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机构地区:[1]贵州大学管理学院,贵州 贵阳
出 处:《运筹与模糊学》2023年第6期6931-6937,共7页Operations Research and Fuzziology
摘 要:基于2013~2023年湖南省冷链物流企业数据,运用核密度分析、标准差椭圆等方法对湖南冷链物流企业的时空演化特征进行探讨。研究发现:1) 湖南省冷链物流企业经过高速发展阶段后增加速度逐渐放缓。2) 空间上湖南省冷链物流企业分布不均,冷链企业主要分布在长沙市,“马太效应”明显。3) 湖南省冷链物流企业分布格局呈现“北(偏东)–南(偏西)”,平均中心向西南方向移动,从长沙市南部转移到湘潭市北部。湖南省政府应加强长沙市冷链物流的领导作用,辐射带动其他区域的冷链物流发展,加强冷链企业之间的战略合作,通过技术和人才共享,平衡湖南冷链物流企业分布不均的现象。Based on the data of cold chain logistics enterprises in Hunan Province from 2013 to 2023, the spatial and temporal evolution characteristics of cold chain logistics enterprises in Hunan Province were discussed by using kernel density analysis and standard deviation ellipse. The findings are as follows: 1) The increase rate of cold chain logistics enterprises in Hunan Province gradually slows down after the rapid development stage. 2) The distribution of cold chain logistics enterprises in Hunan Province is uneven spatially, and cold chain enterprises are mainly distrib-uted in Changsha City. 3) The distribution pattern of cold chain logistics enterprises in Hunan Province presents a “north (slightly east) - south (slightly west)”, with the average center moving southwest from the south of Changsha City to the north of Xiangtan City. The Hunan gov-ernment should strengthen the leading role of cold chain logistics in Changsha, promote the development of cold chain logistics in other regions, strengthen the strategic cooperation between cold chain enterprises, and balance the uneven distribution of cold chain logistics enterprises in Hunan through technology and talent sharing.
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