A bipartite network analysis of international trade volatility

This study examines the unprecedented global trade disruptions caused by the COVID-19 pandemic and their propagation through international supply chains. By analyzing monthly data for 75 countries across 1260 product categories, we find that declining trade disruptions are more concentrated than surge disruptions, indicating a broader impact of negative shocks on global trade. Our findings also suggest that disruptions in export flows tend to have a more significant effect than imports and that trade disruptions within a given commodity are more likely to spread to other countries trading in that same commodity rather than to other commodities traded by the same country. These insights offer lessons for firms and policymakers seeking to mitigate the effects of future exogenous shocks on global markets and supply chains.

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Publication Details

Journal
Applied Network Science
Published
2024-12-04
DOI
https://doi.org/10.1007/s41109-024-00684-6
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
0.00
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article

A bipartite network analysis of international trade volatility

Dayton M. Lambert, Marten Brienen, Lixia H. Lambert, John Schoeneman
Applied Network Science
Economic and Technological Innovation
article

A bipartite network analysis of international trade volatility

Dayton M. Lambert, Marten Brienen, Lixia H. Lambert, John Schoeneman
article en

Abstract

This study examines the unprecedented global trade disruptions caused by the COVID-19 pandemic and their propagation through international supply chains. By analyzing monthly data for 75 countries across 1260 product categories, we find that declining trade disruptions are more concentrated than surge disruptions, indicating a broader impact of negative shocks on global trade. Our findings also suggest that disruptions in export flows tend to have a more significant effect than imports and that trade disruptions within a given commodity are more likely to spread to other countries trading in that same commodity rather than to other commodities traded by the same country. These insights offer lessons for firms and policymakers seeking to mitigate the effects of future exogenous shocks on global markets and supply chains.

Applied Network ScienceVol. 9(1)
Oklahoma State University (US)
Partnerships for the goals
Openalex Percentile: Top 73%
Economic and Technological Innovation
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A bipartite network analysis of international trade volatility — Dayton M. Lambert, Marten Brienen, et al. · Applied Network Science (2024) | TGRS Research Map | TGRS