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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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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. |
format | Online Article Text |
id | pubmed-10238778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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