EVOLUTION AND INFLUENCING FACTORS OF THE GREEN DEVELOPMENT SPATIAL ASSOCIATION NETWORK IN THE GUANGDONG-HONG KONG-MACAO GREATER BAY AREA
基于2015-2019年数据，运用社会网络分析和指数随机图模型，揭示粤港澳大湾区绿色发展空间关联网络的结构特征、演化规律及影响因素，发现广州、深圳、香港为网络核心，经济发展、城镇化、生态禀赋及地理、制度、产业邻近性显著影响网络形成。
Accurately grasping the structural characteristics and influencing factors of green development spatial association are significant for green coordinated development and ecological civilization construction in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). This study evaluates the GBA’s green development performance from 2015 to 2019 based on duality theory, and uses social network analysis to explore the structural characteristics and evolution of the green development spatial association network, and then uses the exponential random graph model to reveal the influencing factors of network formation. we find that: (1) the GBA’s green development is steady. Its spatial association network became increasingly complex, and tends to be tight. (2) As important hubs, Guangzhou, Shenzhen, and Hong Kong have the dominant positions in the GBA’s green development spatial association network. Huizhou, Jiangmen, Zhaoqing, and Macao are at the edge of the network, and their interoperability with other cities is relatively weak. (3) Four subgroups exist in the GBA during different periods, with obvious gradient characteristics between them, and the multilevel transmission mechanism of the green development network gradually forms. (4) Economic development and urbanization level, ecological environment endowment, and geographical, institutional, and industrial proximity all have significant impacts on the formation of the GBA’s green development spatial association network.