人力资本投入对区域创新绩效的影响研究——基于知识产权保护制度门限回归

发布时间：2018-03-04 11:01

本文选题：区域创新系统　切入点：知识产权保护强度　出处：《科学学研究》2017年05期 　论文类型：期刊论文

【摘要】：基于2009-2013年度中国23个省市区的面板数据,以区域创新系统知识产权保护强度为门限变量,利用面板门限回归模型,探究不同门限效应下,创新人力资本投入对区域创新绩效影响的差异性。实证研究结果表明创新人力资本投入与滞后二期的专利授权量之间存在显著的三重门限效应,知识产权保护强度处于[0.184,0.256]、[0.256,0.448]及大于0.448时,创新人力资本投入对专利授权量的影响系数分别为0.483、0.682、0.592,促进作用先增后减。创新人力资本投入与滞后三期的新产品销售收入之间均存在显著的双重门限效应,知识产权保护强度处于小于0.140、[0.140,0.980]、大于0.980时,创新人力资本投入对新产品销售收入的影响系数分别为0.503、0.318、0.241,促进作用渐小。在实证研究的基础上,从人才机制的完善、提升知识产权保护强度及科研成果有效转化三方面,提出促进人力资本投入对创新绩效的推动作用的对策。
[Abstract]:Based on the panel data of 23 provinces and municipalities in China in 2009-2013, using the IPR protection intensity of regional innovation system as the threshold variable, using the panel threshold regression model to explore the different threshold effects. The empirical results show that there is a significant triple threshold effect between innovative human capital investment and patent licensing in the second phase. When the intensity of intellectual property protection is at [0.184, 0.256], [0.256, 0.448] and greater than 0.448, The influence coefficient of innovation human capital investment on patent licensing is 0.483n0.682n0.592respectively. The promoting effect increases first and then decreases. There is a significant double threshold effect between innovation human capital investment and the new product sales income which lags behind three periods. When the intensity of intellectual property protection is less than 0.140, [0.140 ~ 0.980], when it is greater than 0.980, the influence coefficient of innovative human capital input on the sales income of new products is 0.5030.3180.241 respectively, which has a small promoting effect. On the basis of empirical research, the consummation of talent mechanism, In order to improve the intensity of intellectual property protection and the effective transformation of scientific research results, this paper puts forward the countermeasures to promote the promotion of human capital investment to the innovation performance.
【作者单位】：哈尔滨工程大学经济管理学院;清华大学经济管理学院;
【基金】：国家自然科学基金资助项目(71403066) 国家社会科学基金重点项目(14AGL004) 中央高校基本科研费专项基金(HEUCF140907)
【分类号】：F124.3

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