摘要
基于2013—2019年中国31个省(市、自治区)的相关数据,运用熵值法、耦合协调模型和空间自相关等方法,分析了农产品电商和物流的耦合协调关系以及时空格局演变情况。结果表明,中国农产品电商与物流发展水平、耦合协调度都呈稳步上升态势,二者的关联作用逐步增强,2016年进入电商与物流同步发展阶段;中国31个省(市、自治区)的农产品电商与物流耦合协调度的空间集聚反映了整体不平衡仍存在,而且存在明显的东西地区的差异现象,已形成了以四川为中心的东西高低值分界区,以青海、新疆为中心的西部低值聚集区,以河北、山东和江苏为中心的东部高值聚集区;全局Moran’s I指数显示全国农产品电商与物流协调度的集聚现象在减缓,整体耦合协调水平在不断改善。
Based on the relevant data of 31 provinces(cities,autonomous regions)in China from 2013 to 2019,the coupling and coordination relationship between e-commerce and logistics of agricultural products and the evolution of temporal and spatial pattern were analyzed by using the entropy method,coupling and coordination model and spatial autocorrelation.The results show that the development level and coupling coordination degree of e-commerce and logistics of agricultural products in China are rising steadily,and the correlation between them is gradually strengthened.In 2016,e-commerce and logistics entered the synchronous development stage.The spatial agglomeration of the coupling coordination degree of e-commerce and logistics of agricultural products in 31 provinces(cities,autonomous regions)in China reflects that the overall imbalance still exists,and there are obvious differences between east and west regions.It has formed a high-value boundary area between east and west centered on Sichuan,a low-value aggregation area in the west centered on Qinghai and Xinjiang,and a high-value aggregation area in the east centered on Hebei,Shandong and Jiangsu.The global Moran’s I index shows that the agglomeration phenomenon of the coordination degree between e-commerce and logistics of agricultural products in China is slowing down,and the overall coupling coordination level is improving.
作者
陈岫
平海
CHEN Xiu;PING Hai(Guangzhou Huashang College,Guangzhou 511300,China)
出处
《湖北农业科学》
2022年第17期251-256,F0003,共7页
Hubei Agricultural Sciences
基金
广东省创新强校项目(HS2019CXQX04)
广州华商学院重点学科建设项目(2020HSXK05)。
关键词
农产品电商
农产品物流
熵值法
耦合协调度模型
空间自相关
e-commerce of agricultural product
logistics of agricultural product
entropy method
coupling coordination degree model
spatial autocorrelation