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作 者:尹洁[1] 伍靖平 李锋[1] YIN Jie;WU Jing-ping;LI Feng(School of Economics and Management,Jiangsu University of Science and Technology,Zhenjiang 212100)
机构地区:[1]江苏科技大学经济管理学院,江苏镇江212100
出 处:《软科学》2025年第1期70-76,共7页Soft Science
基 金:国家社会科学基金项目(19CGL010);江苏省社会科学应用研究精品工程课题(24SYB-026)。
摘 要:基于2011—2020年中国30个省域的面板数据,运用熵值法和随机前沿分析法分别测算各省的数字经济发展水平和工业企业创新效率,实证检验和分析两者的作用机制。研究发现:数字经济发展能显著提升工业企业创新效率,该结论先后通过了稳健性和内生性检验;促进产业结构升级和降低对外技术依赖度是数字经济发展影响工业企业创新效率的主要传导路径,这一结论具有强稳健性;工业企业规模和政府支持水平具有良好的门槛效应,工业企业规模越小,政府支持水平越高,数字经济发展对工业企业创新效率的提升效果越好。Based on the panel data of 30 provinces in China from 2011 to 2020,this paper uses the entropy method and stochastic frontier analysis method to measure the digital economy development level and industrial enterprise innovation efficiency of each province,empirically testing and analyzing the mechanism of the two.The results show that the development of the digital economy can significantly improve the innovation efficiency of industrial enterprises,and this conclusion has passed the robustness and endogeneity tests.Promoting the upgrading of industrial structure and reducing the degree of external technology dependence are the main paths for the digital economy to affect the innovation efficiency of industrial enterprises,and this conclusion has strong robustness.The scale of industrial enterprises and the level of government support have a good threshold effect.The smaller the scale of industrial enterprises and the higher the level of government support,the better the effect of digital economy development on the improvement of innovation efficiency of industrial enterprises.
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