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It matters to be in good hands: the relationship between good governance and pandemic spread inferred from cross-country COVID-19 data

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2Institutions déclarées
2Pays d’affiliation déclarés

Résumé fourni par la source

Abstract This study examines the relationship between good governance and pandemic control using month-wise COVID-19 pandemic data within a time window from April to September 2020. The study argues that countries with better governance are more capable of adopting and implementing appropriate policies and that such governments are considered more trustworthy by their people. Combined, these factors enable such countries to better control a pandemic like COVID-19. Using several measures of good governance and two measures of pandemic spread, namely the COVID-19 positive rate and the COVID-19 growth rate, this paper tests its argument econometrically in a sample of 185 countries. The results show the existence of a significant inverse relationship between all measures of good governance, and the COVID-19 positive and growth rates. The significant inverse relationship largely persists even after controlling for continent-fixed effects and a host of geographic, demographic, and socio-economic factors. This indicates the presence of a strong systemic linkage between quality of governance and pandemic control. The findings empirically strengthen the argument of eminent medical historians concerning the importance of effective governmental intervention for epidemic control. The study reveals that the quality of governance is a key factor in a country’s success in pandemic management and encourages further investigation.

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Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
It matters to be in good hands: the relationship between good governance and pandemic spread inferred from cross-country COVID-19 data
Date Crossref
24/08/2021
Éditeur
Springer Science and Business Media LLC
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.

Institutions déclarées

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Sujets associés

COVID-19 epidemiological studiesCOVID-19 Pandemic ImpactsIncome, Poverty, and Inequality

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