中心性
产业组织
背景(考古学)
集聚经济
业务
商业集群
经济地理学
生物制药
相互依存
星团(航天器)
指数随机图模型
工业区
政府(语言学)
机制(生物学)
构造(python库)
中间性中心性
排名(信息检索)
计算机科学
调解
网络分析
空间网络
图形
复杂网络
溢出效应
网络理论
节点(物理)
传递关系
空间语境意识
同步(交流)
第二经济部门
分布(数学)
分类
作者
Lanqing Ge,Chunyan Li,Deli Cheng
摘要
ABSTRACT Against the backdrop of profound economic restructuring, the establishment of patent‐intensive industrial cluster networks is of great significance for enhancing China's overall innovation capacity and propelling industrial transformation and upgrading. This study takes the biopharmaceutical industry as an example, utilizing patent data spanning from 2012 to 2023 to construct an innovation network. It delves into the spatial distribution characteristics of patent‐intensive industrial clusters at the urban scale. Furthermore, a temporal exponential random graph model (TERGM) is employed to uncover the multidimensional dynamics driving network evolution. The findings reveal that cities ranking high in various centrality measures within the biopharmaceutical industrial cluster network exhibit stability, with a notable concentration in the eastern coastal regions. Spatial correlations within the cluster network are primarily driven by spillover effects across sectors. The biopharmaceutical industrial cluster network demonstrates positive mediation and transitive effects, accompanied by negative agglomeration effects. Factors such as economic development, the level of openness, heterogeneity in administrative hierarchies, government support levels, and multidimensional proximity among cities all contribute to driving the formation and evolution of the network. The conclusions broaden the application of innovation network theory within the specific context of China and provide a scientific basis for decision‐making in fostering patent‐intensive industrial clusters.
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