摘要
现代农产品物流发展模式充分体现了大数据的多源、异构、海量、低密度价值和高时效性要求等特征。通过分析贵州省当前特色农产品物流模式及其存在问题,创新大数据情境下优化发展其物流的冷链模式、数据监督模式和虚拟无水港模式等,并提出这些大数据农产品物流模式的若干发展建议。研究成果对促进贵州省农业产业结构调整、转变经济发展方式和助推"黔货出山"等具有较好的实践意义。
The modern logistics development model of agricultural products fully embodies the characteristics of big data, such as diversity of sources, heterogeneity, mass quantity, low density value and high timeliness requirements. This paper analyzes the characteristics and problems of the current logistics model of agricultural products in Guizhou Province, cold chain model under the context of big data innovation to develop and optimize the logistics, data supervision model and virtual dry port model, and puts forward some suggestions for the development of these big data logistic model of of agricultural products. The research results are of practical significance in improving the structure adjustment of agricultural industry in Guizhou province, changing the mode of economic development and boosting the promotion of "goods made in Guizhou".
作者
宋山梅
任晓慧
李桥兴
SONG Shan-mei;REN Xiao-hui;LI Qiao-xing
出处
《广西民族大学学报(哲学社会科学版)》
CSSCI
北大核心
2018年第3期154-160,共7页
JOURNAL OF GUANGXI MINZU UNIVERSITY:PHILOSOPHY AND SOCIAL SCIENCE EDITION
基金
贵州大学文科重大科研项目"基于大数据视域的不确定系统理论比较研究及应用"(项目编号:GDZT201604)
贵州大学文科重大科研项目"基于大数据视域的不确定系统理论比较研究及应用"(项目编号:GDZT201604)
关键词
特色农产品
物流模式
大数据
featured agricultural products
logistic mode
big data