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Differences in NPI strategies against COVID-19

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  • Margarete Redlin

    (Paderborn University)

Abstract

Non-pharmaceutical interventions are an effective strategy to prevent and control COVID-19 transmission in the community. However, the timing and stringency to which these measures have been implemented varied between countries and regions. The differences in stringency can only to a limited extent be explained by the number of infections and the prevailing vaccination strategies. Our study aims to shed more light on the lockdown strategies and to identify the determinants underlying the differences between countries on regional, economic, institutional, and political level. Based on daily panel data for 173 countries and the period from January 2020 to October 2021 we find significant regional differences in lockdown strategies. Further, more prosperous countries implemented milder restrictions but responded more quickly, while poorer countries introduced more stringent measures but had a longer response time. Finally, democratic regimes and stronger manifested institutions alleviated and slowed down the introduction of lockdown measures.

Suggested Citation

  • Margarete Redlin, 2022. "Differences in NPI strategies against COVID-19," Journal of Regulatory Economics, Springer, vol. 62(1), pages 1-23, December.
    • Handle: RePEc:kap:regeco:v:62:y:2022:i:1:d:10.1007_s11149-022-09452-9
    DOI: 10.1007/s11149-022-09452-9
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    Cited by:

    1. Stefania Profeti & Federico Toth, 2023. "Climbing the 'ladder of intrusiveness': the Italian government's strategy to push the Covid-19 vaccination coverage further," Policy Sciences, Springer;Society of Policy Sciences, vol. 56(4), pages 709-731, December.

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    More about this item

    Keywords

    Pandemics; COVID-19; Non-pharmaceutical interventions; Lockdown; Economics;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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