IDEAS home Printed from https://ideas.repec.org/a/ibn/gjhsjl/v15y2023i11p22-43.html
   My bibliography  Save this article

The Effect of Individual Preferences on Precautionary Behaviors in Vaccine Taking, Saving, and Physical Activity

Author

Listed:
  • Di Wang
  • Teng-peng Chen
  • Zhong-hua Shi

Abstract

The COVID-19 pandemic has underscored the importance of how people react behaviorally to external threats. Precautionary behavioral responses to COVID-19 become apparent. In addition, individual risk and time preferences are related to economic behaviors under uncertainty and health-related behaviors. This study aims to determine whether and how time and risk choices influence precautionary behaviors in vaccine-taking, saving, and physical activity during the coronavirus lockdown. We conducted a cross-sectional study utilizing an online survey, which included a sample of 1016 individuals aged 18 to 60 residing and working in Shanghai. We use logistic regressions to estimate. We have three findings. First, risk-taking and future-oriented individuals are more likely to get vaccinated. Second, future-oriented ones are more inclined to exercise at home via digital media during the lockdown. Third, neither risk preference nor time preference is predictive of precautionary saving. This work aids the literature by documenting time and risk preferences influencing health-related behaviors and life well-being during the lockdown. The conclusions have practical implications from a policy perspective.

Suggested Citation

  • Di Wang & Teng-peng Chen & Zhong-hua Shi, 2023. "The Effect of Individual Preferences on Precautionary Behaviors in Vaccine Taking, Saving, and Physical Activity," Global Journal of Health Science, Canadian Center of Science and Education, vol. 15(11), pages 22-43, November.
    • Handle: RePEc:ibn:gjhsjl:v:15:y:2023:i:11:p:22-43
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/gjhs/article/download/0/0/49334/53240
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/gjhs/article/view/0/49334
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lydia Lawless & Andreas Drichoutis & Rodolfo Nayga, 2013. "Time preferences and health behaviour: a review," Demography, Springer;Population Association of America (PAA), vol. 1(1), pages 1-19, December.
    2. Andreas C. Drichoutis & Rodolfo M. Nayga, 2022. "On the stability of risk and time preferences amid the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 759-794, June.
    3. Marjon Pol & Deirdre Hennessy & Braden Manns, 2017. "The role of time and risk preferences in adherence to physician advice on health behavior change," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(3), pages 373-386, April.
    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. Boutin, Delphine & Petifour, Laurene & Megzari, Haris, 2023. "Permanent Instability of Preferences after COVID-19 Crisis: A Natural Experiment from Urban Burkina Faso," IZA Discussion Papers 16075, Institute of Labor Economics (IZA).
    2. Julien Bergeot & Florence Jusot, 2024. "Risk, time preferences, trustworthiness and COVID-19 preventive behavior: evidence from France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 91-101, February.
    3. Kristoffer Panduro Madsen & Trine Kjær, 2024. "Do time preferences predict diabetes outcomes? A combined survey and register‐based study," Health Economics, John Wiley & Sons, Ltd., vol. 33(9), pages 1949-1961, September.
    4. Martina Björkman Nyqvist & Lucia Corno & Damien de Walque & Jakob Svensson, 2022. "HIV, risk, and time preferences: Evidence from a general population sample in Lesotho," Health Economics, John Wiley & Sons, Ltd., vol. 31(5), pages 904-911, May.
    5. Heavey, Emily & Baxter, Kate & Birks, Yvonne, 2019. "Financial advice for funding later life care: a scoping review of evidence from England," LSE Research Online Documents on Economics 91497, London School of Economics and Political Science, LSE Library.
    6. Jean Spinks & Son Nghiem & Joshua Byrnes, 2021. "Risky business, healthy lives: how risk perception, risk preferences and information influence consumer’s risky health choices," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 811-831, July.
    7. Delphine Boutin & Laurène Petifour & Haris Megzari, 2022. "Instability of preferences due to Covid-19 Crisis and emotions: a natural experiment from urban Burkina Faso," Working Papers hal-03623601, HAL.
    8. Marjon Pol & Deirdre Hennessy & Braden Manns, 2017. "The role of time and risk preferences in adherence to physician advice on health behavior change," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(3), pages 373-386, April.
    9. Müller, Stephan & Rau, Holger A., 2020. "Economic preferences and compliance in the social stress test of the Corona crisis," University of Göttingen Working Papers in Economics 391, University of Goettingen, Department of Economics.
    10. Paul Bokern & Jona Linde & Arno Riedl & Peter Werner, 2023. "The Robustness of Preferences during a Crisis: The Case of Covid-19," CESifo Working Paper Series 10595, CESifo.
    11. Cavaliere, Alessia & De Marchi, Elisa & Banterle, Alessandro, 2015. "Information based food policy: is nutritional label the right instrument for everyone?," 2015 Conference, August 9-14, 2015, Milan, Italy 211399, International Association of Agricultural Economists.
    12. Apouey, Bénédicte H., 2018. "Preparation for old age in France: The roles of preferences and expectations," The Journal of the Economics of Ageing, Elsevier, vol. 12(C), pages 15-23.
    13. Strulik, Holger & Trimborn, Timo, 2018. "Hyperbolic discounting can be good for your health," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 44-57.
    14. repec:ags:iaae15:211447 is not listed on IDEAS
    15. Thomas Epper & Ernst Fehr & Helga Fehr-Duda & Claus Thustrup Kreiner & David Dreyer Lassen & Søren Leth-Petersen & Gregers Nytoft Rasmussen, 2020. "Time Discounting and Wealth Inequality," American Economic Review, American Economic Association, vol. 110(4), pages 1177-1205, April.
    16. Burggraf, Christine & Teuber, Ramona & Brosig, Stephan & Glauben, Thomas, 2015. "Economic growth and the demand for dietary quality: Evidence from Russia during transition," Economics & Human Biology, Elsevier, vol. 19(C), pages 184-203.
    17. 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 & University of Caen) 2022-01, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    18. Strulik, Holger & Werner, Katharina, 2021. "Time-inconsistent health behavior and its impact on aging and longevity," Journal of Health Economics, Elsevier, vol. 76(C).
    19. Blayac, Thierry & Dubois, Dimitri & Duchêne, Sébastien & Nguyen-Van, Phu & Ventelou, Bruno & Willinger, Marc, 2022. "What drives the acceptability of restrictive health policies: An experimental assessment of individual preferences for anti-COVID 19 strategies," Economic Modelling, Elsevier, vol. 116(C).
    20. Zhou, Yan & Aoki, Keiko & Akai, Kenju, 2024. "Relationship between health behavior compliance and prospect theory-based risk preferences during a pandemic of COVID-19," China Economic Review, Elsevier, vol. 86(C).
    21. Donata Bessey, 2018. "Preferences, personality and health behaviors: results from an explorative economic experiment," International Journal of Health Economics and Management, Springer, vol. 18(4), pages 437-456, December.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:gjhsjl:v:15:y:2023:i:11:p:22-43. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.