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September 19, 2025Managerial and Decision Economics

Research on the Driving Mechanism of Network Structure of Patent‐Intensive Industrial Clusters: Taking Biopharmaceutical Industry as an Example

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Authors

LGLanqing GeShanghai International Studies UniversityCLChunyan LiShanghai International Studies UniversityDCDeli ChengWenzhou University

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Implication

This study employs a temporal exponential random graph model to analyze network dynamics in patent-intensive clusters, suggesting key drivers for innovation.

Key Points

  • High centrality measures within the biopharmaceutical industrial cluster network indicate stability in cities.
  • Analysis from 2012 to 2023 reveals positive mediation and transitive effects within the innovation network.
  • The research highlights the role of spillover effects and various factors driving network evolution.
  • Findings provide a foundation for fostering patent-intensive industrial clusters to enhance China's innovation capacity.

Cite This Study

Ge et al. (2025) studied this question.

synapsesocial.com/papers/68d466af31b076d99fa651eahttps://doi.org/10.1002/mde.70028
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