Your browser doesn't support javascript.
Government Epidemic Prevention and Economic Growth Path Under Public Health Emergency: Theoretical Model and Simulation Analysis.
Yin, Zhichao; Chen, Xiaoxu; Wang, Zongshu; Xiang, Lijin.
  • Yin Z; School of Finance, Shandong University of Finance and Economics, Jinan, China.
  • Chen X; School of Finance, Shandong University of Finance and Economics, Jinan, China.
  • Wang Z; Chow Yei Ching School of Graduate Studies, City University of Hong Kong, Hong Kong, SAR China.
  • Xiang L; School of Finance, Shandong University of Finance and Economics, Jinan, China.
Front Public Health ; 9: 748041, 2021.
Article in English | MEDLINE | ID: covidwho-1459515
ABSTRACT
This paper constructs a partial equilibrium model under public health emergency shocks based on economic growth theory, and investigates the relationship between government intervention and virus transmission and economic growth path. We found that both close contacts tracing measures and isolation measures are beneficial to human capital stock and economic output per capita, and the effect of close contact tracing measures is better than that of isolation measures. For infectious diseases of different intensities, economic growth pathways differed across interventions. For low contagious public health emergencies, the focus should be on the coordination of isolation and tracing measures. For highly contagious public health emergencies, strict isolation, and tracing measures have limited effect in repairing the negative economic impact of the outbreak. The theoretical model provides a basic paradigm for the future researches to study economic growth under health emergencies, with good scalability and robustness.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics Limits: Humans Language: English Journal: Front Public Health Year: 2021 Document Type: Article Affiliation country: Fpubh.2021.748041

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics Limits: Humans Language: English Journal: Front Public Health Year: 2021 Document Type: Article Affiliation country: Fpubh.2021.748041