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ORIGINAL RESEARCH article

Front. Sustain. Food Syst.

Sec. Agricultural and Food Economics

Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1431945

This article is part of the Research Topic Towards Sustainable Development Goal of Zero Hunger: Exploring the Dynamic Relationships between Food Pricing, Agriculture, and Food Security View all 29 articles

Analysis on Evolution of International Agricultural Trade Dependence Network from Perspective of Vulnerability

Provisionally accepted
  • 1 East China University of Science and Technology, Shanghai, Shanghai, China
  • 2 Shandong University of Technology, Zibo, China

The final, formatted version of the article will be published soon.

    The vulnerability of transnational supply of agricultural products has become one of key factors affecting food security at the global scale. This study applies the social network analysis method for systematic exploration of the evolution of the international agricultural trade dependence network (TDN) from the perspective of vulnerability. First, agricultural industries that are highly vulnerable in international trade are identified. Then, a network visualization model is constructed for systematic analysis of the evolution of topological structure of the global TDN of highly vulnerable agricultural products. Finally, a temporal exponential random graph model (TERGM) and its separated formation model and dissolution (persistence) model (STERGM) are established for quantitative assessment of the impact of abrupt changes in the economic and trade environment on the TDN of highly vulnerable agricultural products in the period 2018-2020. The research results show that the highly vulnerable industries in the international agricultural trade are distributed in a wide range, concentrating mainly in meat, animal and vegetable oils, fish and other aquatic products, fruits and nuts, and cereal products, and most of the products in each category is mainly supplied by only a handful of countries. The TDN of highly vulnerable agricultural products exhibits a "polycentric" development trend, that is, shifting from the network structure with a single dominant central node (USA) toward the one with multiple central nodes (USA, Malaysia, Indonesia, Brazil, the Netherlands, etc.). During the period 2018-2020, when bilateral trade frictions intensified and the COVID-19 pandemic raged, the abrupt changes in the economic and trade environment led to significant enhancement in the dependence relations in the international trade of highly vulnerable agricultural products. Such abrupt changes not only induce the trade transfer effect and promote the formation of new trade dependence relations among countries, but also increase the probability of maintaining the existing trade dependence relations. These results can provide practical guidance for preventing and mitigating transnational supply crisis and building a more secure global food guarantee system.

    Keywords: Supply vulnerability, Bilateral trade friction, COVID-19 pandemic, Trade dependence network, Temporal exponential random graph model

    Received: 13 May 2024; Accepted: 14 Feb 2025.

    Copyright: © 2025 Wang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Linchen Zhang, Shandong University of Technology, Zibo, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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