IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0260062.html
   My bibliography  Save this article

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

Author

Listed:
  • Cathy W S Chen
  • Tsai-Hung Fan

Abstract

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.

Suggested Citation

  • Cathy W S Chen & Tsai-Hung Fan, 2022. "Public opinion concerning governments’ response to the COVID-19 pandemic," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-10, March.
  • Handle: RePEc:plo:pone00:0260062
    DOI: 10.1371/journal.pone.0260062
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0260062
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0260062&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0260062?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Thiemo Fetzer & Lukas Hensel & Johannes Hermle & Christopher Roth, 2021. "Coronavirus Perceptions and Economic Anxiety," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 968–978-9, December.
    2. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    3. Herrera, Helios & Konradt, Maximilian & Ordoñez, Guillermo & Trebesch, Christoph, 2020. "Corona politics: The cost of mismanaging pandemics," Kiel Working Papers 2165, Kiel Institute for the World Economy (IfW Kiel).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Louis-Philippe Beland & Abel Brodeur & Taylor Wright, 2020. "COVID-19, Stay-at-Home Orders and Employment: Evidence from CPS Data," Carleton Economic Papers 20-04, Carleton University, Department of Economics, revised 19 May 2020.
    2. Faia, Ester & Fuster, Andreas & Pezone, Vincenzo & Zafar, Basit, 2021. "Biases in information selection and processing: Survey evidence from the pandemic," SAFE Working Paper Series 307, Leibniz Institute for Financial Research SAFE.
    3. Lucia Freira & Marco Sartorio & Cynthia Boruchowicz & Florencia Lopez Boo & Joaquin Navajas, 2021. "The interplay between partisanship, forecasted COVID-19 deaths, and support for preventive policies," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
    4. Brodeur, Abel & Cook, Nikolai & Wright, Taylor, 2021. "On the effects of COVID-19 safer-at-home policies on social distancing, car crashes and pollution," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
    5. Kwan Ok Lee & Hyojung Lee, 2022. "Public responses to COVID‐19 case disclosure and their spatial implications," Journal of Regional Science, Wiley Blackwell, vol. 62(3), pages 732-756, June.
    6. Feng, Jingbing & Xu, Xian & Zou, Hong, 2023. "Risk communication clarity and insurance demand: The case of the COVID-19 pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    7. Sumedha Gupta & Kosali I. Simon & Coady Wing, 2020. "Mandated and Voluntary Social Distancing During The COVID-19 Epidemic: A Review," NBER Working Papers 28139, National Bureau of Economic Research, Inc.
    8. Nagurney, Anna, 2021. "Supply chain game theory network modeling under labor constraints: Applications to the Covid-19 pandemic," European Journal of Operational Research, Elsevier, vol. 293(3), pages 880-891.
    9. Carola Binder, 2020. "Coronavirus Fears and Macroeconomic Expectations," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 721-730, October.
    10. Leonardo Baccini & Abel Brodeur & Stephen Weymouth, 2021. "The COVID-19 pandemic and the 2020 US presidential election," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 739-767, April.
    11. Rafkin, Charlie & Shreekumar, Advik & Vautrey, Pierre-Luc, 2021. "When guidance changes: Government stances and public beliefs," Journal of Public Economics, Elsevier, vol. 196(C).
    12. Gonzalez-Eiras, Martín & Niepelt, Dirk, 2022. "The political economy of early COVID-19 interventions in US states," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    13. Ambrocio, Gene & Hasan, Iftekhar, 2022. "Belief polarization and Covid-19," Bank of Finland Research Discussion Papers 10/2022, Bank of Finland.
    14. Leonardo Bursztyn & Aakaash Rao & Christopher Roth & David Yanagizawa-Drott, 2020. "Misinformation During a Pandemic," Working Papers 2020-44, Becker Friedman Institute for Research In Economics.
    15. Belhadi, Amine & Kamble, Sachin & Jabbour, Charbel Jose Chiappetta & Gunasekaran, Angappa & Ndubisi, Nelson Oly & Venkatesh, Mani, 2021. "Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    16. Fazio, Andrea & Reggiani, Tommaso & Sabatini, Fabio, 2022. "The political cost of sanctions: Evidence from COVID-19," Health Policy, Elsevier, vol. 126(9), pages 872-878.
    17. Boto-García, David, 2023. "Investigating the two-way relationship between mobility flows and COVID-19 cases," Economic Modelling, Elsevier, vol. 118(C).
    18. Fuest, Clemens & Immel, Lea & Neumeier, Florian & Peichl, Andreas, 2023. "Does expert information affect citizens’ attitudes toward Corona policies? Evidence from Germany," European Journal of Political Economy, Elsevier, vol. 78(C).
    19. Madurai Elavarasan, Rajvikram & Shafiullah, GM & Raju, Kannadasan & Mudgal, Vijay & Arif, M.T. & Jamal, Taskin & Subramanian, Senthilkumar & Sriraja Balaguru, V.S. & Reddy, K.S. & Subramaniam, Umashan, 2020. "COVID-19: Impact analysis and recommendations for power sector operation," Applied Energy, Elsevier, vol. 279(C).
    20. Koen Deconinck & Ellie Avery & Lee Ann Jackson, 2020. "Food Supply Chains and Covid‐19: Impacts and Policy Lessons," EuroChoices, The Agricultural Economics Society, vol. 19(3), pages 34-39, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0260062. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.