Abstract

The COVID-19 crisis has prompted the implementation of new measures aimed at containing the virus, given its potential health threats to humanity. Studies indicate that the stringency of these policies is associated with a country’s performance in managing the pandemic. However, the literature still needs more coherent evidence on the relationship between policy stringency, COVID-19 management, and corruption perception, and thus, warrants further investigation. This study used data mining on publicly available datasets from 96 countries worldwide, which include Transparency International’s corruption perception index, COVID-19 stringency measures from the University of Oxford’s Blavatnik School of Government, and COVID-19 management performance scores from the Lowy Institute. The researchers applied clustering techniques to group nations with similar characteristics and mediation analysis to explore the relationship between a country’s corruption perception and its COVID-19 stringency concerning its management performance. Findings revealed four clustered countries. Fourteen countries with less stringent policies and highly transparent tend to manage COVID-19-related indicators better. Thirty-six countries were imposing stricter policies with low scores in the corruption perception level inclined to have lower COVID-19 management performance. Forty-five countries with average stringency and corruption perception levels have average COVID-19 management performance. Meanwhile, the mediation results proposed no mediation effects of the corruption perception on the association of the policy severity and the COVID-19 management performance level of the 96 countries and all clustered countries. With these findings, this study hopes to enlighten policymakers to review the strictness of their policies, as it posits an inverse effect on theCOVID-19 management performance of a country.

Full Text
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