IDEAS home Printed from https://ideas.repec.org/a/spr/ediscc/v6y2022i2d10.1007_s41885-021-00103-5.html
   My bibliography  Save this article

Variations in Early-Stage Responses to Pandemics: Survey Evidence from the COVID-19 Pandemic in Japan

Author

Listed:
  • Masahiro Shoji

    (University of Tokyo)

  • Susumu Cato

    (University of Tokyo)

  • Takashi Iida

    (University of Tokyo)

  • Kenji Ishida

    (University of Tokyo)

  • Asei Ito

    (University of Tokyo)

  • Kenneth Mori McElwain

    (University of Tokyo)

Abstract

During the initial phase of pandemics, swift behavioral responses by individuals, such as social distancing, can temper the speed and magnitude of further infections. However, individual choices in this period are often made in the absence of reliable knowledge and coordinated policy interventions, producing variation in protective behaviors that cannot be easily deduced from that in later periods. Using unique monthly panel survey data, we examine variations in the association between changes in infections and risky behavior, particularly the frequencies of face-to-face conversations and dining out, between January to March 2020. We find that the increase in confirmed cases is negatively associated with the likelihood of these behaviors. However, high school graduates are less responsive than university graduates. We provide evidence that this can be attributed to their lower perception of infection risk, while we cannot fully rule out the roles of income opportunity costs. These results point to the benefits of interventions incorporating nudges to raise individuals’ risk perceptions during the initial phase of pandemics. We also discuss the potential efficacy of such interventions in later periods of pandemics.

Suggested Citation

  • Masahiro Shoji & Susumu Cato & Takashi Iida & Kenji Ishida & Asei Ito & Kenneth Mori McElwain, 2022. "Variations in Early-Stage Responses to Pandemics: Survey Evidence from the COVID-19 Pandemic in Japan," Economics of Disasters and Climate Change, Springer, vol. 6(2), pages 235-258, July.
  • Handle: RePEc:spr:ediscc:v:6:y:2022:i:2:d:10.1007_s41885-021-00103-5
    DOI: 10.1007/s41885-021-00103-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41885-021-00103-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41885-021-00103-5?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yuya Katafuchi & Kenichi Kurita & Shunsuke Managi, 2021. "COVID-19 with Stigma: Theory and Evidence from Mobility Data," Economics of Disasters and Climate Change, Springer, vol. 5(1), pages 71-95, April.
    2. Abel Brodeur & Idaliya Grigoryeva & Lamis Kattan, 2021. "Stay-at-home orders, social distancing, and trust," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1321-1354, October.
    3. Darius Lakdawalla & Neeraj Sood & Dana Goldman, 2006. "HIV Breakthroughs and Risky Sexual Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 1063-1102.
    4. Kenkel, Donald S, 1991. "Health Behavior, Health Knowledge, and Schooling," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 287-305, April.
    5. Maurer, Jürgen, 2009. "Who has a clue to preventing the flu? Unravelling supply and demand effects on the take-up of influenza vaccinations," Journal of Health Economics, Elsevier, vol. 28(3), pages 704-717, May.
    6. Bennett, Daniel & Chiang, Chun-Fang & Malani, Anup, 2015. "Learning during a crisis: The SARS epidemic in Taiwan," Journal of Development Economics, Elsevier, vol. 112(C), pages 1-18.
    7. John M. Barrios & Yael Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," NBER Working Papers 27008, National Bureau of Economic Research, Inc.
    8. Anderson, Lisa R. & Mellor, Jennifer M., 2008. "Predicting health behaviors with an experimental measure of risk preference," Journal of Health Economics, Elsevier, vol. 27(5), pages 1260-1274, September.
    9. Amory Martin & Maryia Markhvida & Stéphane Hallegatte & Brian Walsh, 2020. "Socio-Economic Impacts of COVID-19 on Household Consumption and Poverty," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 453-479, October.
    10. Fenichel, Eli P., 2013. "Economic considerations for social distancing and behavioral based policies during an epidemic," Journal of Health Economics, Elsevier, vol. 32(2), pages 440-451.
    11. Antoine Mandel & Vipin Veetil, 2020. "The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 431-451, October.
    12. Tian Zhou‐Richter & Mark J. Browne & Helmut Gründl, 2010. "Don't They Care? Or, Are They Just Unaware? Risk Perception and the Demand for Long‐Term Care Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(4), pages 715-747, December.
    13. Shinsuke Ikeda & Hideaki Kiyoshi Kato & Fumio Ohtake & Yoshiro Tsutsui (ed.), 2016. "Behavioral Economics of Preferences, Choices, and Happiness," Springer Books, Springer, edition 1, number 978-4-431-55402-8, December.
    14. Schaller, Jessamyn & Schulkind, Lisa & Shapiro, Teny, 2019. "Disease outbreaks, healthcare utilization, and on-time immunization in the first year of life," Journal of Health Economics, Elsevier, vol. 67(C).
    15. Barrios, John M. & Benmelech, Efraim & Hochberg, Yael V. & Sapienza, Paola & Zingales, Luigi, 2021. "Civic capital and social distancing during the Covid-19 pandemic☆," Journal of Public Economics, Elsevier, vol. 193(C).
    16. Gidengil, C.A. & Parker, A.M. & Zikmund-Fisher, B.J., 2012. "Trends in risk perceptions and vaccination intentions: A longitudinal study of the first year of the H1N1 pandemic," American Journal of Public Health, American Public Health Association, vol. 102(4), pages 672-679.
    17. Daron Acemoglu & Victor Chernozhukov & Ivàn Werning & Michael D. Whinston, 2020. "A Multi-Risk SIR Model with Optimally Targeted Lockdown," CeMMAP working papers CWP14/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Lowcock, E.C. & Rosella, L.C. & Foisy, J. & McGeer, A. & Crowcroft, N., 2012. "The social determinants of health and pandemic h1n1 2009 influenza severity," American Journal of Public Health, American Public Health Association, vol. 102(8), pages 51-58.
    19. Lin, Wanchuan & Sloan, Frank, 2015. "Risk perceptions and smoking decisions of adult Chinese men," Journal of Health Economics, Elsevier, vol. 39(C), pages 60-73.
    20. Hiroyasu Inoue & Yasuyuki Todo, 2020. "The propagation of the economic impact through supply chains: The case of a mega-city lockdown against the spread of COVID-19," Papers 2003.14002, arXiv.org.
    21. Eiji Yamamura & Yoshiro Tsustsui, 2021. "School closures and mental health during the COVID-19 pandemic in Japan," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1261-1298, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Willem Thorbecke, 2023. "Japanese Economic Performance after the Pandemic: A Sectoral Analysis," JRFM, MDPI, vol. 16(5), pages 1-17, May.
    2. Hayakawa, Kazunobu & Keola, Souknilanh & Urata, Shujiro, 2022. "How effective was the restaurant restraining order against COVID-19? A nighttime light study in Japan," Japan and the World Economy, Elsevier, vol. 63(C).
    3. Shoji, Masahiro & Cato, Susumu & Ito, Asei & Iida, Takashi & Ishida, Kenji & Katsumata, Hiroto & McElwain, Kenneth Mori, 2022. "Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan," Social Science & Medicine, Elsevier, vol. 306(C).

    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. Shoji, Masahiro & Cato, Susumu & Iida, Takashi & Ishida, Kenji & Ito, Asei & McElwain, Kenneth, 2020. "COVID-19 and Social Distancing in the Absence of Legal Enforcement: Survey Evidence from Japan," MPRA Paper 101968, University Library of Munich, Germany.
    2. Kenichi Kurita & Shunsuke Managi, 2022. "COVID-19 and Stigma: Evolution of Self-restraint Behavior," Dynamic Games and Applications, Springer, vol. 12(1), pages 168-182, March.
    3. Shoji, Masahiro & Cato, Susumu & Ito, Asei & Iida, Takashi & Ishida, Kenji & Katsumata, Hiroto & McElwain, Kenneth Mori, 2022. "Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan," Social Science & Medicine, Elsevier, vol. 306(C).
    4. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    5. Yothin Jinjarak & Ilan Noy & Quy Ta, 2022. "Pandemics and Economic Growth: Evidence from the 1968 H3N2 Influenza," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 73-93, March.
    6. Bazzi, Samuel & Fiszbein, Martin & Gebresilasse, Mesay, 2021. "“Rugged individualism” and collective (in)action during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 195(C).
    7. Yating Chuang & John Chung-En Liu, 2020. "Who wears a mask? Gender differences in risk behaviors in the COVID-19 early days in Taiwan," Economics Bulletin, AccessEcon, vol. 40(4), pages 2619-2627.
    8. Étienne Dagorn & Martina Dattilo & Matthieu Pourieux, 2022. "Preferences matter! Political Responses to the COVID-19 and Population’s Preferences," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 2022-01, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    9. Yuya Katafuchi & Kenichi Kurita & Shunsuke Managi, 2021. "COVID-19 with Stigma: Theory and Evidence from Mobility Data," Economics of Disasters and Climate Change, Springer, vol. 5(1), pages 71-95, April.
    10. George Halkos & Argyro Zisiadou, 2021. "Can We Hedge an Investment Against A Potential Unexpected Environmental Disaster?," Economics of Disasters and Climate Change, Springer, vol. 5(3), pages 355-365, October.
    11. Christian Dreger & Daniel Gros, 2021. "Lockdowns and the US Unemployment Crisis," Economics of Disasters and Climate Change, Springer, vol. 5(3), pages 449-463, October.
    12. Caselli, Mauro & Fracasso, Andrea & Traverso, Silvio, 2021. "Robots and risk of COVID-19 workplace contagion: Evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    13. SECUNDO, Giustina & MELE, Gioconda & VECCHIO, Pasquale Del & ELIA, Gianluca & MARGHERITA, Alessandro & NDOU, Valentina, 2021. "Threat or opportunity? A case study of digital-enabled redesign of entrepreneurship education in the COVID-19 emergency," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    14. Katafuchi, Yuya & Kurita, Kenichi & Managi, Shunsuke, 2020. "Self-restraint behavior under COVID-19 through stigma: Theory and evidence based on mobility data," MPRA Paper 102182, University Library of Munich, Germany.
    15. Gutierrez, Emilio & Rubli, Adrian & Tavares, Tiago, 2022. "Information and behavioral responses during a pandemic: Evidence from delays in Covid-19 death reports," Journal of Development Economics, Elsevier, vol. 154(C).
    16. Kurita, Kenichi & Katafuchi, Yuya, 2021. "COVID-19, stigma, and habituation: Theory and evidence from mobility data," MPRA Paper 110253, University Library of Munich, Germany.
    17. Hunjra, Ahmed Imran & Kijkasiwat, Ploypailin & Arunachalam, Murugesh & Hammami, Helmi, 2021. "Covid-19 health policy intervention and volatility of Asian capital markets," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    18. Beiderbeck, Daniel & Frevel, Nicolas & von der Gracht, Heiko A. & Schmidt, Sascha L. & Schweitzer, Vera M., 2021. "The impact of COVID-19 on the European football ecosystem – A Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    19. Umar, Zaghum & Jareño, Francisco & González, María de la O, 2021. "The impact of COVID-19-related media coverage on the return and volatility connectedness of cryptocurrencies and fiat currencies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    20. Paolo Nicola Barbieri & Beatrice Bonini, 2021. "Political orientation and adherence to social distancing during the COVID-19 pandemic in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 483-504, July.

    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:spr:ediscc:v:6:y:2022:i:2:d:10.1007_s41885-021-00103-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.