摘要
探索经济空间关联特征演化及其网络效应对于优化粤港澳大湾区经济空间合作格局具有重要的理论意义。该文综合运用修正引力模型、社会网络分析法和OLS回归模型分析粤港澳大湾区经济空间关联特征演变及网络效应,结果表明:1)粤港澳大湾区经济联系强度不断提升,空间上四核驱动,边缘辐射渐趋稳定。经济联系空间势能不断跃升,网络密度和网络关系数均呈波动上升态势,网络等级度在起伏变化中轻微增长,网络效率呈先降后升的“V”形结构。2)点度中心度稳步提升,网络中心性整体不断增强,空间结构由多点集聚逐步演变至两极对峙,接近中心度的空间非均衡性强且变化悬殊,中间中心度大幅跃升,深圳在经济联系网络中的控制力遥遥领先。3)网络密度和网络等级度的提高以及网络效率的降低能有效提升粤港澳大湾区的经济联系强度,而点度中心度、中间中心度和接近中心度均能推动大湾区经济联系的增强。
Exploring the evolution of economic spatial correlation and its network effect has theoretical significance of the economic spatial cooperation pattern in the Guangdong-Hong Kong-Macao Greater Bay Area.In this paper,the modified gravity model,social network analysis,and OLS regression model were used to examine the evolution characteristics regarding the economic spatial network structure and its effect in the Guangdong-Hong Kong-Macao Greater Bay Area.It is found as follows.1)The strength of economic connection in the Guangdong-Hong Kong-Macao Greater Bay Area had been continuously increased,driven by four cores in space and economic radiating at the edge became stable.Additionally,the potential energy of economic connection consistently rose,the network density and network relationships of economic network structure fluctuated,but dynamically increased.The network hierarchy varied but increased overall,the network efficiency showed a"V"shaped structure with an initial decline but an overall increase later.2)The degree centrality of network steadily improved,and the spatial structure gradually transformed from a multi-point agglomeration to a bipolar confrontation.Additionally,the closeness centrality was highly unbalanced and varied greatly,and the betweenness centrality increased significantly.The control force of Shenzhen dominated economic connection role.3)The augment of the network density and hierarchy as well as the decrease of network efficiency can effectively improve the economic connection intensity of the Guangdong-Hong Kong-Macao Greater Bay Area.The degree centrality,betweenness centrality,and closeness centrality are also able to enhance the economic connection strengths in the Greater Bay Area.
作者
刘庆芳
王兆峰
LIU Qing-fang;WANG Zhao-feng(Faculty of Geographical Science,Beijing Normal University,Beijing 100875;College of Tourism,Hunan Normal University,Changsha 410081,China)
出处
《地理与地理信息科学》
CSCD
北大核心
2022年第2期55-62,共8页
Geography and Geo-Information Science
基金
国家自然科学基金项目(42171170、41771162)
教育部人文社科基金青年项目(20YJCZH174)
湖南省国内一流培育学科建设项目(5010002)。
关键词
经济空间关联
网络效应
社会网络分析法
粤港澳大湾区
economic spatial connection
network effect
social network analysis
Guangdong-Hong Kong-Macao Greater Bay Area
