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基于GM(1,1)模型的河北省冷链物流需求预测 被引量:7

Forecast of Cold Chain Logistics Demand in Hebei Province Based on GM(1,1) Model
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摘要 京津冀一体化不仅促进了河北省经济快速发展,更带动了生鲜产品需求不断上涨。河北省作为京津两地"菜篮子",三大优势产业果品、蔬菜、畜牧总产值占农林牧渔业总产值近70%,冷链物流市场潜力巨大。本文以河北省2011-2018年的冷链物流需求量作为原始数据,应用GM(1,1)模型对2019-2023年河北省冷链物流需求量做出预测,以此为河北省冷链物流发展提供数据参考。 The integration of Beijing-Tianjin-Hebei has not only promoted the rapid economic development of Hebei Province, but has also driven the rising demand for fresh products.As a "vegetable basket" in Beijing and Tianjin, Hebei Province has three major industries with a total output value of fruits,vegetables,animal husbandry, and accounting for nearly 70% of the total output value of agriculture,forestry, animal husbandry, and fishery.In this paper, the demand of cold chain logistics in hebei province from 2011 to 2018 is taken as the original data, and the GM(1,1) model is applied to predict the demand of cold chain logistics in hebei province from 2019 to 2023, so as to provide data reference for the development of cold chain logistics in hebei province.
作者 张雪 ZHANG Xue(Inner Mongolia University of Technology,Hohhot 010051,China)
机构地区 内蒙古工业大学
出处 《价值工程》 2020年第6期124-126,共3页 Value Engineering
关键词 冷链 物流需求 GM(1 1)模型 cold chain logistics demand GM(1,1)model
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