Understanding the Circulation Network of Agro-products in China Based on the Freight Big Data  
Author Yin-Jie Ma


Co-Author(s) Zhi-Qiang Jiang; Yue-Hua Dai; Peng-Fei Dai; Li Wang; Wei-Xing Zhou


Abstract The circulation process of agro-products plays a pivotal role in ensuring food security. However, the factors driving the agro-products circulation are still lacking of investigation. Here, we build three circulation networks of grains, vegetables, and fruits between cities in China based on 7,913,054 online freight orders and explore how the sectors of production, transportation, sales, and consumption affect the formation of circulation networks. By integrating four centrality measures into one comprehensive indicator, we quantify the importance of cities in circulation networks and reveal the hierarchical pattern of cities, which can be explained by the city attributes, such as economic level, natural resources, and so on. Based on the exponential random graph model (ERGM), it is further found that the interaction effects of sectors, including the agricultural productivity gaps, transportation disparities, relative wholesale competitiveness, and information technology gaps, facilitate the formation of links in the circulation network of agro-products. Our study not only deepens our understanding of the circulation networks of agroproducts at the city level, but also provides the guidance of guaranteeing food security and sustainability from the perspective of big data.


Keywords circulation network, city network, agro-products, exponential random graph model
    Article #:  DSBFI23-79
Proceedings of 2nd ISSAT International Conference on Data Science in Business, Finance and Industry
January 8-10, 2023 - Da Nang, Vietnam