Cargando…

Public opinion concerning governments’ response to the COVID-19 pandemic

OBJECTIVES: Governments around the world have implemented numerous policies in response to the COVID-19 pandemic. This research examines the political issues resulting in public opinion concerning their responses to the pandemic via an international perspective. The objectives of this study are to:...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Cathy W. S., Fan, Tsai-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890629/
https://www.ncbi.nlm.nih.gov/pubmed/35235561
http://dx.doi.org/10.1371/journal.pone.0260062
_version_ 1784661677471432704
author Chen, Cathy W. S.
Fan, Tsai-Hung
author_facet Chen, Cathy W. S.
Fan, Tsai-Hung
author_sort Chen, Cathy W. S.
collection PubMed
description OBJECTIVES: Governments around the world have implemented numerous policies in response to the COVID-19 pandemic. This research examines the political issues resulting in public opinion concerning their responses to the pandemic via an international perspective. The objectives of this study are to: (1) measure the association and determine whether differences in political support can be attributed to the presence of approval ratings during the pandemic, and to (2) identify exceptional cases based on statistical predictions. METHODS: We collect information from several open-sourced surveys conducted between June and September 2020 of public sentiment concerning governments’ response toward COVID-19. The 11 countries in our sample account for over 50% of the world’s Gross Domestic Product (GDP). The study includes country-specific random effects to take into account the data’s clustered structure. We consider “political partisanship” and “pre-pandemic approval ratings in 2019” as two potential explanatory variables and employ a mix-effect regression for bounded responses via variable transformation and the wild bootstrap resampling method. RESULTS: According to the wild bootstrap method, the mixed-effect regression explains 98% of the variation in approval ratings during the pandemic in September 2020. The findings reveal partisan polarization on COVID-19 policies in the U.S., with opposing supporters most likely to express negative sentiments toward the governing party. CONCLUSIONS: The evidence suggests that approval ratings during the pandemic correlate to differences in political support and pre-pandemic approval ratings, as measured by approval ratings from the views between governing coalition supporters and opponents.
format Online
Article
Text
id pubmed-8890629
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-88906292022-03-03 Public opinion concerning governments’ response to the COVID-19 pandemic Chen, Cathy W. S. Fan, Tsai-Hung PLoS One Research Article OBJECTIVES: Governments around the world have implemented numerous policies in response to the COVID-19 pandemic. This research examines the political issues resulting in public opinion concerning their responses to the pandemic via an international perspective. The objectives of this study are to: (1) measure the association and determine whether differences in political support can be attributed to the presence of approval ratings during the pandemic, and to (2) identify exceptional cases based on statistical predictions. METHODS: We collect information from several open-sourced surveys conducted between June and September 2020 of public sentiment concerning governments’ response toward COVID-19. The 11 countries in our sample account for over 50% of the world’s Gross Domestic Product (GDP). The study includes country-specific random effects to take into account the data’s clustered structure. We consider “political partisanship” and “pre-pandemic approval ratings in 2019” as two potential explanatory variables and employ a mix-effect regression for bounded responses via variable transformation and the wild bootstrap resampling method. RESULTS: According to the wild bootstrap method, the mixed-effect regression explains 98% of the variation in approval ratings during the pandemic in September 2020. The findings reveal partisan polarization on COVID-19 policies in the U.S., with opposing supporters most likely to express negative sentiments toward the governing party. CONCLUSIONS: The evidence suggests that approval ratings during the pandemic correlate to differences in political support and pre-pandemic approval ratings, as measured by approval ratings from the views between governing coalition supporters and opponents. Public Library of Science 2022-03-02 /pmc/articles/PMC8890629/ /pubmed/35235561 http://dx.doi.org/10.1371/journal.pone.0260062 Text en © 2022 Chen, Fan https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Cathy W. S.
Fan, Tsai-Hung
Public opinion concerning governments’ response to the COVID-19 pandemic
title Public opinion concerning governments’ response to the COVID-19 pandemic
title_full Public opinion concerning governments’ response to the COVID-19 pandemic
title_fullStr Public opinion concerning governments’ response to the COVID-19 pandemic
title_full_unstemmed Public opinion concerning governments’ response to the COVID-19 pandemic
title_short Public opinion concerning governments’ response to the COVID-19 pandemic
title_sort public opinion concerning governments’ response to the covid-19 pandemic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890629/
https://www.ncbi.nlm.nih.gov/pubmed/35235561
http://dx.doi.org/10.1371/journal.pone.0260062
work_keys_str_mv AT chencathyws publicopinionconcerninggovernmentsresponsetothecovid19pandemic
AT fantsaihung publicopinionconcerninggovernmentsresponsetothecovid19pandemic