Annals of Business Administrative Science
Online ISSN : 1347-4456
Print ISSN : 1347-4464
ISSN-L : 1347-4456
Does CAGE framework predict COVID-19 infection?
An exploratory study on national factors associated with COVID-19 infections
Kiyohiro Oki
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JOURNALS OPEN ACCESS
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2020 Volume 19 Issue 5 Pages 175-192

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Abstract

This paper identifies the national factors related to the number of COVID-19 infections and COVID-19 deaths in each country using the CAGE framework in the international business field. Multiple regression analyses are conducted at multiple time points, with the number of COVID-19 infections and COVID-19 in each country as the dependent variables and cultural factors, administrative and political factors, geographic factors, and economic factors of each country as the independent variables. The analyses reveal the following four points: (1) The cultural, geographical, and economic factors are not significantly associated with the number of COVID-19 infections or deaths. (2) The Administrative and political factors (corruption, government information policy) are negatively associated with the number of COVID-19 infections. (3) None of the factors are associated with the number of COVID-19 deaths. (4) The significance of the correlation between independent and dependent variables changes with time.

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© 2020 Kiyohiro Oki. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

This article is licensed under a Creative Commons [Attribution 4.0 International] license.
https://creativecommons.org/licenses/by/4.0/
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