Please use this identifier to cite or link to this item:
Title: The COVID-19 pandemic and European trade patterns: A sectoral analysis
Authors: Caporale, GM
Sova, AD
Sova, R
Keywords: Covid-19 pandemic;trade patterns;sectoral analysis;product analysis;stringency;policy responses;uncertainty;Europe;dynamic panel models;GMM estimator
Issue Date: 2-Feb-2024
Publisher: Wiley
Citation: Caporale, G.M., Sova, A.D. and Sova, R. (2024) 'The COVID-19 pandemic and European trade patterns: A sectoral analysis', International Journal of Finance and Economics, 0 (ahead of print), pp. 1 - 21. doi: 10.1002/ijfe.2943.
Series/Report no.: CESifo Working Paper Series;Number 10115
Abstract: Copyright © 2024 The Authors. This article examines how the COVID-19 pandemic affected European trade patterns. Specifically, dynamic panel data models are estimated over the period 2019M1–2021M12 to assess the effects on exports and imports of various sectors and products (selected on the basis of their trading volume or strategic importance) of the restrictions and of other policy measures adopted by national governments during the crisis. The results suggest that the impact of the COVID-19 pandemic was heterogeneous across sectors and product types, both the initial drop and the subsequent rebound being different depending on sectoral characteristics and the degree of resilience. In particular, trade flows of durable products were more significantly affected by the pandemic compared to those of non-durable ones.
Description: Data availability statement: The data that support the findings of this study are available from the corresponding author upon reasonable request.
JEL Classification: C25; E61; F13; F15.
ISSN: 1076-9307
Other Identifiers: ORCID iD: Guglielmo Maria Caporale
ORCID iD: Anamaria Diana Sova
Appears in Collections:Dept of Economics and Finance Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2024 The Authors. International Journal of Finance & Economics published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.1.59 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons