This paper employs a combined approach of the SBM-DEA model addressing undesirable outputs and window analysis to calculate the efficiency of China's provincial circulation industries from 2006 to 2022.Using the Dagum Gini coefficient and Kernel density estimation,it analyzes the spatial disparities and dynamic evolution of circulation industry efficiency within the sample period.Further,incorporating a spatial weight matrix,it explores the spatial agglomeration characteristics through global and local Moran's indices.The study finds that while the efficiency of China's circulation industry has exhibited a slowly fluctuating growth trend in recent years,the overall efficiency level remains low with significant regional disparities.Efficiency in the eastern regions surpasses that in the central and western regions,with inter-regional differences being a major source of these disparities.During the sample period,the efficiency of China's circulation industry typically shows a"bimodal"pattern in most years,with both the main peak and side peak shifting rightward,indicating high heterogeneity in regional distribution.The efficiency of China's circulation industry demonstrates strong positive spatial autocorrelation,predominantly clustering in high-high(H-H)and low-low(L-L)provinces,indicating clear spatial agglomeration.Therefore,it is recommended to fully leverage regional comparative advantages,strengthen inter-regional collaboration under various policy guidelines,and promote high-quality development of China's circulation industry.
关键词
流通产业效率/Dagum基尼系数/核密度估计/莫兰指数
Key words
Circulation Industry Efficiency/Dagum Gini Coefficient/Kernel Density Estimation/Moran's Index
维普
万方数据