Yang Qi-Cheng, Chen Xia, Chang Chun-Ping, Chen Di, Hao Yu
School of Economics, Zhongnan University of Economics and Law, Wuhan 430073, China.
Changsha University of Science and Technology, Changsha 410114, China.
Struct Chang Econ Dyn. 2021 Dec;59:98-107. doi: 10.1016/j.strueco.2021.08.007. Epub 2021 Aug 28.
Using daily data of novel coronavirus pneumonia (COVID-19) covering 118 countries from January 1 to April 13, 2021, this research examines the relationship between the government response stringency index () and COVID-19 pandemic. The empirical results show that significantly negatively impacts confirmed cases, and the effects are especially larger around 14 to 21 days after the implementation of the government response. These results are robust through analysis with sub-samples of Asian countries and non-Asian countries, proving that public prevention policies of being isolated for 14 days and being observed for 7 days are effective. The Dumitrescu-Hurlin causality test uncovers a statistically significant bi-directional correlation between government response stringency and COVID-19 pandemic when analyzing the full samples. In terms of the sub-samples, a bi-directional relationship exists between government response stringency and confirmed cases, while one-way causality runs only from government response stringency to deaths in Asian countries. We offer a policy implication that countries all over the world should continue to carry out public prevention policies, and governments in non-Asian countries should be more concerned about confirmed cases.
本研究利用2021年1月1日至4月13日覆盖118个国家的新型冠状病毒肺炎(COVID-19)每日数据,考察了政府应对严格指数()与COVID-19大流行之间的关系。实证结果表明,该指数对确诊病例有显著的负面影响,且在政府采取应对措施后的14至21天左右影响尤为明显。通过对亚洲国家和非亚洲国家子样本的分析,这些结果是稳健的,证明了14天隔离和7天观察的公共预防政策是有效的。在分析全样本时,杜米特雷斯库-赫尔林因果检验揭示了政府应对严格程度与COVID-19大流行之间存在统计学上显著的双向相关性。就子样本而言,政府应对严格程度与确诊病例之间存在双向关系,而在亚洲国家,单向因果关系仅从政府应对严格程度指向死亡人数。我们提出一项政策建议,即世界各国应继续实施公共预防政策,非亚洲国家的政府应更加关注确诊病例。