that the progress of green financing and the heightened government attention to the low-carbon environment substitute the beneficial effects of DFD on LCET. These findings provide policy insights for urban management authorities to steer economic digital transformation and advance the clean development of energy systems.
期刊介绍：
Environmental Impact Assessment Review is an interdisciplinary journal that serves a global audience of practitioners, policymakers, and academics involved in assessing the environmental impact of policies, projects, processes, and products. The journal focuses on innovative theory and practice in environmental impact assessment (EIA). Papers are expected to present innovative ideas, be topical, and coherent. The journal emphasizes concepts, methods, techniques, approaches, and systems related to EIA theory and practice.
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