This study examines the spatio-temporal heterogeneity and proximity mechanisms of innovation networks in Sichuan and Chongqing by social network analysis and a stochastic actor-oriented model. The findings reveal the following: (1) The quantity of innovation collaborations has significantly increased, resulting in a denser network. A core-periphery structure has emerged, with Chengdu and the Chongqing Central Urban Area serving as the core; (2) Chengdu has played a leading role in the network, while the cities in the Chongqing Central Urban Area have progressively gained importance since 2010, acting as a hub for innovation resource gathering and transit. However, there is a clear tendency toward innovative cooperation between cities within the province; (3) The initial establishment of innovation linkages incurs costs, with endogenous variables playing significant roles in network evolution. Multi-dimensional proximity has positive effects on network evolution, although the level of GDP per capita somewhat hinders innovative cooperation.
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Fengqiuyu Wang (2024) studied this question.
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