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Coronavirus disease 2019 and the global economy()
Using daily data on the coronavirus disease 2019 (COVID-19) cases from China and the rest of the world, this paper investigates the corresponding effects on the global economic activity. The empirical results based on a structural vector autoregression model using crude oil prices (COP) and the Balt...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896980/ https://www.ncbi.nlm.nih.gov/pubmed/35280846 http://dx.doi.org/10.1016/j.tranpol.2022.03.003 |
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author | Yilmazkuday, Hakan |
author_facet | Yilmazkuday, Hakan |
author_sort | Yilmazkuday, Hakan |
collection | PubMed |
description | Using daily data on the coronavirus disease 2019 (COVID-19) cases from China and the rest of the world, this paper investigates the corresponding effects on the global economic activity. The empirical results based on a structural vector autoregression model using crude oil prices (COP) and the Baltic Exchange Dry Index (BDI) are consistent with increases in COVID-19 cases acting as negative demand shocks in the global economic activity (reflected as reductions in COP) and negative supply shocks in the global transportation of commodities (reflected as increases in BDI). The historical decomposition results further suggest that the effects of COVID-19 cases on COP and BDI have been mostly observed in the early COVID-19 period. |
format | Online Article Text |
id | pubmed-8896980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88969802022-03-07 Coronavirus disease 2019 and the global economy() Yilmazkuday, Hakan Transp Policy (Oxf) Article Using daily data on the coronavirus disease 2019 (COVID-19) cases from China and the rest of the world, this paper investigates the corresponding effects on the global economic activity. The empirical results based on a structural vector autoregression model using crude oil prices (COP) and the Baltic Exchange Dry Index (BDI) are consistent with increases in COVID-19 cases acting as negative demand shocks in the global economic activity (reflected as reductions in COP) and negative supply shocks in the global transportation of commodities (reflected as increases in BDI). The historical decomposition results further suggest that the effects of COVID-19 cases on COP and BDI have been mostly observed in the early COVID-19 period. Elsevier Ltd. 2022-05 2022-03-05 /pmc/articles/PMC8896980/ /pubmed/35280846 http://dx.doi.org/10.1016/j.tranpol.2022.03.003 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yilmazkuday, Hakan Coronavirus disease 2019 and the global economy() |
title | Coronavirus disease 2019 and the global economy() |
title_full | Coronavirus disease 2019 and the global economy() |
title_fullStr | Coronavirus disease 2019 and the global economy() |
title_full_unstemmed | Coronavirus disease 2019 and the global economy() |
title_short | Coronavirus disease 2019 and the global economy() |
title_sort | coronavirus disease 2019 and the global economy() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896980/ https://www.ncbi.nlm.nih.gov/pubmed/35280846 http://dx.doi.org/10.1016/j.tranpol.2022.03.003 |
work_keys_str_mv | AT yilmazkudayhakan coronavirusdisease2019andtheglobaleconomy |