知识网络动态性对高校协同创新绩效的影响研究：合作网络的调节作用

杨蕙馨¹  孙芹¹  王海花²

（1. 山东大学管理学院  2. 上海大学管理学院）

 

内容提要：本文基于依存型多层网络视角，将高校知识网络、高校合作网络和区域合作网络纳入同一个框架，运用2009—2020年长三角地区产学研联合申请专利非平衡面板数据，通过负二项回归分析，探究知识网络动态性对高校协同创新绩效的影响。实证结果显示：（1）知识网络动态性显著地正向影响高校协同创新绩效；（2）高校合作网络结构洞正向调节知识网络动态性对高校协同创新绩效的影响；（3）区域合作网络结构洞强化了高校合作网络结构洞在知识网络动态性与高校协同创新绩效的调节效应。本文的研究结论拓展了知识网络与高校创新绩效的相关文献，同时为高校产学研协同创新提供了实践指导。

 

关键词：知识网络；网络动态性；合作网络；依存型多层网络；协同创新绩效

 

作者简介：杨蕙馨，山东大学管理学院教授、博士生导师，济南，250100；孙芹，山东大学管理学院博士研究生，通讯作者；王海花，上海大学管理学院副教授，上海，200444。

 

基金项目：国家社会科学基金重大项目“‘两业’融合推动中国制造业高质量发展研究”（20&ZD083）

 

引用格式：杨蕙馨,孙芹,王海花.知识网络动态性对高校协同创新绩效的影响研究：合作网络的调节作用[J].经济与管理研究,2022,43(10):68-80.DOI:10.13502/j.cnki.issn1000-7636.2022.10.005.

　　

　　

Research on Impact of Knowledge Network Dynamics on Collaborative Innovation Performance in Universities: Moderating Role of Cooperation Networks

YANG Huixin¹, SUN Qin¹, WANG Haihua²
 

(1. Shandong University, Jinan 250100;

2. Shanghai University, Shanghai 200444)

　　

　　Abstract: From the dependent multi-layer network perspective, this paper uses the unbalanced panel data of industry-university-research joint patent application in the Yangtze River Delta from 2009 to 2020 to integrate university knowledge networks, university cooperation networks and regional cooperation networks into the same framework. Then, the negative binomial regression analysis is used to explore the influence of knowledge network dynamics on collaborative innovation performance of universities. The empirical findings are shown as follows. Firstly, knowledge network dynamics has a significant positive impact on collaborative innovation performance. Secondly, the structural hole of university cooperation networks positively moderates the influence of knowledge network dynamics on collaborative innovation performance. Thirdly, the structural hole of regional cooperation networks strengthens the moderating effect of the structural hole of university cooperation networks on knowledge network dynamics and collaborative innovation performance of universities. These conclusions may expand the relevant literature on knowledge network and innovation performance of universities, and provide practical guidance for industry-university-research collaborative innovation in universities.

 

　　Keywords:  knowledge network; network dynamics; cooperation network; dependent multi-layer network; collaborative innovation performance