{"title":"The wave of government digitalization: How government digital procurement affects residents’ employment","authors":"Wei Jiang, Chunxing Gao","doi":"10.1016/j.infoecopol.2025.101145","DOIUrl":null,"url":null,"abstract":"<div><div>With the expansion of the scale of government digital procurement, its impact on economic life, especially on the labor market, has become increasingly evident. This paper employs Double Machine Learning (DML) estimation techniques to examine the impact of local government digital procurement on resident employment. The research findings indicate that local government digital procurement significantly reduces the unemployment rate among residents, and this conclusion holds after rigorous robustness checks. Further analysis reveals that these positive effects on employment are achieved through increased capital investment, enhanced job value, and improved productivity. Additionally, the impact of government digital procurement on employment is more pronounced in non-digital industries, and the beneficial effects on employment are more significant in regions with a larger proportion of the tertiary industry, higher levels of foreign investment, and more comprehensive social security systems.</div></div>","PeriodicalId":47029,"journal":{"name":"Information Economics and Policy","volume":"71 ","pages":"Article 101145"},"PeriodicalIF":3.2000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Economics and Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167624525000198","RegionNum":3,"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
With the expansion of the scale of government digital procurement, its impact on economic life, especially on the labor market, has become increasingly evident. This paper employs Double Machine Learning (DML) estimation techniques to examine the impact of local government digital procurement on resident employment. The research findings indicate that local government digital procurement significantly reduces the unemployment rate among residents, and this conclusion holds after rigorous robustness checks. Further analysis reveals that these positive effects on employment are achieved through increased capital investment, enhanced job value, and improved productivity. Additionally, the impact of government digital procurement on employment is more pronounced in non-digital industries, and the beneficial effects on employment are more significant in regions with a larger proportion of the tertiary industry, higher levels of foreign investment, and more comprehensive social security systems.
期刊介绍:
IEP is an international journal that aims to publish peer-reviewed policy-oriented research about the production, distribution and use of information, including these subjects: the economics of the telecommunications, mass media, and other information industries, the economics of innovation and intellectual property, the role of information in economic development, and the role of information and information technology in the functioning of markets. The purpose of the journal is to provide an interdisciplinary and international forum for theoretical and empirical research that addresses the needs of other researchers, government, and professionals who are involved in the policy-making process. IEP publishes research papers, short contributions, and surveys.