Ethnolinguistic diversity and the spread of communicable diseases
A cross-country study on the Covid-19 pandemic
Bibliographic Data
| ID | 22945767 |
|---|---|
| Authors | Cong Wang (0000-0002-1498-7104, Macquarie University, corresponding author), Jimin Wang (0000-0002-3402-2916, Accounting and Finance, University of Western Australia , Perth, WA , Australia) |
| Year | 2022 |
| Volume | 37 |
| Issue | 4 |
| Publication date | 2022-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Health Promotion International (JOURNAL) |
| Journal identifiers | ISSN: 0957-4824 • E-ISSN: 1460-2245 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/heapro/daac082 |
| PMID | 36000530 |
| OpenAlex | W4293105202 |
| Language | EN |
| References cited | 56 |
Motivated by the varying effectiveness of government intervention policies to contain the COVID-19 pandemic, and the potential positive relationship between ethnolinguistic diversity and social distance, this paper aims to provide empirical evidence on the relationship between ethnolinguistic diversity and the spread of COVID-19. In particular, using global data from 113 developed and developing countries during the early stages of the pandemic (from 31 December 2019 to 8 July 2020), we have found a significant negative effect of ethnolinguistic diversity on the spread of the virus. The result is robust to alternative measures of ethnolinguistic diversity and estimator that addresses endogeneity. Moreover, we also show that the impact of ethnolinguistic diversity on the spread of COVID-19 differs in economies characterized by different levels of democracy, policy stringency on addressing COVID-19 and health expenditure.
Coronavirus disease 2019 (COVID-19) · Cultural diversity · Demographic economics · Development economics · Diversity (politics) · Econometrics · Economic growth · Economics · Endogeneity · Ethnic group · Fractionalization · Geography · Government (linguistics) · Pandemic · Political science · Social distance · Socioeconomics · Sociology · COVID-19 Pandemic Impacts · Media Influence and Politics · Medicine · Migration and Labor Dynamics
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| Citation velocity | historical |
|---|---|
| Highly cited | No |