Abstract: 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.

Key words: logistics development, agricultural industrialization, entropy value method, grey correlation degree