CAGE框架能预测COVID-19感染吗?

Kiyohiro Oki
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引用次数: 7

摘要

本文利用国际商业领域的CAGE框架确定了与每个国家COVID-19感染和COVID-19死亡人数相关的国家因素。在多个时间点进行多元回归分析,以每个国家的COVID-19感染人数和COVID-19为因变量,以每个国家的文化因素、行政和政治因素、地理因素和经济因素为自变量。分析结果表明:①文化、地理和经济因素与新冠肺炎感染或死亡人数无显著相关性。(2)行政和政治因素(腐败、政府信息政策)与COVID-19感染人数呈负相关。(3)上述因素均与COVID-19死亡人数无关。(4)自变量与因变量的相关性显著性随时间变化。
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Does CAGE framework predict COVID-19 infection?
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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7
审稿时长
5 weeks
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