摘要
基于粤港澳大湾区11个城市间经济联系数据,运用城市中心性指数模型和修正的引力模型,对粤港澳大湾区城市群的多中心网络化空间结构进行实证分析,并借助社会网络分析(SNA)探索空间格局的演化特征。结果表明:粤港澳大湾区城市群已初步形成多中心、网络化的空间发展格局,其中“穗港深”为核心城市,“佛莞”为次核心城市,湾区内部城市经济发展的不平衡问题突出;粤港澳大湾区的多中心网络化布局经历了由广州单极放射向广深港多极组团网状发展的演变过程,呈现“多核、多轴、多团体”的空间特征,但虹吸效应明显;粤港澳大湾区城市群可划分为“4+3+4”的凝聚子群,有望形成大湾区新的经济增长团体。
Based on the economic connection data of 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area,this paper uses the urban centrality index model and the modified gravity model to empirically analyze the multi-center networked spatial structure of the urban agglomeration in the Guangdong-Hong Kong-Macao Greater Bay Area,and explores the evolution characteristics of the spatial pattern of the Greater Bay Area with the help of Social Network Analysis(SNA).The results show that the urban agglomeration of Guangdong-Hong Kong-Macao Greater Bay Area has preliminarily formed a multi-center and networked spatial development pattern,among which"Guangzhou-Hong Kong-Shenzhen"is the core city,"Foshan-Dongguan"is the sub-core city,and the imbalance of urban economic development in the bay area is prominent.At the same time,the multi-center network layout of Guangdong-Hong Kong-Macao Greater Bay Area has undergone the evolution from the unipolar radiation of Guangzhou to the multi-pole cluster network of Guangzhou-Shenzhen-Hong Kong,presenting the spatial characteristics of"multi-core,multi-axis and multi-group",but with obvious siphon effect.In addition,the Guangdong-Hong Kong-Macao Greater Bay Area city cluster can be divided into"4+3+4"condensed subgroup,which is expected to form a new economic growth group in the Greater Bay Area.
作者
谢永琴
武小英
沈蕾
Xie Yongqin;Wu Xiaoying;Shen Lei(College of Economics and Management,Beijing University of Technology,Beijing 100124,China)
出处
《河北经贸大学学报》
CSSCI
北大核心
2021年第5期92-100,共9页
Journal of Hebei University of Economics and Business
基金
国家自然科学基金项目“基于多源异构数据的产业内与跨产业的研发合作研究”(71774009)。
关键词
粤港澳大湾区
多中心网络化
引力模型
社会网络分析
空间结构
Guangdong-Hong Kong-Macao Greater Bay Area
multicenter network
gravity model
Social Network Analysis
space structure