文献类型：期刊文献

英文题名：Structural evolution of international crop trade networks

作者：Zhang, Yin-Ting[1]; Zhou, Wei-Xing[1,2,3]

机构：[1] School of Business, East China University of Science and Technology, Shanghai, China; [2] Research Center for Econophysics, East China University of Science and Technology, Shanghai, China; [3] Department of Mathematics, East China University of Science and Technology, Shanghai, China

年份：2024

外文期刊名：arXiv

收录：EI(收录号：20240341176)

语种：英文

外文关键词：Agri-food - Food chemistry - Food industry - Food security

摘要：Food security is a critical issue closely linked to human being. With the increasing demand for food, international trade has become the main access to supplementing domestic food shortages, which not only alleviates local food shocks, but also exposes economies to global food crises. In this paper, we construct four temporal international crop trade networks (iCTNs) based on trade values of maize, rice, soybean and wheat, and describe the structural evolution of different iCTNs from 1993 to 2018. We find that the size of all the four iCTNs expanded from 1993 to 2018 with more participants and larger trade values. Our results show that the iCTNs not only become tighter according to the increasing in network density and clustering coefficient, but also get more similar. We also find that the iCTNs are not always disassortative, unlike the world cereal trade networks and other international commodity trade networks. The degree assortative coefficients depend on degree directions and crop types. The analysis about assortativity also indicates that economies with high out-degree tend to connect with economies with low in-degree and low out-degree. Additionally, we compare the structure of the four iCTNs to enhance our understanding of the international food trade system. Although the overall evolutionary patterns of different iCTNs are similar, some crops exhibit idiosyncratic trade patterns. It highlights the need to consider different crop networks’ idiosyncratic features while making food policies. Our findings about the dynamics of the iCTNs play an important role in understanding vulnerabilities in the global food system. ? 2024, CC BY.