Spatial Structure and Network Characteristics of the Coupling Coordination Innovation Ecosystems in the Guangdong-Hong Kong-Macao Greater Bay Area

Abstract

Abstract Using the coupling coordination degree model and social network analysis, the spatial structure and network characteristics of the coupling coordination of regional innovation ecosystems in the Guangdong-Hong Kong-Macao Greater Bay Area from 2010-2019 are explored in depth. The findings indicate that: (1) the kernel density curve is moving to the right, and the overall coupling coordination level is continuously optimized. The centre of gravity for coupling coordination shifts to the southeast, the elliptical area decreases year by year, and the trend surface always maintains a convex tendency toward the centre, with the coupling coordination level along the "Guangdong-Shenzhen-Hong Kong-Macao Science and Technology Innovation Corridor" becoming more and more prominent. (2) The spatial linkages in the Greater Bay Area are becoming closer, and there are significant spatial transaction costs in the regional innovation ecological network. In the face of the US-China trade war in 2019, Jiangmen and Zhaoqing's level of connectivity with other cities decreases significantly, and there is a risk of marginalization. (3) Guangzhou, Shenzhen and Hong Kong are the core nodes of the network. The "core-edge" spatial structure of the network is significant, displaying the dual traits of robustness and susceptibility.