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基于主成分分析法的西南、西北地区物流综合评价研究
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Abstract:
以我国西南、西北地区的10个省级行政单位为样本,构建了物流综合评价的指标体系,使用SPSS.20软件对这10个省市的指标数据进行主成分分析,通过降维找出2个主成分,分别代表了物流基础设施和物流服务水平。在此基础上,通过综合得分并进行排序,得出了各省市物流发展水平的结论,为我国西南、西北地区的物流发展提供了有益的参考。
Taking 10 provincial-level administrative units in southwest and northwest China as samples, the index system of comprehensive evaluation of logistics was constructed, and the principal component analysis of the index data of these 10 provinces and cities was carried out by SPSS.20 software, and two principal components were found through dimensionality reduction, representing the logistics infrastructure and logistics service level respectively. On this basis, through the comprehensive score and ranking, the conclusion of the logistics development level of each province and city is obtained, which provides a useful reference for the logistics development of southwest and northwest China.
[1] | 李楠. 城市物流效率分析自适应DBN算法研究[J]. 计算机工程与应用, 2017, 53(12): 9-15. |
[2] | 杨娅娅, 严永戈, 崔东浩. 基于主成分分析法的“一带一路”沿线18省市物流业发展水平评价[J]. 物流工程与管理, 2019, 41(8): 16-17, 4. |
[3] | 程露露. 主成分分析法下对广东省城市物流竞争力的分析[J]. 物流科技, 2018, 41(6): 109-111. |
[4] | 李尚儒. 基于主成分分析法的中国东部地区物流综合评价研究[J]. 铁路采购与物流, 2022, 17(3): 50-52. |
[5] | 平先秉. 基于主成分分析的湖南省农村物流发展综合评价[J]. 物流科技, 2015, 38(7): 57-61.
https://doi.org/10.13714/j.cnki.1002-3100.2015.07.016 |