{"title":"How does digital technology adoption affect corporate employment? Evidence from China","authors":"Yuwen Zhou , Xin Shi","doi":"10.1016/j.econmod.2025.107045","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid adoption of digital technologies has sparked debates about their employment effects, yet evidence from developing economies remains limited. Previous studies highlight labor market polarization, where automation disproportionately displaces low-skilled workers while benefiting high-skilled ones. Using text analysis of corporate disclosures, we measure digital adoption across Chinese firms (2010–2019) and estimate its employment impacts. A one standard deviation increase in digital adoption raises corporate employment by 5.47%, driven by shifts toward non-routine cognitive roles and higher-educated employees. Digital adoption also increases average wages but leaves labor share unchanged. Three mechanisms explain these effects: total factor productivity (TFP) gains, market share expansion, and capital deepening, with TFP contributing most strongly. These results reveal how digital technologies reshape employment structures, emphasizing the need for firms to balance technological investments with organizational adaptation to mitigate skill mismatches.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"147 ","pages":"Article 107045"},"PeriodicalIF":4.2000,"publicationDate":"2025-02-26","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/S0264999325000409","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
The rapid adoption of digital technologies has sparked debates about their employment effects, yet evidence from developing economies remains limited. Previous studies highlight labor market polarization, where automation disproportionately displaces low-skilled workers while benefiting high-skilled ones. Using text analysis of corporate disclosures, we measure digital adoption across Chinese firms (2010–2019) and estimate its employment impacts. A one standard deviation increase in digital adoption raises corporate employment by 5.47%, driven by shifts toward non-routine cognitive roles and higher-educated employees. Digital adoption also increases average wages but leaves labor share unchanged. Three mechanisms explain these effects: total factor productivity (TFP) gains, market share expansion, and capital deepening, with TFP contributing most strongly. These results reveal how digital technologies reshape employment structures, emphasizing the need for firms to balance technological investments with organizational adaptation to mitigate skill mismatches.
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.