摘要
运用熵值法、灰色关联法对中国2005—2019年的物流发展与农业产业化指标下的数据进行计算,得出物流指标对农业产业化的发展有促进作用,但是贡献作用的大小存在差异。结合研究结果,提出可以通过提高物流效率、增加物流需求、增加物流固定投资等来促进农业产业化发展。
The entropy method and grey correlation method are used to calculate the data of logistics development and agricultural industrialization in China from 2005 to 2019.It is concluded that logistics indicators have a promoting effect on the development of agricultural industrialization,but the contribution is different.Combined with the research results,it is proposed that the development of agricultural industrialization can be promoted by improving logistics efficiency,increasing logistics demand and increasing fixed investment in logistics.
作者
吕微
巩玲俐
LYU Wei;GONG Ling-li(School of Economics and Management,North University of China,Taiyuan 030051,China)
出处
《湖北农业科学》
2022年第2期5-9,共5页
Hubei Agricultural Sciences
基金
山西省科技厅软科学课题(2018041008-4)。
关键词
物流发展
农业产业化
熵值法
灰色关联度
logistics development
agricultural industrialization
entropy value method
grey correlation degree
作者简介
吕微(1981-),女,山东莱阳人,副教授,博士,主要从事服务管理研究,(电话)13513515775(电子信箱)87739651@qq.com;通信作者:巩玲俐(1994-),女,山西省晋中人,在读硕士研究生,研究方向为服务创新,(电话)17835411055(电子信箱)792834364@qq.com。
