Abstract
ABSTRACT Although researchers have stressed the effects of scientific, geographical and economic factors on patent collaboration at a global or national scale, few studies explored the evolutionary mechanism of collaboration in cross-border megalopolitan areas. In this context, the article investigates the spatial patterns and provides a dynamic evaluation of different types of determinants on the intercity co-invention network of the Greater Pearl River Delta in China. Using the patent application data over the period of 2008–2016, social network analysis results confirm that the co-invention network has become more cohesive and more decentralised, and the ‘core-periphery’ structure remains stable. The empirical results from Exponential Random Graph Model show that the establishment of high-speed railway network is gaining importance in collaboration with time. While regional, linguistic borders impede the collaborations at first, the effect is diminishing. Besides, cognitive proximity, R&D input intensity, educational level and triadic closure contribute positively to the co-invention network, and their relevance remain nearly the same over time.
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