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黄河流域生鲜农产品冷链物流需求预测研究

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黄河流域人口众多,生鲜农产品资源也较为丰富.有效地预测地区内生鲜农产品冷链物流需求对满足人民的消费需求、释放人民的消费潜力和大力促进乡村振兴具有一定的现实意义.文章根据黄河流域的地域特点和发展情况,选取地区经济发展水平、物流基础设施建设、人民生活水平3个一级指标构建体系,首先使用GM(1,1)模型对因变量进行预测,再使用PCA-GM(1,1)组合模型进行预测.研究显示,未来7年黄河流域生鲜农产品冷链物流需求量保持较高的增长趋势.因此,要加快构建农业现代化体系、扎实推进冷链物流基础设施建设和有效拓展冷链物流市场需求量.
Research on Cold Chain Logistics Demand Forecast of Fresh Agricultural Products in the Yellow River Basin
The Yellow River basin is densely populated and boasts a relatively abundant resource of fresh agricultural and sideline products.Effectively forecasting the demand for cold chain logistics of fresh agricultural and sideline products within the region holds significant practical implications for meeting the consumption needs of the populace,unleashing their latent consumption potential,and vigorously promoting rural revitalization.Based on the geographical features and development situation of the Yellow River Basin,this paper selects economic development level,logistics infrastructure construction,and people's living standard as three primary indicators to construct an index system.First,the GM(1,1)model is used to forecast the dependent variable,and then the PCA-GM(1,1)composite model is used for forecasting.The results show that the demand for fresh agricultural products cold chain logistics in the Yellow River Basin will main-tain a high growth trend in the next seven years.Based on the model results and the realistic perspective,three sugges-tions are proposed:accelerating the construction of modern agricultural systems,solidly promoting the construction of cold chain logistics infrastructure,and expanding the demand for cold chain logistics.

the Yellow River BasinGM(1.1)modelfresh agricultural productsdemand forecast

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安徽理工大学 经济与管理学院,安徽 淮南 232001

黄河流域 GM(1,1)模型 生鲜农产品 需求预测

2024

淮南师范学院学报
淮南师范学院

淮南师范学院学报

影响因子:0.282
ISSN:1009-9530
年,卷(期):2024.26(6)