摘要
基于2009年、2012年、2015年粤港澳大湾区城市群的经济联系数据,运用凝聚子群和QAP等网络分析方法,对城市群空间经济网络结构及其影响因素进行分析。研究结果发现:(1)动态比较来看,城市群空间经济网络的联系程度得到显著增强,广州、香港、深圳、佛山处于空间经济网络中心位置;(2)粤港澳大湾区城市群空间经济网络可划分为四大子群:以香港、深圳为核心的凝聚子群,以珠海、澳门组成的凝聚子群,以广州为中心、佛山为次中心的凝聚子群,以中山等六个城市组成的凝聚子群;(3)城市间的距离、要素扩散与集聚、产业结构、经济全球化等四类因素对经济网络有显著影响。
The paper uses the economic ties data of Guangdong-Hongkong-Macao Greater Bay Area in the years of 2009,2012 and 2015,and employs cohesive subgroups and QAP methods to reveal the spatial economic network structure and influencing factors of urban agglomeration. The results show that( 1) from the perspective of dynamic comparison,the spatial economic network structure of urban agglomeration has improved its connectivity distinctly,and Guangzhou,Hong Kong,Shenzhen and Foshan are located at the central place of the spatial economic network;( 2) the spatial economic network structure of urban agglomeration on Guangdong-Hongkong-Macao Greater Bay Area can be divided into four subgroups: the first is a cohesive subgroup centering on Hong Kong and Shenzhen,the second cohesive subgroup consists of Zhuhai and Macao,the third is made up of Guangzhou and Foshan serving as the center and sub center respectively,and the fourth is composed of Zhongshan and other 5 cities;( 3) the distance between cities,factor diffusion and agglomeration,industrial structure and economic globalization have appreciable impact on the formation of economic network.
出处
《华南师范大学学报（社会科学版）》
CSSCI
北大核心
2018年第4期110-120,191,共11页
Journal of South China Normal University：Social Science Edition
基金
广东省普通高校特色创新类项目“粤港澳经济整合研究”(2016WTSCX040)
关键词
粤港澳大湾区
经济网络
网络分析法
QAP方法
Guangdong-Hongkong-Macao Greater Bay Area
economic network
analytic network process
QAP methods
作者简介
王方方，河南平顶山人，经济学博士，广东财经大学经济学院副教授，国民经济研究中心兼职研究员；;杨焕焕，安徽阜阳人，广东财经大学经济学院硕士研究生。
