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

Abstract: 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.

Key words: e-commerce of agricultural product, logistics of agricultural product, entropy method, coupling coordination degree model, spatial autocorrelation