摘要
基于2007-2016年长三角城市群生产性服务业的统计数据,采用空间基尼系数、空间自相关分析方法测度长三角城市群生产性服务业的总体空间集聚度,利用CR6和区位熵方法测度城市群内各城市的集聚水平,并分析了城市群生产性服务业集聚的演变过程。空间基尼系数分析结果表明:2007到2016年科技服务业和金融业的集聚度下降,其他细分行业的集聚度均增加。空间自相关分析结果表明:长三角城市群生产性服务业的空间溢出效应不显著,趋向于形成网络布局模式。长三角城市群内各城市生产性服务业的集聚水平差异明显,各城市形成了不同的优势产业。
Based on the statistical data of the Yangtze river delta from 2007 to 2016, we adopted spatial Gini coefficient and spatial autocorrelation analysis to measure the overall spatial agglomeration of producer services in the Yangtze river delta, and used CR6 and location entropy to measure the agglomeration characteristics of cities. In addition, we analyzed the evolution process of agglomeration of producer services. The results of spatial Gini coefficient showed that the agglomeration level of science and technology service industry and financial industry had decreased, and the agglomeration level of other sub-sectors had increased from 2007 to 2016. The results of spatial autocorrelation analysis showed that the spatial spillover effect of producer services in the Yangtze river delta was not significant, and the network pattern tended to be formed. By 2016, the spatial pattern was formed, taking Shanghai as the core, Nanjing, Hangzhou as regional centers, and Suzhou, Ningbo, Hefei as sub-regional centers. There was a significant difference in the agglomeration level of productive services in cities of the Yangtze river delta, and different competitive industries were formed in the cities.
作者
吴桥
WU Qiao(Zhejiang Wanli University,Ningbo 315100)
出处
《浙江万里学院学报》
2018年第4期13-18,共6页
Journal of Zhejiang Wanli University
基金
宁波市软科学项目(2017A10048)
关键词
生产性服务业
空间集聚
时空演变
长三角
producer services
spatial agglomeration
spatial-temporal evolution
Yangtze river delta
