Dynamic structural resilience of international staple food trade networks

2025-03-23

AI Summary

Ensuring global food security requires assessing and enhancing the structural resilience of international staple grain trade networks (maize, rice, soybean, wheat). Method: Using bilateral trade data from 1986–2022, we construct time-series networks for each crop and propose a novel dual-dimension resilience metric integrating information entropy (efficiency) and redundancy. We conduct edge-removal robustness experiments and dynamic evolutionary analysis. Contribution/Results: We find pronounced divergence in resilience trajectories: rice and soybean networks are fragile and stagnant, whereas maize and wheat networks exhibit robust improvement. Greater partner and flow diversity—rather than trade concentration—enhances resilience. Geographic proximity and a few major exporters exert asymmetric leverage on network resilience. We identify multiple critical high-resilience structural configurations, offering quantifiable, network-science–informed foundations for targeted trade policy interventions.

Technology Category

• Data Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community
• Search and Optimization: Algorithm Configuration
• Multiagent Systems: Agent-Based Simulation and Emergent Behavior

Application Category

• Social Networks and Social Media: Social media analysis through the lenses of networks
• Responsible Web: Measurement, analysis, and circumvention of Web censorship
• Security and Privacy: Large-scale security measurements

Abstract

It is important to maintain the resilient international food trade network for food security. We have constructed the international trade networks of maize, rice, soybean, and wheat based on bilateral flows data between economies. Drawing on information theory, we have measured their dynamic resilience based on efficiency and redundancy during 1986 to 2022. We have also investigated the impact of economies and relationships on their resilience. Overall, we argue that rice and soybean trade networks deserve more attention while resilience in maize and wheat shows a steady upward trend. Meanwhile, our findings emphasize the importance of diversity of trade flows and partners for enhancing resilience. Currently, for example, excessively high monopolization of soybean trade may not be beneficial for its resilience. Also, we have found that major exporters and relationships between geographically bordering economies have greater impact on the resilience. Moreover, we have confirmed the existence of different network structures with the optimal resilience as relationships are removed cumulatively, which may be an informative guide for the international food trade.

Problem

• Assessing resilience of staple food trade networks using efficiency and redundancy
• Evaluating impact of economies and trade relationships on network resilience
• Identifying optimal network structures for enhancing international food trade resilience

Innovation

• Used bilateral flows data for trade networks
• Applied information theory for resilience metrics
• Analyzed impact of trade partners diversity