Socioeconomic determinants of COVID‐19 in Asian countries: An empirical analysis
| Autor: | Justin Joy, Prasant Kumar Panda, Rittu Susan Varkey, Gargee Sarmah |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
education.field_of_study
Public Administration Poverty Social distance Academic Papers 05 social sciences Population Regression analysis Net migration rate Geography Gross national income 0502 economics and business Political Science and International Relations Per capita Academic Paper Demographic economics 050207 economics education Socioeconomic status 050203 business & management |
| Zdroj: | Journal of Public Affairs |
| ISSN: | 1479-1854 1472-3891 |
| DOI: | 10.1002/pa.2532 |
| Popis: | The spread of coronavirus disease, 2019, has affected several countries in the world including Asian countries. The occurrences of COVID infections are uneven across countries and the same is determined by socioeconomic situations prevailing in the countries besides the preparedness and management. The paper is an attempt to empirically examine the socioeconomic determinants of the occurrence of COVID in Asian countries considering the data as of June 18, 2020, for 42 Asian countries. A multiple regression analysis in a cross‐sectional framework is specified and ordinary least square (OLS) technique with heteroscedasticity corrected robust standard error is employed to obtain regression coefficients. Explanatory variables that are highly collinear have been dropped from the analysis. The findings of the study show a positive significant association of per capita gross national income and net migration with the incidence of total COVID‐19 cases and daily new cases. The size of net migration emerged to be a potential factor and positive in determining the total and new cases of COVID. Social capital as measured by voters' turnout ratio (VTR) in order to indicate the people's participation is found to be significant and negative for daily new cases per million population. People's participation has played a very important role in checking the incidence of COVID cases and its spread. In alternate models, countries having high incidence of poverty are also having higher cases of COVID. Though the countries having higher percentage of aged populations are more prone to be affected by the spread of virus, but the sign of the coefficient of this variable for Asian country is not in the expected line. Previous year health expenditure and diabetic prevalence rate are not significant in the analysis. Therefore, people‐centric plan and making people more participatory and responsive in adhering to the social distancing norms in public and workplace and adopting preventive measures need to be focused on COVID management strategies. The countries having larger net migration and poverty ratio need to evolve comprehensive and inclusive strategies for testing, tracing, and massive awareness for sanitary practices, social distancing, and following government regulation for management of COVID‐19, besides appropriate food security measures and free provision of sanitary kits for vulnerable section. |
| Databáze: | OpenAIRE |
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