Revisiting the COVID-19 vulnerability index in South Africa

Simple item page
dc.contributor.authorYu, Derek
dc.date.accessioned2022-01-12T10:37:23Z
dc.date.available2022-01-12T10:37:23Z
dc.date.issued2021
dc.description.abstractThis study uses the Census 2011 and Community Survey 2016 data, adopts the Alkire-Foster multidimensional poverty index (MPI) approach and addresses numerous shortcomings of the original Statistics South Africa method by including numerous indicators from four dimensions (socio-economic, demographic, housing and hygiene, health) to derive a revised COVID-19 vulnerability index. The empirical findings indicate the index was relatively higher for African female individuals living in rural areas of the Eastern Cape, KwaZulu-Natal and Limpopo provinces, coming from households headed by elderly aged 55 years or above. Alfred Nzo, Amathole, Harry Gwala, OR Tambo and Umzinyathi are the five district councils that are most vulnerable to COVID-19 (the first four were declared COVID-19 hotspot areas by the South African government in December 2020). The results of the index decomposition found that indicators from the housing and hygiene dimension contributed most to the COVID-19 vulnerability.en_US
dc.identifier.citationYu, D.(2021). Revisiting the COVID-19 vulnerability index in South Africa. Development Southern Africa. 10.1080/0376835X.2021.1973887en_US
dc.identifier.issn1470-3637
dc.identifier.urihttps://doi.org/10.1080/0376835X.2021.1973887
dc.identifier.urihttp://hdl.handle.net/10566/7082
dc.language.isoenen_US
dc.publisherRoutledgeen_US
dc.subjectCOVID-19en_US
dc.subjectMultidimensional povertyen_US
dc.subjectSouth Africaen_US
dc.subjectSocio-economicen_US
dc.subjectHousing and hygieneen_US
dc.subjectHealthen_US
dc.titleRevisiting the COVID-19 vulnerability index in South Africaen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Revisiting the COVID 19 vulnerability index in South Africa.pdf
Size:
1.78 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Research Articles (Economics)