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基于灰色关联度的贵州省物流需求影响因素分析 被引量:4

Analysis of Influencing Factors of Logistics Demand in Guizhou Province Based on Grey Correlation Degree under the Background of Big Data
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摘要 首先,结合数据从理论上分析了贵州省经济发展、物流发展现状及其存在的问题,客观全面地反映了贵州省物流的需求。其次,通过构建灰色关联模型,从物流资源因素、物流需求因素两个角度来分析贵州省物流业发展需求的影响因素。最后,总结得出贵州省应在物流方面,特别是物流基础配套设施方面要加大投资比例,多引进高端的物流配套设施及物流专门人才,从而更好地满足贵州省物流的需求。 This paper theoretically analyzes the economic development, logistics development status, and existing problems of Guizhou Province, and objectively and comprehensively reflects the logistics demand of Guizhou Province. Secondly, through the construction of the grey correlation model, this paper analyzes the influencing factors of logistics industry development demand in Guizhou Province from the perspective of logistics resource factors and logistics demand factors. Finally, it concludes that Guizhou Province should increase the proportion of investment in logistics, especially in logistics infrastructure, and introduce more high-end logistics facilities and logistics professionals, to better meet the logistics needs of Guizhou Province.
作者 马艳玲 唐毅 马菲菲 郑绍珩 MA Yan-Ling;TANG Yi;MA Fei-fei;ZHENG Shao-heng(School of Management(Business School),Zunyi Normal College,563006,Zunyi,Guizhou,China;School of Historical Culture and Tourism Management,Zunyi Normal College,563006,Zunyi,Guizhou,China;Zunyi Public Security and Traffic Administration Bureau,563100,Zunyi,Guizhou,China)
出处 《特区经济》 2021年第6期60-62,共3页 Special Zone Economy
基金 贵州省教育厅人文社科项目“贵州省精准脱贫与乡村振兴耦合机制及政策协同研究”(编号:2019qn028)。
关键词 贵州省 影响因素 物流基础配套设施 灰色关联度分析 Guizhou Province influencing factors logistics infrastructure Grey Relational Analysis
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