关键词:

跨区域技术协同创新, 时序指数随机图模型, 社会网络, 演化动力

Abstract:

Based on the joint patent applications of 41 cities in the Yangtze River Delta Urban Agglomeration from 2004 to 2020, a cross-regional technology collaborative innovation network is constructed, and the temporal exponential random graph model (TERGM) is used to empirically analyze the endogenous and exogenous dynamic factors that promote the evolution of the cross-regional technology collaborative innovation network. The result shows that the evolution of inter-city technological collaborative innovation relationships is the result of a combination of endogenous and exogenous factors. Inter-city technological innovation cooperation tends to be embedded in a triangle structure rather than a star-shaped structure, with prominent “small-world” and “high-agglomeration” characteristics. The evolution of the network has both stability and variability. The higher the level of economic development, advanced industrial structure and openness of cities in the network, the higher the probability of forming innovation cooperation with other cities. The cities with similar human capital levels are more inclined to establish new innovative cooperative relationships. Geographical, institutional, and organizational proximity have positive effects on inter-city technology innovation cooperation. Extending from cross-sectional to vertical dimensions and introducing time-dependent terms for the evolution dynamics of cross-regional technological collaborative innovation network, the findings provide a path reference for the development of regional integrated innovation, as well as a new perspective for the paradigm of social science research in the network economy era.

Key words:

cross-regional technological collaborative innovation, temporal exponential random graph model (TERGM), social network, evolution dynamics