摘要
将肉类、水产品、速冻面食、水果、蔬菜、奶类、药品等需要冷藏运输的产品产出总量作为冷链物流运输总量的影响因子,选择2005～2009年的江苏省城镇居民冷链运输产品消费数据为样本,建立冷链物流需求量灰色预测模型GM(1,1),运用DPS7.05软件进行检验,对江苏省城镇居民"十二五"期间的冷链物流需求数量进行了预测。结果表明,2010～2015年,江苏省城镇居民冷链物流需求量分别为1 151.589 1、1 185.136 6、1 219.661 3、1 255.191 8、1 291.757 3、1 329.388 1 t;2005～2010年江苏省城镇居民冷链物流每年的需求以3.9%的速度增长;2011～2015期间的增速有所回落,以2.9%的速度缓慢增长。
This paper takes the total yieid of products that need refrigerated transport as the impact factors of transport aggregate of cold chain logistics, such as meat, aquatic products, quick-frozen noodle, fruits, vegetables, dairy, and medicine. Through selecting the consumption data of urban residents on transported products via cold chain in Jiangsu Province from 2005 to 2000 as sample, this paper establishes grey prediction model GM （ 1,1 ） of cold chain logistics demand and uses DPS7.05 software for test, to predict the cold chain logistics demand of urban residents in Jiangsu Province during the Twelfth Five-Year Plan period. The results show that in the period 2010 -2015, the cold chain logistics demand of urban residents in Jiangsu Province is 1 151. 5891 t, 1 185. 136 6 t, 1 219.661 3 t, 1 255.191 8 t, 1 291.757 3 t, 1 329.388 1 t respectively; in the period 2005 -2010, the cold chain logistics demand of urban residents in Jiangsu Province increases at annual growth rate of 3.9% ; in the period 2011 -2015, the growth rate declines to some extent, increasing slowly at rate of 2.9%.
出处
《安徽农业科学》
CAS
北大核心
2011年第36期22699-22701,共3页
Journal of Anhui Agricultural Sciences
基金
国家自然科学基金项目(70872047)
2009年度江苏省教育厅高校哲学社会科学基金项目(09SJB790008)
2009年度淮安市科技支撑计划项目(HAS2009045-1)
淮安市交通局资金资助项目
关键词
冷链物流需求
“十二五”
江苏省
灰色预测模型
Cold chain logistics demand
The Twelfth Five-Year Plan
Jiangsu Province
Grey prediction model
