To further improve the logistics efficiency of the capital cities of the Yangtze River Economic Belt and improve the quality of regional logistics development,the number of employees in the logistics industry,the fiscal expenditure of the logistics industry and the mileage of graded highways are taken as the input indicators.The city's GDP and total import and export of commodities are used as the output indicators.The logistics efficiency of 11 provincial capitals in the Yangtze River Economic Belt from 2016 to 2020 is measured by the DEA-Malmquist index model,and the clustering analysis is combined with the K-means clustering algorithm.Finally,the grey correlation model is used to analyze the factors influencing its logistics efficiency.The results show that the development of logistics efficiency in 11 provincial capitals varies greatly.Technological efficiency is the main factor limiting the total factor productivity of Guiyang and Changsha.The logistics efficiency of provincial capitals is not completely equal to their economic strength.Urban GDP and the number of employees in the logistics industry have a great impact on the efficiency of the logistics industry.Based on the above conclusions,suggestions are put forward to optimize the scale of logistics industry and strengthen technical investment,to promote the high-quality development of logistics in provincial capitals of the Yangtze River Economic Belt.
关键词
长江经济带/物流效率/DEA-Malmquist指数模型/K-means聚类算法/灰色关联度模型
Key words
Yangtze River Economic Belt/logistics efficiency/DEA-Malmquist index model/K-means clustering algorithm/grey correlation model
维普
万方数据