Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system

By Li-fen Yao, Jun Yu Li, Jian Li. 2020

156 citations recorded by the source corpus.

Abstract This research investigates the impact of extralocal interactions in intercity coinvention networks on innovation in cities. Adopting a social network lens, we argue that the innovation performance of a city hinges on its centrality in intercity coinvention networks, its ability to fill structural holes in these networks, and its node cohesiveness and transitivity within ego networks. Using a unique longitudinal data set of patents granted from 2001 to 2016 in China, we construct two types of networks—those involving collaborations among universities as well as research institutes (URI) and those involving industry actors only (II)—and identify six major stylized facts in regards to the formation of a complex intercity innovation network within China’s national innovation system. A random-effects negative binomial regression model reveals positive effects of the degree centrality and structural holes variables on urban innovation in both URI and II networks, while a fixed-effects model suggests that the effects are only significant for II networks. Our study confirms that city innovation not only is determined by local innovative activities but also is enhanced when cities are deeply embedded in intercity innovative networks.

Subfields: Economics and Econometrics, Management of Technology and Innovation, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/b18ba191f456839f5f8de4df61f7e9a420764783