{"title":"大数据与企业层面的生产力——一个跨国比较","authors":"Raphaela Andres , Thomas Niebel , Robin Sack","doi":"10.1016/j.infoecopol.2025.101147","DOIUrl":null,"url":null,"abstract":"<div><div>Until today, the question of how digitalisation and, in particular, individual digital technologies affect productivity is still the subject of controversial debate. Using administrative firm-level data provided by the Dutch and the German statistical offices, we investigate the economic importance of data, in particular, the relation between the application of <em>big data analytics</em> (BDA) and <em>labour productivity</em> (LP) at the firm level. We find that a simple binary measure indicating the mere usage of BDA fails to capture the association between BDA and LP. In contrast, measures of BDA diversity, defined as conducting BDA across multiple data sources, clearly show a positive and statistically significant relationship between BDA and LP, even after controlling for a firm's general digitalisation level. Hence, our results suggest that one mechanism through which firms conducting BDA may achieve greater productivity gains is by incorporating data from multiple domains.</div></div>","PeriodicalId":47029,"journal":{"name":"Information Economics and Policy","volume":"71 ","pages":"Article 101147"},"PeriodicalIF":3.2000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Big data and firm-level productivity – A cross-country comparison\",\"authors\":\"Raphaela Andres , Thomas Niebel , Robin Sack\",\"doi\":\"10.1016/j.infoecopol.2025.101147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Until today, the question of how digitalisation and, in particular, individual digital technologies affect productivity is still the subject of controversial debate. Using administrative firm-level data provided by the Dutch and the German statistical offices, we investigate the economic importance of data, in particular, the relation between the application of <em>big data analytics</em> (BDA) and <em>labour productivity</em> (LP) at the firm level. We find that a simple binary measure indicating the mere usage of BDA fails to capture the association between BDA and LP. In contrast, measures of BDA diversity, defined as conducting BDA across multiple data sources, clearly show a positive and statistically significant relationship between BDA and LP, even after controlling for a firm's general digitalisation level. Hence, our results suggest that one mechanism through which firms conducting BDA may achieve greater productivity gains is by incorporating data from multiple domains.</div></div>\",\"PeriodicalId\":47029,\"journal\":{\"name\":\"Information Economics and Policy\",\"volume\":\"71 \",\"pages\":\"Article 101147\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-09-11\",\"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/S0167624525000216\",\"RegionNum\":3,\"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":"Information Economics and Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167624525000216","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Big data and firm-level productivity – A cross-country comparison
Until today, the question of how digitalisation and, in particular, individual digital technologies affect productivity is still the subject of controversial debate. Using administrative firm-level data provided by the Dutch and the German statistical offices, we investigate the economic importance of data, in particular, the relation between the application of big data analytics (BDA) and labour productivity (LP) at the firm level. We find that a simple binary measure indicating the mere usage of BDA fails to capture the association between BDA and LP. In contrast, measures of BDA diversity, defined as conducting BDA across multiple data sources, clearly show a positive and statistically significant relationship between BDA and LP, even after controlling for a firm's general digitalisation level. Hence, our results suggest that one mechanism through which firms conducting BDA may achieve greater productivity gains is by incorporating data from multiple domains.
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.