系统管理学报

系统管理学报 ›› 2021, Vol. 30 ›› Issue (1): 142-149.DOI: 10.3969/j.issn.1005-2542.2021.01.013

• 技术与创新管理 • 上一篇    下一篇

产学研协同发展、知识积累与技术创新效率——基于动态面板门限机理实证分析

肖振红，范君荻，李炎   

  1. 哈尔滨工程大学 经济管理学院，哈尔滨150001
  • 出版日期:2021-01-28 发布日期:2021-03-05
  • 通讯作者: 范君荻（1994-），女，博士生。
  • 作者简介:肖振红（1967-），女，博士，教授。研究方向为科技创新与区域创新
  • 基金资助:
    黑龙江省自然科学基金资助项目（G2018004）

Industry-University-Research Collaborative Innovation, Knowledge Accumulation, and Technology Innovation Efficiency: An Empirical Analysis Based on Dynamic Panel Threshold Mechanism

XIAO Zhenhong，FAN Jundi，LI Yan   

  1. School of Economics and Management，Harbin Engineering University，Harbin 150001，China
  • Online:2021-01-28 Published:2021-03-05

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摘要： 基于产学研耦合协调度测度模型、数据包络分析模型以及动态面板门限回归模型，运用2013~2017年中国30个省市的面板数据，研究以知识积累为门限变量时，产学研协同发展水平对区域技术创新效率产生的影响。实证结果表明：当以知识积累水平为门限变量时，产学研协同发展水平与技术创新效率间存在明显的双门限效应；随着知识积累水平的提升，产学研协同发展水平对于技术创新效率的影响由负向影响转变为正向影响，且影响程度不断提升，进而可以划分低知识积累区间(KS≤0.324 0)、中知识积累区间(0.324 0＜KS≤2.021 2)及高知识积累区间(KS＞2.021 2)3种类型；中国各地区的知识积累水平存在明显的时间与空间异质性，处于低知识积累区间的地区多为西部偏远地区。因此应加强区域间知识与技术的扩散、吸收以及传承积累，加强中西部与东部地区的联动以促进区域技术创新效率的提升。

关键词: 产学研协同发展, 知识积累, 技术创新效率

Abstract: Based on the coupling model of industry-university-research collaboration, the data envelopment analysis model, and the dynamic panel threshold regression model, the impact of the level of collaborative development of industry, university, and research on the efficiency of regional technological innovation when knowledge accumulation was the threshold variable was studied using the panel data from 30 provinces and cities in China from 2013 to 2017. The empirical results show that when the level of knowledge accumulation is the threshold variable, there is a clear double threshold effect between the level of synergy between industry-university-research and the efficiency of technological innovation. With the increase of knowledge accumulation, the impact of the development of industry-university-research collaboration on the efficiency of technological innovation changes from negative to positive, and the degree of influence continuously increases, and then the low knowledge accumulation interval (KS≤0.3240), the middle knowledge accumulation interval (0.32402.0212) can be divided. There is an obvious temporal and spatial heterogeneity in knowledge accumulation in various regions of China, and the regions in the low knowledge accumulation range are mostly remote areas in the west. Therefore, it is necessary to strengthen the diffusion, absorption, inheritance, and accumulation of knowledge and technology between regions, and strengthen the linkage between the central and western regions and the eastern region to promote the improvement of regional technological innovation efficiency.