1 option
The Interplay of Policy, Institutions, and Culture in the Time of Covid-19 / Sheng Fang.
World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online
View online- Format:
- Book
- Government document
- Author/Creator:
- Fang, Sheng.
- Series:
- Policy research working papers.
- World Bank e-Library.
- Language:
- English
- Subjects (All):
- Closedown.
- Coronavirus.
- COVID-19.
- Culture.
- Democratic Government.
- Disease Control and Prevention.
- Governance.
- Health, Nutrition and Population.
- Institutions.
- Lockdown.
- Mobility Restrictions.
- Mortality.
- Pandemic Impact.
- Pandemic Response.
- Pandemic Spread.
- Public Health Promotion.
- Local Subjects:
- Closedown.
- Coronavirus.
- COVID-19.
- Culture.
- Democratic Government.
- Disease Control and Prevention.
- Governance.
- Health, Nutrition and Population.
- Institutions.
- Lockdown.
- Mobility Restrictions.
- Mortality.
- Pandemic Impact.
- Pandemic Response.
- Pandemic Spread.
- Public Health Promotion.
- Physical Description:
- 1 online resource (37 pages)
- Place of Publication:
- Washington, D.C. : The World Bank, 2020.
- System Details:
- data file
- Summary:
- This paper examines cross-country evidence of how the Covid-19 pandemic spread and the mortality rates associated with preexisting vulnerabilities, the government's mobility restriction policy, institutions (democracy), and culture (individualistic culture and trust). Preexisting vulnerabilities (that is, the share of the elderly, urbanization, obesity prevalence, and air pollution) increase the spread of the pandemic and/or the mortality rate. On average, the government policy delay in mobility restriction, democracy, and culture indicators are not significantly associated with the pandemic outcomes. However, government delay in restricting mobility drastically amplifies the positive association between preexisting vulnerabilities and pandemic mortality. Individualistic culture and general trust amplify the positive links between pandemic mortality and the share of elderly people or urbanization. The analysis shows that in modeling the pandemic outcomes, it is important to consider cross-country spatial interactions.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.