摘要
文章设计构建了评价物流发展水平的指标体系,运用因子分析法、熵权法、灰色关联分析法、Kendall协调系数检验法以及系统聚类分析法,借助于SPSS25.0软件对2016—2018年山东省16个城市的物流发展水平进行综合评价和分析。研究结果表明:青岛的物流发展水平连续3年最高,潍坊、临沂、济宁、济南、烟台和淄博等城市物流发展处于中等水平,枣庄等9个城市的物流发展水平较低。通过分析发现山东省的物流发展水平地区差异比较明显,地区平衡性有待提高,最后结合该地区物流发展的基本状况,提出了相应的建议。
This paper designed and constructed an index system to evaluate the level of logistics development.It used factor analysis method,entropy weight method,gray correlation analysis method,Kendall coordination coefficient test method and system cluster analysis method to comprehensively evaluate and analyze the level of logistics development of 16 cities in Shandong province from 2016 to 2018 with the help of SPSS25.0 software.The results show that the logistics development level of Qingdao is the highest for three consecutive years,the logistics development level of Weifang,Linyi,Jining,Jinan,Yantai and Zibo is in the middle level,and the logistics development level of Zaozhuang and other 9 cities is low.Through the analysis,it is found that the regional difference of logistics development level in Shandong province is quite obvious,and the regional balance needs to be improved.Finally,based on the basic situation of logistics development in this region,the corresponding suggestions are put forward.
作者
徐超毅
徐宏进
齐萌
XU Chao-yi;XU Hong-jin;QI Meng(School of Economics and Management,Anhui University of Science&Technology,Huainan 232001,China)
出处
《南阳理工学院学报》
2021年第4期1-9,共9页
Journal of Nanyang Institute of Technology
基金
国家自然科学基金面上项目(71473001)。
关键词
因子分析
熵值法
灰色关联
系统聚类
物流发展水平
factor analysis
entropy value method
grey correlation
system clustering
logistics development level
