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新冠疫情背景下农产品物流需求预测——以兴化市为例 被引量:6

Forecasting of Logistics Demand for Agricultural Products under the Background of COVID-19——A Case Study of Xinghua City
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摘要 为探究新冠疫情对农产品物流需求造成的影响,确保农产品市场供需平衡,实现物流资源的合理配置,选取2004~2018年兴化市相关数据,运用灰色预测模型GM1,1对2019~2025年兴化市的农产品物流需求量进行预测,预测结果表明兴化市农产品物流需求量整体呈上升趋势。结合农产品物流的发展现状,分析新冠疫情对农产品物流需求造成的冲击,并针对此次突发事件农产品物流暴露的问题提出改进建议。 In order to explore the impact of COVID-19 on the demand for agricultural products logistics,ensure the balance between supply and demand of agricultural products market,and realize the reasonable allocation of logistics resources,the relevant data of Xinghua city from 2004 to 2018 were selected,and the grey prediction model GM1,1 was used to forecast the demand for agricultural products logistics in Xinghua city from 2019 to 2025.The prediction results showed that the demand for agricultural products logistics in Xinghua city was on the rise.Combined with the development status of agricultural products logistics,this paper analyzes the impact of COVID-19 on the demand for agricultural products logistics,and puts forward improvement suggestions for the problems exposed by the emergency in agricultural products logistics.
作者 姚冠新 杨妍 徐静 周嘉忱 YAO Guanxin;YANG Yan;XU Jing;ZHOU Jiachen(Yangzhou University,Yangzhou 225000,China;Jiangsu Modem Logistics Research Base of Yangzhou University,Yangzhou 225000,China)
出处 《物流科技》 2021年第9期91-95,共5页 Logistics Sci-Tech
基金 国家自然科学基金项目(71773104) 扬州大学(兴化)乡村振兴研究院科研项目(XH2018204) 扬州大学研究生科研创新计划项目(XKYCX20_017) 中国工程科技发展战略江苏研究院项目(JS2019ZD01-1)。
关键词 新型冠状病毒肺炎 灰色预测模型GM1 1 农产品物流 需求预测 COVID-19 grey prediction model GM1,1 agricultural products logistics demand forecasting
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