Research on the evolution of biotechnology cooperation networks – a study based on patent data in China from 2004 to 2023

Dados Bibliográficos

ID22075941
AutoresChongfeng Wang (0000-0001-5273-9593, Qingdao University), Yifei Wang (0000-0002-9634-4574, Qingdao University), Linfeng Zhong (0009-0003-7637-3225, Qingdao University), Jie Xu (0000-0001-5291-5198, Qingdao University, autor correspondente)
Ano2025
Volume13
Páginas1437212-1437212
Data de publicação2025-03-13
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1437212
PMID40182523
OpenAlexW4408417663
IdiomaEN
Citações recebidas1
Referências citadas121

Introduction: Biotechnology has significant potential in public health, offering critical support for communicable disease control, chronic illness management, and drug development. To foster biotechnology innovation, governments increasingly incentivize cooperations among organizations, resulting in more interconnected biotechnology cooperation networks. However, research on the evolution of these networks rely primarily on static network analysis and neglect the micromechanisms under the evolution, which lead to deviations in policymaking. Methods: Using temporal exponential random graph model (TERGM), which accounts for dynamic network correlations, and based on micromechanisms framework consisting of agency, opportunity and inertia, this study analyzes the impacts of both endogenous and exogenous factors on the evolution of biotechnology cooperation networks. Results: The empirical analysis based on China's biotechnology patent data from 2004 to 2023 reveals the following findings and policy recommendations. First, the evolution of the biotechnology cooperation networks is temporally dependent, highlighting the need for awareness of policy lags. Second, two endogenous factors - transitivity and convergence - emerge in the evolution, implying the need for government to create information platforms, establish targeted project subsidies, and enforce technical confidentiality policies. Finally, with regard to exogenous factors, the networks exhibit geographical homogeneity, implying the needs for government to promote cross-regional cooperation by establishing innovation centers and unified standards to mitigate lock-in effects and barriers

Biology · Business · China · Economics · Industrial organization · Political science · Public economics · Subsidy · Bioeconomy and Sustainability Development · Biotechnology and Related Fields · Intellectual Property and Patents · Biotechnology