Shanghai Sci-Tech Finance Institute, Shanghai University, Shanghai, China.
Front Public Health. 2021 Jan 18;8:628789. doi: 10.3389/fpubh.2020.628789. eCollection 2020.
This study tests the validity of the club convergence clustering hypothesis in the G20 countries using four measures of the spread of the COVID-19 pandemic: total number of confirmed cases per million people, new cases per million people, total deaths per million people, and new deaths per million people. The empirical analysis is based on the daily data from March 1, 2020, to October 10, 2020. The results indicate three clusters for the per capita income, two clusters for total cases per million people, and new cases per million people. Besides, there are only one and two clusters for total deaths per million people and new deaths per million people. Potential policy implications are also discussed in detail.
本研究使用四项 COVID-19 大流行传播指标（每百万人确诊病例数、每百万人新增病例数、每百万人总死亡数和每百万人新增死亡数）检验了 G20 国家俱乐部趋同聚类假说的有效性。实证分析基于 2020 年 3 月 1 日至 2020 年 10 月 10 日的每日数据。结果表明，人均收入有三个聚类，每百万人总病例数和每百万人新增病例数有两个聚类。此外，每百万人总死亡数和每百万人新增死亡数只有一个和两个聚类。文中还详细讨论了潜在的政策影响。
