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作 者:戴为民[1] 李国栋 DAI Weimin;LI Guodong(School of Economics,Anhui University of Finance and Economics,Bengbu,Anhui 233030,China)
出 处:《安徽理工大学学报(社会科学版)》2022年第6期1-9,共9页Journal of Anhui University of Science and Technology:Social Science
基 金:安徽财经大学研究生科研创新基金项目(ACYC2021365)。
摘 要:以长三角城市群为研究对象,文章首先对数字经济影响区域全要素生产率的机理进行分析并提出了假设;其次,采用主成分分析法和超越对数模型假定的SFA法分别测算城市数字经济发展水平和全要素生产率,并根据2010—2020年经验数据,在克服模型内生性的基础上展开实证研究。研究显示,数字经济发展能够显著提升全要素生产率,但存在异质性。内在机制检验结果表明,技术创新和人力资本投资是数字经济提升全要素生产率的作用渠道。最后,文章结合实证结果给出数字经济时代提升长三角地区全要素生产率的政策建议。研究将为评估数字经济对全要素生产率的影响效应提供理论支撑和分析视角。Taking Yangtze River Delta Urban Agglomeration as the research object,this paper firstly analyzes the mechanism of digital economy affecting regional total factor productivity and puts forward the hypothesis;Secondly,the principal component analysis method and the SFA method assumed by the logarithmic model are used to measure the development level and total factor productivity of the urban digital economy respectively,and based on the empirical data from 2010 to 2020,an empirical study is carried out on the basis of overcoming the endogeneity of the model.Research shows that the development of digital economy can significantly improve the total factor productivity,but there is heterogeneity.The results of internal mechanism test show that technological innovation and human capital investment are the action channels of digital economy to improve total factor productivity.Finally,combined with the empirical results,this paper gives policy suggestions for improving the total factor productivity of the Yangtze River Delta in the digital economy era.This study will provide theoretical support and analytical perspective for evaluating the impact of digital economy on total factor productivity.
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