工业技术经济2025，Vol.44Issue(4)：90-98,9.DOI:10.3969/j.issn.1004-910X.2025.04.008
大数据应用、创新要素配置与制造业企业劳动生产率
Big Data Application,Innovative Factor Allocation,and Labor Productivity of Manufacturing Enterprises
摘要
Abstract
Big data application can promote the restructuring of enterprise production methods and provide driving force for manufacturing enterprises to improve labor productivity.Taking Chinese manufacturing listed companies from 2013 to 2021 as the re-search object,the paper employs a panel two-way fixed effects model for empirical testing,and finds that big data application can significantly promote labor productivity in manufacturing enterprises,and the regression results remain robust after a series of ro-bustness and endogeneity tests.The mechanism analysis result indicates that big data application promotes labor productivity in manu-facturing enterprises by optimizing the allocation of innovative factors.The heterogeneity analysis results indicate that there is hetero-geneity in the impact of big data applications on labor productivity in manufacturing enterprises,with non-state-owned enterprises,large-scale enterprises,capital intensive enterprises,and enterprises in eastern regions having a greater promoting effect of big data applications on labor productivity.This paper unveils the mechanism through which big data application enhances labor productivity in manufacturing enterprises,offering a theoretical foundation and practical insights for boosting labor productivity in manufacturing enterprises.关键词
大数据应用/劳动生产率/创新要素配置/制造业企业/数字技术/数据基础设施/面板双向固定效应模型/生产率悖论Key words
big data application/labor productivity/innovation factor allocation/manufacturing enterprises/digital tech-nology/data infrastructure/panel two-way fixed effects model/productivity paradox分类
管理科学引用本文复制引用
孙献贞..大数据应用、创新要素配置与制造业企业劳动生产率[J].工业技术经济,2025,44(4):90-98,9.基金项目
浙江省哲学社会科学规划青年一般课题"大数据赋能浙江省制造业碳减排的机制、效应与政策研究"(项目编号:24NDQN054YB) （项目编号:24NDQN054YB）
浙江省教育厅一般项目"人工智能发展对城市劳动力空间错配的影响研究"(项目编号:Y202456270). （项目编号:Y202456270）
