数字经济对工业劳动生产率的影响研究  

Research on the Impact of Digital Economy on Industrial Labor Productivity

作　　者：黄建康 潘钰秋 Huang Jiankang;Pan Yuqiu(School of Business,Jiangnan University,Wuxi 214122,China)

机构地区：[1]江南大学商学院,无锡214122

出　　处：《工业技术经济》2022年第12期38-44,共7页Journal of Industrial Technological Economics

基　　金：国家自然科学基金青年项目“创投双方匹配结构对企业经济绩效的影响机制及调控政策研究”(项目编号:71903077);教育部人文社会科学青年基金项目“退出不确定性对风险投资的影响机制研究”(项目编号:18YJC790029)。

摘　　要：在数字经济发展迅速、传统工业产业发展乏力的背景下,能否借助数字经济与传统工业的融合,提高工业劳动生产率,这对工业高质量发展至关重要。本文选取2013~2020年的省际面板数据为样本,通过熵值法构建了包含数字产业化、产业数字化两个维度的发展指数以衡量数字经济,实证探究数字经济对工业劳动生产率的影响。实证结果表明:数字经济发展指数及其分解指标对工业劳动生产率都有显著的促进作用,并且通过进一步的门槛检验发现数字经济对工业劳动生产率的影响存在基于人力资本的单门槛效应。Under the background of rapid development of digital economy and weak development of traditional industries,it is crucial for high-quality industrial development to improve industrial labor productivity by virtue of the integration of digital economy and traditional industries.This paper selects provincial panel data from 2013 to 2020 as samples,and constructs a development index including two dimensions of digital industrialization and industrial digitalization through entropy method to measure the digital economy,and empirically explores the impact of digital economy on industrial labor productivity.The empirical results show that the digital economy development index and its decomposition indicators have a significant role in promoting industrial labor productivity,and through further threshold tests,it is found that the impact of digital economy on industrial labor productivity has a single threshold effect based on human capital.

关 键 词：数字经济 工业劳动生产率 熵值法 门槛效应 工业高质量发展 人力资本 

分 类 号：F49[经济管理—产业经济] F424