This paper investigates the relationship between global innovation networks (GINs) and global value chains (GVCs). Using patent cooperation data to construct a global innovation cooperation network, the study analyzes the impact of network characteristics (eigenvector centrality, network connectivity, and network structural holes) on GVC status. Empirical findings reveal that GIN characteristics significantly affect GVC status; higher eigenvector centrality and network connectivity are associated with higher GVC status, while higher constraint is linked to lower GVC status. Heterogeneity analysis shows differing impacts across developed, emerging, and developing economies.
Publisher
Humanities & Social Sciences Communications
Published On
Jul 06, 2024
Authors
Shenyi Xu, Ganghui Lian, Miaoyuan Song, Aiting Xu
Tags
global innovation networks
global value chains
patent cooperation
network characteristics
eigenvector centrality
network connectivity
economic heterogeneity
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