京津冀产学协同创新绩效影响因素分析——基于多维邻近性视角
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作者单位:

1.北京经济管理职业学院 管理学院;2.上海交通大学 安泰经济与管理学院

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F124.3

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教育部哲学社会科学研究重大课题攻关项目“创新驱动发展战略的顶层设计与战略重点研究”(15JZD017);北京经济管理职业学院院级课题“首都临空经济区跨境电商企业的数字化转型策略研究”(20BSA02)


Analysis of Influencing Factors of Industry-university Collaborative Innovation Performance in Beijing-Tianjin-Hebei Region:Based on the perspective of multi-dimensional proximity
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1.School of Management,Beijing Institute of Economics and Management;2.Antai College of Economics Management,Shanghai Jiao Tong University,Shanghai ,China

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    摘要:

    产学协同创新是区域协同发展的内在动力,多维邻近性作为创新主体获取外部知识的关键因素,对协同创新绩效有重要影响。文章基于多维邻近性视角,采用京津冀28个高校和492家企业2009—2018年在中国国家知识产权局共同联合申请并授权的发明专利数据,运用负二项回归模型进行了实证分析。研究结果表明:①地理邻近性对产学创新主体间的协同创新绩效具有显著促进作用;②制度邻近性对产学主体协同创新具有积极正向作用;③技术邻近性对产学协同创新绩效具有显著倒U型作用;④技术邻近性与地理邻近性的交互作用会对京津冀产学协同创新绩效产生显著负向影响;⑤技术邻近性与制度邻近性的交互作用对京津冀产学协同创新绩效产生显著负向影响;⑥地理邻近性与制度邻近性的交互作用对京津冀产学协同创新绩效产生正向作用但不显著。因此,京津冀应加大交通运输基础设施和通信网络投资,加强企业自主技术创新能力建设,加快完善制度和市场一体化政策的实施和管理,发挥多维邻近性对协同创新绩效的交互作用,实现科技创新资源优化聚集,形成京津冀协同创新共同体。

    Abstract:

    Industry-university collaborative innovation is the internal driving force for regional coordinated development, and multi-dimensional proximity, as a key factor for innovation entities to acquire external knowledge, has an important impact on the performance of collaborative innovation. Based on the perspective of multi-dimensional proximity, this article uses the invention patent data jointly applied for and authorized by China Intellectual Property Administration of from 2009 to 2018 by 28 universities and 492 companies in Beijing-Tianjin-Hebei, and conducts an empirical analysis using a negative binomial regression model. The results show that: ①Geographic proximity has a significant role in promoting the collaborative innovation performance of industry-university; ②Institutional proximity has a positive effect on the collaborative innovation of industry-university; ③Technological proximity has a positive effect on the collaborative innovation of industry-university, and it has a significant inverted U-shaped effect on the performance of collaborative innovation; ④The interaction between technological proximity and geographic proximity will have a significant negative impact on the performance of industry-university collaborative innovation in Beijing-Tianjin-Hebei region; ⑤The interaction between technical proximity and institutional proximity has a significant negative impact on the performance of industry-university collaborative innovation in Beijing-Tianjin-Hebei region; ⑥The interaction of geographic proximity and institutional proximity has a positive but not significant effect on the performance of industry-university collaborative innovation in Beijing-Tianjin-Hebei region. Therefore, Beijing-Tianjin-Hebei region should increase investment in transportation infrastructure and communication networks, and strengthen the construction of independent technological innovation capabilities of enterprises, and accelerate the implementation and management of perfect systems and market integration policies, and play the interactive effect of multi-dimensional proximity on the performance of collaborative innovation. To realize the optimization and aggregation of innovation resources, Beijing-Tianjin-Hebei region should form the collaborative innovation community.

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陈红军,谢富纪.京津冀产学协同创新绩效影响因素分析——基于多维邻近性视角[J].技术经济,2021,40(10):108-118.

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  • 收稿日期:2021-02-13
  • 最后修改日期:2021-10-27
  • 录用日期:2021-09-17
  • 在线发布日期: 2021-11-18
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