Does CAGE framework predict COVID-19 infection?
An exploratory study on national factors associated with COVID-19 infections
論文ID: 0200721a
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論文ID: 0200721a
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.
