{"title":"数字化转型对劳动力需求数量和结构的影响:来自中国的证据","authors":"Shuyuan Qin , Ziqi Liu , Jie Wang , Yongqiu Wu","doi":"10.1016/j.eap.2024.10.036","DOIUrl":null,"url":null,"abstract":"<div><div>While the impact of digital transformation on firms’ labour demand has attracted considerable attention, no studies have examined how different types of digital transformation impact different workforce labour demand. Using data from Chinese A-share listed manufacturing companies from 2013 to 2022, this study employs a two-way fixed effects model, the instrumental variable method and multi-temporal difference-in-differences analysis. The findings reveal that digital convergence technologies significantly increase manufacturing firms’ labour demand, whereas e-commerce technologies have no significant effect on employment. Furthermore, digitalisation has a negative effect on the demand for operational employees and a positive effect on the demand for skilled and service employees. The mechanism test reveals that digital transformation primarily substitutes labour through productivity effects and generates labour demand via financing constraints and business scope effects, ultimately increasing manufacturing firms’ labour demand. These results further enhance the understanding of how digital technology development impacts labour demand.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"84 ","pages":"Pages 1452-1469"},"PeriodicalIF":7.9000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of digital transformation on labour demand quantity and structure: Evidence from China\",\"authors\":\"Shuyuan Qin , Ziqi Liu , Jie Wang , Yongqiu Wu\",\"doi\":\"10.1016/j.eap.2024.10.036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>While the impact of digital transformation on firms’ labour demand has attracted considerable attention, no studies have examined how different types of digital transformation impact different workforce labour demand. Using data from Chinese A-share listed manufacturing companies from 2013 to 2022, this study employs a two-way fixed effects model, the instrumental variable method and multi-temporal difference-in-differences analysis. The findings reveal that digital convergence technologies significantly increase manufacturing firms’ labour demand, whereas e-commerce technologies have no significant effect on employment. Furthermore, digitalisation has a negative effect on the demand for operational employees and a positive effect on the demand for skilled and service employees. The mechanism test reveals that digital transformation primarily substitutes labour through productivity effects and generates labour demand via financing constraints and business scope effects, ultimately increasing manufacturing firms’ labour demand. These results further enhance the understanding of how digital technology development impacts labour demand.</div></div>\",\"PeriodicalId\":54200,\"journal\":{\"name\":\"Economic Analysis and Policy\",\"volume\":\"84 \",\"pages\":\"Pages 1452-1469\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2024-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Analysis and Policy\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0313592624002911\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Analysis and Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0313592624002911","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
摘要
尽管数字化转型对企业劳动力需求的影响已引起广泛关注,但还没有研究探讨不同类型的数字化转型如何影响不同劳动力的需求。本研究利用 2013 年至 2022 年中国 A 股制造业上市公司的数据,采用双向固定效应模型、工具变量法和多时差分析。研究结果表明,数字化融合技术显著增加了制造业企业的劳动力需求,而电子商务技术对就业没有显著影响。此外,数字化对操作型员工的需求有负面影响,而对技能型和服务型员工的需求有正面影响。机制检验显示,数字化转型主要通过生产率效应替代劳动力,并通过融资约束和业务范围效应产生劳动力需求,最终增加制造业企业的劳动力需求。这些结果进一步加深了人们对数字技术发展如何影响劳动力需求的理解。
The impact of digital transformation on labour demand quantity and structure: Evidence from China
While the impact of digital transformation on firms’ labour demand has attracted considerable attention, no studies have examined how different types of digital transformation impact different workforce labour demand. Using data from Chinese A-share listed manufacturing companies from 2013 to 2022, this study employs a two-way fixed effects model, the instrumental variable method and multi-temporal difference-in-differences analysis. The findings reveal that digital convergence technologies significantly increase manufacturing firms’ labour demand, whereas e-commerce technologies have no significant effect on employment. Furthermore, digitalisation has a negative effect on the demand for operational employees and a positive effect on the demand for skilled and service employees. The mechanism test reveals that digital transformation primarily substitutes labour through productivity effects and generates labour demand via financing constraints and business scope effects, ultimately increasing manufacturing firms’ labour demand. These results further enhance the understanding of how digital technology development impacts labour demand.
期刊介绍:
Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.