{"title":"Digital transformation and corporate diversification: Evidence from China's A-share listed companies","authors":"Rongji Wang , Wei Wan , Dongbei Bai , Jue Wang","doi":"10.1016/j.econmod.2025.107142","DOIUrl":null,"url":null,"abstract":"<div><div>Digital transformation, defined as the application of digital technologies, is profoundly reshaping business operations. However, its impact on corporate diversification (i.e., a firm's expansion into new industries or product markets) remains underexplored. In this study, we develop a theoretical model and empirically test it using data from China's A-share listed companies. Our findings indicate that digital transformation significantly promotes corporate diversification by reducing transaction costs, alleviating financing constraints, and fostering digital technological innovation. This effect is especially pronounced in nonstate-owned enterprises, labor-intensive industries, competitive sectors, and firms located in regions with advanced digital infrastructure and higher levels of economic development. Additionally, digital transformation enhances firms' market power, improves operational performance, and increases production efficiency, further reinforcing its strategic value. These findings contribute to the literature by revealing the mechanisms through which digitalization influences corporate strategy and offer policy implications for local governments aiming to strengthen digital infrastructure and support business digitalization efforts.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"150 ","pages":"Article 107142"},"PeriodicalIF":4.2000,"publicationDate":"2025-05-13","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/S0264999325001373","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 transformation, defined as the application of digital technologies, is profoundly reshaping business operations. However, its impact on corporate diversification (i.e., a firm's expansion into new industries or product markets) remains underexplored. In this study, we develop a theoretical model and empirically test it using data from China's A-share listed companies. Our findings indicate that digital transformation significantly promotes corporate diversification by reducing transaction costs, alleviating financing constraints, and fostering digital technological innovation. This effect is especially pronounced in nonstate-owned enterprises, labor-intensive industries, competitive sectors, and firms located in regions with advanced digital infrastructure and higher levels of economic development. Additionally, digital transformation enhances firms' market power, improves operational performance, and increases production efficiency, further reinforcing its strategic value. These findings contribute to the literature by revealing the mechanisms through which digitalization influences corporate strategy and offer policy implications for local governments aiming to strengthen digital infrastructure and support business digitalization efforts.
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.