Author ORCID Identifier
Ruguo Fan: https://orcid.org/0009-0005-2806-828X
Yang Qi: https://orcid.org/0009-0008-7679-6187
Yitong Wang: https://orcid.org/0009-0004-7535-3377
Rongkai Chen: https://orcid.org/0000-0003-1486-1322
Abstract
Digital innovation drives sustainable development, yet its potential to reduce spatial inequalities depends on how cities connect within innovation networks. Whilst intercity collaboration is crucial, cities vary dramatically in their network integration. Existing research examines digital innovation and knowledge networks separately, leaving the role of knowledge network embeddedness in shaping intercity collaboration theoretically underdeveloped. This study investigates the formation mechanisms and evolutionary dynamics of intercity digital innovation networks in China using a multilayer network framework. Drawing on 126,529 co-invented patents from 2008–2023, we employ the temporal exponential random graph model to analyse network formation. Results reveal that beyond endogenous network effects and socioeconomic attributes, cities’ knowledge network embeddedness influences collaboration patterns. Temporal analysis demonstrates evolution from sparse, hierarchical structures dominated by eastern coastal cities toward denser, polycentric configurations with inland penetration. Industry-specific analysis reveals sectoral heterogeneity. These findings establish knowledge structure as a key determinant of network formation.
Recommended Citation
Fan, R.,
Qi, Y.,
Wang, Y.,
&
Chen, R.
(In press).
Weaving Digital Innovation Across China’s Cities: A Multilayer Framework and Network Dynamics of Intercity Digital Innovation Networks.
Information Technology for Development.
Available at:
https://aisel.aisnet.org/itd/vol32/iss3/18