Direct and Indirect Effects of the <scp>COVID</scp> ‐19 Pandemic on <scp>EU</scp> Agri‐Food Trade

ABSTRACT Introducing and lifting COVID‐19 restrictions caused significant disruptions throughout the world economy, including in international trade. This study employs a panel gravity model to examine the impact of the pandemic on the agri‐food trade of EU countries. Specifically, we estimate the direct effects of the intensity of lockdown‐type policies on bilateral trade across country, product, and time dimensions, and the indirect effects of those policies as they work through domestic market impacts. We also decompose the indirect effects of COVID‐19 between the domestic demand side and supply side impacts. We provide insights into the sources of pandemic disruptions by comparing a ‘no‐COVID’ counterfactual scenario from March 2020 to February 2022 to the COVID‐19 reality. Our data analysis reveals a loss of 162 billion EUR in agri‐food trade due to direct and indirect effects of COVID‐19, equivalent to 11.3% of imports over the period. Approximately half of this total is comprised of intra‐EU bilateral trade. The COVID‐19 effects were proportionally greatest in the trade of fats and oils, and animal‐origin products, while vegetable‐origin and processed food products were affected only about half as much. Reduced intra‐industry demand was a dominant source of indirect effects in the trade of non‐processed food. In turn, the weakening of consumer demand was the main factor behind trade losses in processed food imports. The proportional trade impacts differ greatly across EU countries.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural Economics
Published
2025-12-05
DOI
https://doi.org/10.1111/1477-9552.70015
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Direct and Indirect Effects of the COVID ‐19 Pandemic on EU Agri‐Food Trade

Mariusz Hamulczuk, Grzegorz Szafrański, Karolina Pawlak, Daniel A. Sumner
Journal of Agricultural Economics
COVID-19 Pandemic Impacts
article

Direct and Indirect Effects of the COVID ‐19 Pandemic on EU Agri‐Food Trade

Mariusz Hamulczuk, Grzegorz Szafrański, Karolina Pawlak, Daniel A. Sumner
article en

Abstract

ABSTRACT Introducing and lifting COVID‐19 restrictions caused significant disruptions throughout the world economy, including in international trade. This study employs a panel gravity model to examine the impact of the pandemic on the agri‐food trade of EU countries. Specifically, we estimate the direct effects of the intensity of lockdown‐type policies on bilateral trade across country, product, and time dimensions, and the indirect effects of those policies as they work through domestic market impacts. We also decompose the indirect effects of COVID‐19 between the domestic demand side and supply side impacts. We provide insights into the sources of pandemic disruptions by comparing a ‘no‐COVID’ counterfactual scenario from March 2020 to February 2022 to the COVID‐19 reality. Our data analysis reveals a loss of 162 billion EUR in agri‐food trade due to direct and indirect effects of COVID‐19, equivalent to 11.3% of imports over the period. Approximately half of this total is comprised of intra‐EU bilateral trade. The COVID‐19 effects were proportionally greatest in the trade of fats and oils, and animal‐origin products, while vegetable‐origin and processed food products were affected only about half as much. Reduced intra‐industry demand was a dominant source of indirect effects in the trade of non‐processed food. In turn, the weakening of consumer demand was the main factor behind trade losses in processed food imports. The proportional trade impacts differ greatly across EU countries.

Journal of Agricultural EconomicsVol. 77(1)
Poznań University of Economics and Business (PL), Economic Policy Institute (US), Warsaw University of Life Sciences (PL), University of Łódź (PL), University of Humanities and Economics in Lodz (PL), University of Life Sciences in Poznań (PL), University of California, Davis (US)
Szkola Glówna Gospodarstwa Wiejskiego w Warszawie
Openalex Percentile: Top 54%
COVID-19 Pandemic Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.