基于异质性随机前沿模型的人力资本创新效应研究

发布时间：2018-04-24 23:06

本文选题：异质性随机前沿模型 + 人力资本　；参考：《科技进步与对策》2016年15期

【摘要】：运用异质性随机前沿模型实证分析了人力资本对中国区域创新效率及其稳定性的影响。结果表明:人力资本存量对区域创新效率及其稳定性具有显著促进作用,高中、本科和研究生人力资本增加能促进区域创新效率提高,受教育程度越高,作用越大,但大专人力资本对区域创新效率有抑制作用,人力资本教育结构对区域创新效率的稳定性也有显著影响;人力资本存量增加能提高人力资本的创新效应,在东、中和西部存在显著异质性。最后提出,可通过增加义务教育年限、提高人力资本水平;优化人力资本教育结构,提高高层次人力资本的比重;加大RD资源投入,形成人才和资金的有效匹配等政策措施,促进区域创新效率提升。
[Abstract]:Using heterogeneity stochastic frontier model, this paper empirically analyzes the influence of human capital on the efficiency and stability of regional innovation in China. The results show that the stock of human capital can significantly promote the regional innovation efficiency and its stability. The increase of human capital in senior high school, undergraduate and graduate students can promote the improvement of regional innovation efficiency, and the higher the level of education, the greater the effect. But the human capital of junior college can restrain the efficiency of regional innovation, and the structure of human capital education has a significant influence on the stability of the efficiency of regional innovation, and the increase of the stock of human capital can improve the innovation effect of human capital. There is significant heterogeneity between the middle and the west. Finally, we can improve the level of human capital by increasing the number of years of compulsory education, optimize the structure of human capital education, increase the proportion of high-level human capital, increase the input of R D resources, and form effective matching of talents and funds. Promote the efficiency of regional innovation.
【作者单位】：太原理工大学经济管理学院;
【基金】：国家自然科学基金项目(71473174) 山西省软科学基金项目(2014041003-3) 山西省社科联重点课题项目(SSKLZDKT2015027)
【分类号】：F249.2

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