{"title":"数字化转型与企业劳动力投资效率","authors":"Sai Wang , Wen Wen , Yuhao Niu , Xin Li","doi":"10.1016/j.ememar.2024.101109","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigates whether and how digital transformation affects corporate labor investment efficiency. Based on a sample of Chinese listed firms from 2008 to 2020, this paper finds that digital transformation increases corporate labor investment efficiency. Our results still hold after using a series of robustness checks. Mechanism tests show that reducing agency problems and mitigating financing restrictions are potential channels through which digital transformation improves corporate labor investment efficiency. Further analyses reveal that digital transformation reduces both overinvestment and underinvestment in labor. Distinguishing different digital technologies, we find that artificial intelligence, big data, cloud computing technology, as well as digital technology applications improve corporate labor investment efficiency, while the impact of blockchain technology is insignificant. In addition, digital transformation's positive effect on corporate labor investment efficiency is more pronounced for firms in non-labor-intensive industries, private firms, and those with more highly skilled labor. Overall, this study deepens our understanding of digital transformation's governance role in improving corporate labor investment efficiency.</p></div>","PeriodicalId":47886,"journal":{"name":"Emerging Markets Review","volume":"59 ","pages":"Article 101109"},"PeriodicalIF":5.6000,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital transformation and corporate labor investment efficiency\",\"authors\":\"Sai Wang , Wen Wen , Yuhao Niu , Xin Li\",\"doi\":\"10.1016/j.ememar.2024.101109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study investigates whether and how digital transformation affects corporate labor investment efficiency. Based on a sample of Chinese listed firms from 2008 to 2020, this paper finds that digital transformation increases corporate labor investment efficiency. Our results still hold after using a series of robustness checks. Mechanism tests show that reducing agency problems and mitigating financing restrictions are potential channels through which digital transformation improves corporate labor investment efficiency. Further analyses reveal that digital transformation reduces both overinvestment and underinvestment in labor. Distinguishing different digital technologies, we find that artificial intelligence, big data, cloud computing technology, as well as digital technology applications improve corporate labor investment efficiency, while the impact of blockchain technology is insignificant. In addition, digital transformation's positive effect on corporate labor investment efficiency is more pronounced for firms in non-labor-intensive industries, private firms, and those with more highly skilled labor. Overall, this study deepens our understanding of digital transformation's governance role in improving corporate labor investment efficiency.</p></div>\",\"PeriodicalId\":47886,\"journal\":{\"name\":\"Emerging Markets Review\",\"volume\":\"59 \",\"pages\":\"Article 101109\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2024-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Emerging Markets Review\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1566014124000049\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Emerging Markets Review","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1566014124000049","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Digital transformation and corporate labor investment efficiency
This study investigates whether and how digital transformation affects corporate labor investment efficiency. Based on a sample of Chinese listed firms from 2008 to 2020, this paper finds that digital transformation increases corporate labor investment efficiency. Our results still hold after using a series of robustness checks. Mechanism tests show that reducing agency problems and mitigating financing restrictions are potential channels through which digital transformation improves corporate labor investment efficiency. Further analyses reveal that digital transformation reduces both overinvestment and underinvestment in labor. Distinguishing different digital technologies, we find that artificial intelligence, big data, cloud computing technology, as well as digital technology applications improve corporate labor investment efficiency, while the impact of blockchain technology is insignificant. In addition, digital transformation's positive effect on corporate labor investment efficiency is more pronounced for firms in non-labor-intensive industries, private firms, and those with more highly skilled labor. Overall, this study deepens our understanding of digital transformation's governance role in improving corporate labor investment efficiency.
期刊介绍：
The intent of the editors is to consolidate Emerging Markets Review as the premier vehicle for publishing high impact empirical and theoretical studies in emerging markets finance. Preference will be given to comparative studies that take global and regional perspectives, detailed single country studies that address critical policy issues and have significant global and regional implications, and papers that address the interactions of national and international financial architecture. We especially welcome papers that take institutional as well as financial perspectives.
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