Spatiotemporal Evolution Characteristics,Regional Differences and Distribution Dynamic Evolution of Commodity Circulation Development in Yangtze River Delta Urban Agglomeration
Based on the TOPSIS method of entropy weight,this paper calculates the commodity circulation development level index of 27 cities in the Yangtze River Delta urban agglomeration from 2011 to 2021,and explores its regional differences and distribution dynamics by using Dagum Gini coefficient,kernel density estimation,and Moran's Ⅰ.It is found that in terms of time evolution,the development level of commodity circulation in the Yangtze River Delta urban agglomeration shows an overall growth trend from 2011 to 2021,with the characteristics of"Shanghai＞9 cities in Zhejiang＞9 cities in Jiangsu＞8 cities in Anhui".Among the four subsystems,the development level index of business flow is the largest,followed by logistics,information flow,and human resources flow.In terms of spatial distribution,the overall distribution pattern of the development level of commodity circulation in the Yangtze River Delta urban agglomeration has not changed significantly during the inspection period,and the spatial pattern has a trend of shifting to the southeast.Most cities have a"high-high"agglomeration effect and a"low-low"agglomeration effect,and an agglomeration phenomenon.In terms of regional differences,during the inspection period,the overall regional differences in the development level of commodity circulation in the Yangtze River Delta urban agglomeration show an expanding trend,among which interval differences were the main source.In terms of dynamic evolution of distribution,the development level of commodity circulation in the Yangtze River Delta urban agglomeration as a whole has been continuously improved,and the absolute difference has shown an expanding trend.The development level of commodity circulation in the four major regions of the Yangtze River Delta urban agglomeration has been continuously improved,and the absolute difference has shown an expanding trend as a whole,while Shanghai has a shrinking trend,and all have a two-level or multi-polarization trend.
Yangtze River Delta urban agglomerationcommodity circulationMoran's ⅠDagum Gini coefficientkernel density estimation
万方数据
维普
