Kim Kijin, Kim Soyoung, Lee Donghyun, Park Cyn-Young
Economic Research and Regional Cooperation Department at the Asian Development Bank (ADB), Philippines.
Department of Economics, Seoul National University, Republic of Korea.
J Econ Dyn Control. 2023 May;150:104642. doi: 10.1016/j.jedc.2023.104642. Epub 2023 Mar 20.
This paper investigates the dynamic impact of social distancing policy on coronavirus disease (COVID-19) infection control, mobility of people, and consumption expenditures in the Republic of Korea. We employ structural and threshold vector autoregressive (VAR) models using big-data-driven mobility data, credit card expenditure, and a social distancing index. We find that the social distancing policy significantly reduces the spread of COVID-19, but there exists a significant, growing trade-off between infection control and economic activity over time. When the level of stringency in social distancing is already high, its marginal effect on mobility is estimated to be smaller than when social distancing stringency is low. The effect of social distancing also becomes secondary after vaccination. Increased vaccination is found to significantly reduce the critical cases while it increases visitors and consumption expenditures. The results also show that the effect of social distancing policy on mobility reduction is strongest among the population of age under 20 and the weakest among the population of age over 60.
本文研究了社交距离政策对大韩民国冠状病毒病(COVID-19)感染控制、人员流动和消费支出的动态影响。我们使用大数据驱动的移动性数据、信用卡支出和社交距离指数,采用结构和阈值向量自回归(VAR)模型。我们发现,社交距离政策显著减少了COVID-19的传播,但随着时间的推移,在感染控制和经济活动之间存在显著且不断加剧的权衡。当社交距离的严格程度已经很高时,其对流动性的边际影响估计要小于社交距离严格程度较低时。接种疫苗后,社交距离的影响也变得次要。研究发现,增加疫苗接种可显著减少重症病例,同时增加访客和消费支出。结果还表明,社交距离政策对减少流动性的影响在20岁以下人群中最强,在60岁以上人群中最弱。