科研机构合作网络演化特征对创新绩效的影响

Influence of Cooperation Network Evolution Characteristics on Innovation Performance of Scientific Research Institutions: Taking Chinese Academy of Sciences as an Example

摘要:

基于中国科学院1985－2019年合作专利数据构建专利合作网络，在对专利合作态势以及城市尺度合作网络进行演化分析的基础上，采用负二项回归模型检验度数中心度、中间中心度、接近中心度、结构洞及其二次项对创新合作网络节点创新绩效的影响。研究发现：（1）1985－2019年间中科院专利合作保持快速增长态势，发展过程呈现三阶段特征，其中企业是最广泛的合作主体，专利合作从传统行业向高新技术行业转移趋势较为明显；（2）专利合作空间分布差异显著，主要集中分布在东部、中部地区，基本形成以长江中游城市群为中心，以京津冀、长三角、珠三角、成渝城市群为顶点的高强度专利合作菱形区域；（3）度数中心度、中间中心度、接近中心度与当期、滞后1期、滞后2期创新绩效均显著呈倒“U”型关系，而结构洞与当期、滞后1期、滞后2期创新绩效均显著呈“U”型关系。研究结论的主要启示为：中科院应继续加强与企业、高校、科研机构等主体间的创新合作，并加强跨地区合作、优化创新空间布局，并要注意避免因中心度过高而给创新带来负面影响。

Abstract:

Based on the cooperative patent data of Chinese Academy of Sciences, this paper constructs the patent cooperation network, analyzes the evolution of patent cooperation situation and city scale cooperation network, and discusses the influence of network characteristics on innovation performance. The results show that: ①Patent cooperation maintains a rapid growth trend, the development process presents three-stage characteristics, and the trend of patent cooperation transferring from traditional industries to high-tech industries is more obvious. ②The spatial distribution of patent cooperation is significantly different, mainly concentrated in the eastern and central regions, followed by the northeast region and the western region. ③The degree centrality, intermediate centrality, and proximity centrality have a significant inverted U-shaped relationship with the innovation performance of the current period, lag phase I and lag phase II, while the structural hole has a significant U-shaped relationship with the innovation performance of the current period, lag phase I and lag phase II.