Vulnerability to Climate Change Related Disasters in the Eastern Cape Province
An Application of the Household Vulnerability Index (HVI)
Bibliographic Data
| ID | 7851100 |
|---|---|
| Authors | Leocadia Zhou (0000-0002-0344-4710, Risk and Vulnerability Science Centre (RVSC), University of Fort Hare , P. Bag X1314, Alice 5700, RSA), Melusi Sibanda (0000-0002-6296-7079, University of Zululand), Lovemore Musemwa (0000-0003-4929-9405, Bindura University of Science Education), Simbarashe Ndhleve (0000-0003-0428-4824, Risk and Vulnerability Science Centre (RVSC), Walter Sisulu University , P. Bag X1, UNITRA, 5117, RSA) |
| Year | 2016 |
| Volume | 56 |
| Issue | 3 |
| Pages | 335-353 |
| Publication date | 2016-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Human Ecology (JOURNAL) |
| Journal identifiers | ISSN: 0970-9274 • E-ISSN: 2456-6608 |
| Publisher | Kamla Raj Enterprises (PUBLISHER) |
| DOI | 10.1080/09709274.2016.11907071 |
| OpenAlex | W2770928007 |
| Language | EN |
| Citations received | 1 |
| References cited | 4 |
Globally there is now a consensus that extreme climatic events are occurring and pose significant challenges, particularly for resource poor rural households. This paper assesses household vulnerability to climate change related disasters in the Eastern Cape (EC) Province in South Africa. The Household Vulnerability Index (HVI) was used to determine the levels of vulnerability to climate change related disasters by households. Data from 1546 households was collected, however only 1510 questionnaires were used for analysis. The majority (83%) of the households were found to be moderately vulnerable to climate change related disasters. A Tobit censored regression, used to determine the factors influencing household vulnerability to climate change related disasters, established that socio-economic factors including age, marital status, highest level of education, employment status, health status, ownership of farm assets, receiving external support, income generating activities, livestock ownership and extension access were significant. The findings suggest that households need to be empowered in terms of their socio-economic attributes, a move that will enhance adaptation and resilience under extreme climatic conditions
Climate change · Economics · Environmental health · Extreme weather · Geography · Household income · Marital status · Population · Psychological resilience · Socioeconomics · Tobit model · Vulnerability index · Agricultural risk and resilience · Climate change impacts on agriculture · Climate Change, Adaptation, Migration · Medicine
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |