Did the COVID-19 pandemic disturb intra-EU trade in agrifood products? Evidence from a counterfactual forecasting approach

In this study, we attempt to infer the effect of the COVID-19 pandemic on the intra–European Union (EU) agrifood trade from out-of-sample forecasts. We compare the actual level of trade during the COVID-19 period with counterfactual values derived from univariate forecasting models [regARIMA (Linear regression with autoregressive integrated moving average errors) and Holt-Winters methods]. We analyse agrifood imports and exports of specific EU countries and the EU-27 aggregate on the basis of monthly data for the period from January 2010 to February 2022. The findings reveal a significant decrease in trade activity in the first year of the pandemic that was negatively correlated to COVID-19 restrictions applied by EU countries. Surprisingly, COVID-19 restrictions do not significantly explain the diversified agrifood trade response among EU countries during the pandemic.

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Publication Details

Journal
Agricultural Economics (Zemědělská ekonomika)
Published
2024-11-29
DOI
https://doi.org/10.17221/253/2024-agricecon
Citations
1
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
0.83
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article

Did the COVID-19 pandemic disturb intra-EU trade in agrifood products? Evidence from a counterfactual forecasting approach

Mariusz Hamulczuk, Grzegorz Szafrański, Karolina Pawlak, Daniel A. Sumner
1 citations
Agricultural Economics (Zemědělská ekonomika)
Global trade and economics
0.83
article

Did the COVID-19 pandemic disturb intra-EU trade in agrifood products? Evidence from a counterfactual forecasting approach

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

Abstract

In this study, we attempt to infer the effect of the COVID-19 pandemic on the intra–European Union (EU) agrifood trade from out-of-sample forecasts. We compare the actual level of trade during the COVID-19 period with counterfactual values derived from univariate forecasting models [regARIMA (Linear regression with autoregressive integrated moving average errors) and Holt-Winters methods]. We analyse agrifood imports and exports of specific EU countries and the EU-27 aggregate on the basis of monthly data for the period from January 2010 to February 2022. The findings reveal a significant decrease in trade activity in the first year of the pandemic that was negatively correlated to COVID-19 restrictions applied by EU countries. Surprisingly, COVID-19 restrictions do not significantly explain the diversified agrifood trade response among EU countries during the pandemic.

Agricultural Economics (Zemědělská ekonomika)Vol. 70(11)
University of International Business and Economics (CN)
Openalex Percentile: Top 20%
Global trade and economics
0.83
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