摘要
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。
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.
作者
杨蕙馨
孙芹
王海花
YANG Huixin;SUN Qin;WANG Haihua(Shandong University,Jinan 250100;Shanghai University,Shanghai 200444)
出处
《经济与管理研究》
CSSCI
北大核心
2022年第10期68-80,共13页
Research on Economics and Management
基金
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)。
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
knowledge network
network dynamics
cooperation network
dependent multi-layer network
collaborative innovation performance