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A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate

We examine how the Covid-19 pandemic led to the propagation of export disruptions on a state-by-state basis using a social network analysis model. We measure the impact of import disruptions, Covid-related hospitalizations, subsequent policy responses, and structural network effects on economic outc...

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Detalles Bibliográficos
Autores principales: Brienen, Marten, Lambert, Lixia H., Lambert, Dayton M., Schoeneman, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238778/
http://dx.doi.org/10.1007/s40812-023-00271-3
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author Brienen, Marten
Lambert, Lixia H.
Lambert, Dayton M.
Schoeneman, John
author_facet Brienen, Marten
Lambert, Lixia H.
Lambert, Dayton M.
Schoeneman, John
author_sort Brienen, Marten
collection PubMed
description We examine how the Covid-19 pandemic led to the propagation of export disruptions on a state-by-state basis using a social network analysis model. We measure the impact of import disruptions, Covid-related hospitalizations, subsequent policy responses, and structural network effects on economic outcomes. In addition to examining contemporaneous effects, we include lagged policy response variables to determine their effect on disruption recovery trends. Findings suggest that disruptions cluster along shared industry connections. The results are consistent with previous work that shows that non-pharmaceutical policy interventions had limited contemporaneous and medium-term effects on trade flows. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40812-023-00271-3.
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spelling pubmed-102387782023-06-06 A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate Brienen, Marten Lambert, Lixia H. Lambert, Dayton M. Schoeneman, John J. Ind. Bus. Econ. Article We examine how the Covid-19 pandemic led to the propagation of export disruptions on a state-by-state basis using a social network analysis model. We measure the impact of import disruptions, Covid-related hospitalizations, subsequent policy responses, and structural network effects on economic outcomes. In addition to examining contemporaneous effects, we include lagged policy response variables to determine their effect on disruption recovery trends. Findings suggest that disruptions cluster along shared industry connections. The results are consistent with previous work that shows that non-pharmaceutical policy interventions had limited contemporaneous and medium-term effects on trade flows. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40812-023-00271-3. Springer International Publishing 2023-06-03 /pmc/articles/PMC10238778/ http://dx.doi.org/10.1007/s40812-023-00271-3 Text en © The Author(s) under exclusive licence to Associazione Amici di Economia e Politica Industriale 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Brienen, Marten
Lambert, Lixia H.
Lambert, Dayton M.
Schoeneman, John
A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate
title A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate
title_full A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate
title_fullStr A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate
title_full_unstemmed A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate
title_short A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate
title_sort social network analysis approach to estimate export disruption spread in the us during the covid-19 pandemic: how policy response and industry ties relate
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238778/
http://dx.doi.org/10.1007/s40812-023-00271-3
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