{"title":"Does digital finance spatial correlation drive income convergence?","authors":"Xia Fang , Yun Zhang , Shuqing Lv , Longxin Tan","doi":"10.1016/j.econmod.2025.107308","DOIUrl":null,"url":null,"abstract":"<div><div>Digital finance significantly boosts household incomes and reduces regional disparities. Although digital finance can narrow income inequality, the spatial impact of digital finance on income convergence remains inadequately examined. This study evaluates whether and how the spatial correlation with central digital finance regions promotes income convergence, by employing a modified gravity model and data from Zhejiang Province in China. The empirical evidence shows that digital finance spatial correlation can contribute to income growth. Notably, low-income regions derive a stronger growth impetus by enhancing spatial correlation with central digital finance regions, narrowing the income inequality with high-income regions. Specifically, capital flow, technological innovation, and business creation are three effective mechanisms. Heterogeneity analysis demonstrates that the convergence effect is particularly significant for regions with mountains and without high-speed rail (HSR) stations, underscoring the spatial penetration capabilities of digital finance. Governments should encourage more cross-regional digital finance cooperation to achieve balanced regional development.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"153 ","pages":"Article 107308"},"PeriodicalIF":4.7000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999325003037","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
Digital finance significantly boosts household incomes and reduces regional disparities. Although digital finance can narrow income inequality, the spatial impact of digital finance on income convergence remains inadequately examined. This study evaluates whether and how the spatial correlation with central digital finance regions promotes income convergence, by employing a modified gravity model and data from Zhejiang Province in China. The empirical evidence shows that digital finance spatial correlation can contribute to income growth. Notably, low-income regions derive a stronger growth impetus by enhancing spatial correlation with central digital finance regions, narrowing the income inequality with high-income regions. Specifically, capital flow, technological innovation, and business creation are three effective mechanisms. Heterogeneity analysis demonstrates that the convergence effect is particularly significant for regions with mountains and without high-speed rail (HSR) stations, underscoring the spatial penetration capabilities of digital finance. Governments should encourage more cross-regional digital finance cooperation to achieve balanced regional development.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.