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人力资本对区域创新效率影响的实证研究 被引量:10

Empirical Study of Human Capital on Regional Innovation Efficiency
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摘要 城市“抢人大战”持续上演,凸显了人才是城市发展的重要引擎,创新是引领发展的第一动力。那么,人力资本对区域创新效率的影响机理如何?不同地区人力资本对创新效率作用差异怎样?采用2011-2017年30个地区(因数据缺失,不包括西藏地区和港澳台地区)的面板数据,构建面板随机前沿模型测度了我国各地区的创新效率,进而使用包含空间自回归误差项的空间自回归模型(SARAR)探析人力资本对区域创新效率的影响作用。研究表明,资本投入能显著提高创新效率,我国的区域创新效率处于弱规模报酬阶段,各地区创新效率有明显差异,人力资本与创新效率显著正相关。最后依据实证结论提出了创新和人才施政等方面的政策建议。 “Urban Talent War”has become more and more fierce,highlighting talent is an important engine of urban development,and innovation is the first driving force for development.So,how does human capital affect regional innovation efficiency?What is the difference between human capital and innovation efficiency in different provinces and cities?A panel stochastic frontier model is used to measure the efficiency of regional innovation in our country using the panel data of 30 provinces in 2011-2017.And the influence of human capital on regional innovation efficiency is analyzed in the spatial autoregressive model with spatial autoregressive disturbance(SARAR).Studies show that capital investment can significantly improve the efficiency of innovation and China’s regional innovation efficiency in the stage of weak returns to scale.It also points that regional technological innovation efficiency have obvious differences,human capital and innovation efficiency significantly positive correlation.Finally,based on the empirical conclusion,this paper puts forward some policy suggestions about innovation and talent administration.
作者 冯江茹 Feng Jiangru(Business College of Shanxi University,Taiyuan 030031,China)
出处 《技术经济》 CSSCI 北大核心 2020年第12期123-130,共8页 Journal of Technology Economics
基金 山西省软科学研究项目“创新集聚支撑新型城镇化发展的模式、机理及路径研究”(2016041026-1)。
关键词 人力资本 区域创新效率 面板随机前沿模型 human capital regional innovation efficiency panel stochastic frontier model
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