{"title":"Data factor agglomeration and urban green finance: A quasi-natural experiment based on the National Big Data Comprehensive Pilot Zone","authors":"Huizong Wang , Yulong Hao , Qiang Fu","doi":"10.1016/j.irfa.2024.103732","DOIUrl":null,"url":null,"abstract":"<div><div>Using panel data from 246 cities in China from 2008 to 2021, we investigate the impact of data factor agglomeration on the development of urban green finance through a quasi-natural experiment based on the National Big Data Comprehensive Pilot Zone. Findings reveal that the effect of data agglomeration, characterized by the construction of big data comprehensive pilot zone, has significantly improved urban green finance development in the pilot zones. Further research shows that data factor agglomeration can expand the development scale of urban green finance by promoting industrial structure upgrading and improve the development efficiency of urban green finance by driving innovation in digital technology, both of which can promote urban green finance development. Furthermore, the impact of data factor agglomeration on urban green finance development is influenced by geographic location and urban administrative level, with greater significance for cities in the eastern region and those with high administrative levels. Meanwhile, the human capital level and environmental regulation strength positively moderate the efficacy of the data factors' agglomeration. Our study explores the effective and realistic approaches to promote the development of urban green finance from the perspective of data factor agglomeration, providing a reference for countries to accelerate the construction of good data factor ecosystems and promote green finance reform in depth.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"96 ","pages":"Article 103732"},"PeriodicalIF":7.5000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521924006641","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
Using panel data from 246 cities in China from 2008 to 2021, we investigate the impact of data factor agglomeration on the development of urban green finance through a quasi-natural experiment based on the National Big Data Comprehensive Pilot Zone. Findings reveal that the effect of data agglomeration, characterized by the construction of big data comprehensive pilot zone, has significantly improved urban green finance development in the pilot zones. Further research shows that data factor agglomeration can expand the development scale of urban green finance by promoting industrial structure upgrading and improve the development efficiency of urban green finance by driving innovation in digital technology, both of which can promote urban green finance development. Furthermore, the impact of data factor agglomeration on urban green finance development is influenced by geographic location and urban administrative level, with greater significance for cities in the eastern region and those with high administrative levels. Meanwhile, the human capital level and environmental regulation strength positively moderate the efficacy of the data factors' agglomeration. Our study explores the effective and realistic approaches to promote the development of urban green finance from the perspective of data factor agglomeration, providing a reference for countries to accelerate the construction of good data factor ecosystems and promote green finance reform in depth.
期刊介绍:
The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.