Dataset Information

Shock transmission in the International Food Trade Network.

ABSTRACT: Food Security is a long-standing concern worldwide. The expansion of global food markets brings benefits but also risks, such as shock transmission within the global network of trade relations. We focus on this last issue, from an empirical point of view, by analysing the diffusion of trade shocks-defined as relevant drops in exported quantities-during the period 1986-2011, for four major staples (wheat, maize, rice, and soy-beans) both at country level and at global scale. We find that: (i) income per capita of importing countries is relevant in shock propagation; (ii) developing countries tend to absorb most of the negative export variation (i.e., the trade shock), and (iii) global food prices and real (tonnes) flows of commodities are only weakly correlated, meaning that a quantity-based investigation provides additional information with respect to a price-based analysis. This work offers a novel framework, complementary to the price-based literature, for the measurement of the propagation of international food shocks.

SUBMITTER: Distefano T

PROVIDER: S-EPMC6082532 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Shock transmission in the International Food Trade Network.

Distefano Tiziano T Laio Francesco F Ridolfi Luca L Schiavo Stefano S

PloS one 20180808 8

Food Security is a long-standing concern worldwide. The expansion of global food markets brings benefits but also risks, such as shock transmission within the global network of trade relations. We focus on this last issue, from an empirical point of view, by analysing the diffusion of trade shocks-defined as relevant drops in exported quantities-during the period 1986-2011, for four major staples (wheat, maize, rice, and soy-beans) both at country level and at global scale. We find that: (i) inc ...[more]

PMID: 30089103

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Project description:In our study, we introduce indicators that quantify the influence of each country in complex trade scenarios involving the exchange of raw materials, intermediate goods, and final products across multiple countries. We systematically employ an agent-based model to simulate the propagation of failures from one node to the entire network. This approach allows for the assessment of the impact of each country and the identification of patterns of interaction in the multi-step trade network. Unlike conventional analyses of trade networks, which depict straightforward single-step import/export transactions, our approach captures the intricate realities of processes like raw material procurement, production, and sales in numerous countries from a macroscopic perspective. The findings of our analysis of trade data spanning from 1990 to 2022 reveal several key insights. Firstly, sensitivity to changes in trade volume leading to global failures within interconnected networks has intensified over time. The potential of failure propagation across countries has increased over time, as has the interconnectedness of countries in the global trade landscape. Secondly, despite the increased sensitivity to changes in global trade volume, many countries have become less vulnerable to the influence of others within their multi-step trade networks. This trend aligns with deglobalization, which is evidenced by events such as Brexit and the surge in protectionist measures; these changes indicate a shift in the balance of influence within global trade networks. Thirdly, the results of our analysis of the relationship between load changes and global failures from a regional perspective reveal an intriguing phenomenon: despite limited direct trade connectivity, the interaction between the Latin American and Sub-Saharan African regions is considerable. This suggests the existence of hidden connections between intermediary countries, such that one region's actions can alter the load sensitivity of another, impacting them in unforeseen ways. Furthermore, intra-regional interactions are diminishing in East Asia, while Europe is experiencing a gradual increase in interactions. These trends reflect evolving regional influence, the dynamics of geographic proximity, and the results of economic integration efforts. Additionally, even though the observed period was not long enough to confirm a long-term trend, the previous trend direction was affirmed to persist despite a temporary decrease in trading and reduced sensitivity due to the COVID-19 pandemic. Our study highlights the complexity of global trade dynamics and the need to consider multi-step trade networks and their potential cascading effects when analyzing trade patterns and vulnerabilities.

Dataset Information

Shock transmission in the International Food Trade Network.

Publications

Shock transmission in the International Food Trade Network.

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