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作 者:杨天山 袁功林[2] 武可栋 Yang Tianshan;Yuan Gonglin;Wu Kedong(School of Economics,Guangxi University,Nanning 530004,China;School of Mathematics and Information Science,Guangxi University,Nanning 530004,China;School of Finance and Economics,Nanning College for Vocational Technology,Nanning 530008,China)
机构地区:[1]广西大学经济学院,南宁530004 [2]广西大学数学与信息科学学院,南宁530004 [3]南宁职业技术学院财经学院,南宁530008
出 处:《统计与决策》2023年第15期161-166,共6页Statistics & Decision
基 金:广西自然科学基金资助项目(2023GXNSFBA026063);广西职业教育教学改革研究项目(GXGZJG2020A005)。
摘 要:文章考虑数字化转型与劳动力技能结构互动现象,基于互补理论构建了劳动力技能结构促进数字化转型的全要素生产率效应微观机制。同时,基于2010—2021年我国A股上市公司数据的实证检验结果表明,高等技能劳动力与企业数字化转型存在互补效应,能够显著促进数字化转型的全要素生产率效应。异质性分析结果表明,在技术密集型与劳动密集型行业、大规模企业、年轻企业和中西部地区高等技能劳动力与企业数字化转型的互补效应更强。Considering the interaction between digital transformation and labor skill structure,this paper is based on the complementary theory to construct the micro-mechanism of total factor productivity(TFP)effect of labor skill structure promoting digital transformation.At the same time,based on the data of China’s A-share listed companies from 2010 to 2021,the empirical test is conducted to show that there is a complementary effect between highly skilled labor and digital transformation of enterprises,which can significantly promote the total factor productivity effect of digital transformation.Heterogeneity analysis results show that the complementary effect of highly skilled labor and enterprise digital transformation is stronger in technology-intensive and labor-intensive industries,large-scale enterprises,young enterprises and the central and western regions.
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