多维要素流空间视角下的粤港澳大湾区网络结构特征及影响因素  

The Network Structure Characteristics and Influencing Factors of the Guangdong-Hong Kong-Macao Greater Bay Area from the Perspective of Multidimensional Element Flow Space

作　　者：王启松 陈刚 郑满茵 Wang Qisong;Chen Gang;Zheng Manyin

机构地区：[1]澳门科技大学可持续发展研究所,中国澳门 [2]珠海科技学院 [3]江西财经大学经济与社会发展研究院 [4]广东工业大学数学与统计学院

出　　处：《城市观察》2025年第1期4-17,159,共15页Urban Insight

基　　金：国家自然科学基金项目“长江中游城市群多维经济网络耦合关联的时空演化与经济效应研究”(42461027);珠海市哲学社会科学规划课题“珠海‘4+3’战略产业技术现况分析与发展路径研究——基于粤港澳大湾区产业技术竞争与互补网络视角”(2023GJ083);广东省大学生创新创业训练计划项目“广东省人才流动网络格局及演化机理——基于高校毕业生就业去向数据”(S202210580073)研究成果。

摘　　要：“流空间”作为城市群跨界融合发展的重要作用机制,与行政边界所构筑的空间机制一起,形塑城市和区域的发展。基于流空间理论,分析区域不同网络结构有助于更加全面地认识区域空间结构的演变,检视发展战略的推进情况。本研究构建2015年、2020年粤港澳大湾区经济流网络、科技流网络以及信息流网络,深入分析了粤港澳大湾区流空间网络结构演化特征与影响因素,得出如下研究结论:(1)粤港澳大湾区多维流空间网络均呈现出以广州、深圳、香港地区为核心的节点结构特征,佛山、珠海、东莞的网络中心性逐渐增强;(2)粤港澳大湾区多维流空间网络逐渐由“Λ”格局转变为“△”形空间格局;(3)网络相关关系呈现出“经济—科技>科技—信息>经济—信息”的排列特征;(4)QAP回归结果显示,行政关系、科教水平、交通可达性对多维网络的影响均较大且影响力在提升,是导致粤港澳大湾区多维网络结构产生共性的因素,而经济发展、产业结构的影响力有所下降,是导致粤港澳大湾区多重网络结构产生差异的因素。Flow space functions as a pivotal mechanism for cross-boundary integration and development within urban agglomerations,complementing the spatial mechanisms established by administrative boundaries to shape urban and regional development.By leveraging the theory of flow space,this study examines the diverse network structures within the Guangdong-Hong Kong-Macao Greater Bay Area to provide a comprehensive understanding of the evolution of regional spatial structures and to evaluate the implementation of development strategies.Specifically,the study constructs and analyzes the economic,technological,and information flow networks for the years 2015 and 2020,identifying the evolutionary characteristics and influencing factors of the flow space network structure in the Greater Bay Area.The findings reveal that(1)The multidimensional flow space networks of the GBA all exhibit a core node structure centered around Guangzhou,Shenzhen,and Hong Kong region,with the network centrality of Foshan,Zhuhai,and Dongguan gradually increasing;(2)The multidimensional flow space networks of the GBA have gradually shifted from a“Λ”pattern to a“△”spatial pattern;(3)The network correlation exhibits a hierarchy of economy-technology>technology-information>economy-information;(4)The results of the QAP regression indicate that administrative relations,the level of science and education,and the transportation accessibility have significant and increasing impacts on the multidimensional networks,contributing to the commonalities in the network structures of the GBA.Conversely,the influences of economic development and the industrial system have decreased,leading to differences in the network structures.

关 键 词：流空间 多重网络结构 城市网络 信息流网络 粤港澳大湾区 

分 类 号：F129.9[经济管理—世界经济]