新疆区域物流空间特征及发展对策——基于熵值法和K-Means聚类分析框架

Spatial Characteristics and Development Countermeasures of Regional Logistics in Xinjiang——Based on Entropy Method and K-Means Clustering Analysis Framework

物流产业空间集聚规模和形态是地方政府制定物流规划的现实依据。本文运用熵值法和K-Means聚类分析法,从社会经济发展、生产消费、交通运输3个方面测度2020年新疆物流业发展水平,分析新疆区域物流发展空间特征。结果表明:新疆各地州市物流业发展水平差异较大,比较开放的物流节点城市的物流业发展水平更高、发展速度更快。今后应从物流运行体系、物流服务水平、物流支撑能力和物流专业领域突破等方面进一步推动新疆物流业高质量发展。

The scale and form of spatial agglomeration of logistics industry are the objective conditions and basis for local logistics planning and policy-making. By using the method of entropy and cluster analysis, this paper evaluates the spatial characteristics of logistics development level in 2021 from three aspects of social economic development, production and consumption,and transportation, and obtains the ranking and classification of logistics development level in all regions of Xinjiang. Through the analysis, it is found that the development level of each prefecture(city) in Xinjiang is quite different, and the logistics industry of the more open logistics node cities is higher and faster. On the basis of the analysis results, the paper puts forward some countermeasures and suggestions from the aspects of Logistics Operation System, logistics service level, logistics supporting capacity and breakthrough in logistics specialty field.