系统管理学报

系统管理学报 ›› 2021, Vol. 30 ›› Issue (2): 227-237.DOI: 10.3969/j.issn.1005-2542.2021.02.003

• 技术与创新管理 • 上一篇    下一篇

知识源异质性视角下知识溢出与区域创新绩效关系——基于知识产权保护的门槛效应分析

林周周，苏屹   

  1. 1. 苏州大学 政治与公共管理学院，江苏 苏州 215123；2. 哈尔滨工程大学 经济管理学院，哈尔滨 150001
  • 出版日期:2021-03-28 发布日期:2021-04-23
  • 通讯作者: 苏 屹（1983-），男，教授，博士生导师。
  • 作者简介:林周周（1989-），男，博士，讲师。研究方向为知识管理与技术创新
  • 基金资助:
    国家自然科学基金资助项目（71774036，71872057，71804084）；教育部人文社科青年项目（18YJC630245）；黑龙江省社会科学基金资助项目（17GLH21，18GLB023）；黑龙江省自然科学基金资助项目（QC2018088）

Relationship Between Knowledge Spillover and Regional Innovation Performance from the Perspective of Knowledge Source Heterogeneity: Threshold Effect Analysis Based on Intellectual Property Protection

LIN Zhouzhou，SU Yi   

  1. 1. School of Politics and Public Administration，Soochow University，Suzhou 215123，Jiangsu，China；2. School of Economics and Management，Harbin Engineering University，Harbin 150001，China
  • Online:2021-03-28 Published:2021-04-23

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摘要： 从知识源异质性视角，将知识溢出划分为省际知识溢出与国际知识溢出双渠道，采用2009~2016年中国30个省（市、自治区）的面板数据构建非线性面板门槛模型，以知识产权保护为门槛变量，实证分析双渠道知识溢出与区域创新绩效的非线性关系。结果表明：双渠道知识溢出对区域创新绩效的影响均显著存在以知识产权保护为双重门槛的复杂非线性特征，且具有相同的门槛区间；知识产权保护处于小于-4.348和[-4.348，-2.286]、大于-2.286时，省际知识溢出的弹性系数分别为0.294、0.279和0.339，促进作用先降后升；国际知识溢出的弹性系数分别为-0.094、-0.128和0.146，溢出效应先负后正；省际知识溢出的促进效应整体更强。根据实证结果提出了降低省际知识溢出壁垒、合理控制国际知识溢出以及提高知识产权保护水平等方面的区域创新绩效提升策略。

关键词: 省际知识溢出, 国际知识溢出, 知识产权保护, 区域创新绩效, 门槛模型

Abstract: From the perspective of knowledge source heterogeneity, this paper divided knowledge spillover into inter-provincial knowledge spillover and international knowledge spillover. Then it constructed nonlinear panel threshold models by using the panel data of 30 regions in China from 2009 to 2016, taking intellectual property protection as the threshold variable, and empirically analyzed the nonlinear relationship between knowledge spillovers and regional innovation performance. The result shows that the impact of double-channel knowledge spillover on regional innovation performance has a complex nonlinear characteristic with the double threshold of intellectual property protection, and they have the same threshold. When intellectual property protection is less than －4.348, [－4.348, －2.286] and greater than －2.286, the elastic coefficients of inter-provincial knowledge spillover are 0.294, 0.279 and 0.339 respectively, which shows that the promotion effect first descends and then rises. The elastic coefficients of international knowledge spillover are －0.094, －0.128 and 0.146 respectively, which shows that the spillover effect is first negative and then positive. The promotion effect of inter-provincial knowledge spillover is stronger overall. Based on the empirical results, this paper proposes some strategies for improving regional innovation performance in reducing barriers to inter-provincial knowledge spillover, reasonably controlling international knowledge spillover, and improving intellectual property protection.

Key words: inter-provincial knowledge spillover, international knowledge spillover, intellectual property protection, regional innovation performance, threshold model