The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Vulnerability of the South African farming sector to climate change and variability: An indicator approach
Abstract
This paper analyses the vulnerability of South African agriculture to climate change and variability by developing a vulnerability index and comparing vulnerability indicators across the nine provinces of the country. Nineteen environmental and socio-economic indicators are identified to reflect the three components of vulnerability: exposure, sensitivity, and adaptive capacity. The results of the study show that the regions most exposed to climate change and variability do not always overlap with those experiencing high sensitivity or low adaptive capacity. Furthermore, vulnerability to climate change and variability is intrinsically linked with social and economic development. The Western Cape and Gauteng provinces, which have high levels of infrastructure development, high literacy rates, and low shares of agriculture in total GDP, are relatively low on the vulnerability index. In contrast, the highly vulnerable regions of Limpopo, Kwazulu-Natal and the Eastern Cape are characterised by densely populated rural areas, large numbers of small-scale farmers, high dependency on rain-fed agriculture and high land degradation. These large differences in the extent of vulnerability among provinces suggest that policymakers should develop region-specific policies and address climate change at the local level.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Social Vulnerability to Environmental Hazards*
Cutter, S. L., Boruff, B. J., & Shirley, W. L. (2003) · Social Science Quarterly · doi:10.1111/1540-6237.8402002 · Cited by 5,702
Mackay, A. (2008) · Journal of Environmental Quality · doi:10.2134/jeq2008.0015br · Cited by 5,591
Filmer, D., & Pritchett, L. H. (2001) · Demography · doi:10.1353/dem.2001.0003 · Cited by 5,238
Filmer, D., & Pritchett, L. H. (2001) · Demography · doi:10.2307/3088292 · Cited by 2,972
Handbook on Constructing Composite Indicators: Methodology and User Guide
Nardo, M., Saisana, M., Saltelli, A., Tarantola, S., Hoffmann, A., & Giovannini, E. (2005) · OECD Statistics Working Papers · doi:10.1787/533411815016 · Cited by 2,671
Brooks, N., Neil Adger, W., & Mick Kelly, P. (2005) · Global Environmental Change · doi:10.1016/j.gloenvcha.2004.12.006 · Cited by 2,049
The asset vulnerability framework: Reassessing urban poverty reduction strategies
Moser, C. O. N. (1998) · World Development · doi:10.1016/s0305-750x(97)10015-8 · Cited by 2,007
Climate Change Vulnerability Assessments: An Evolution of Conceptual Thinking
Füssel, H.-M., & Klein, R. J. T. (2006) · Climatic Change · doi:10.1007/s10584-006-0329-3 · Cited by 1,994
Deressa, T. T., Hassan, R. M., Ringler, C., Alemu, T., & Yesuf, M. (2009) · Global Environmental Change · doi:10.1016/j.gloenvcha.2009.01.002 · Cited by 1,939
Self-citationThe impact of climate change on smallholder and subsistence agriculture
Morton, J. F. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701855104 · Cited by 1,696
Cited by
Dumenu, W. K., & Obeng, E. A. (2016) · Environmental Science & Policy · doi:10.1016/j.envsci.2015.10.010 · Cited by 259
Kabir, M. E., & Kamruzzaman, P. (2022) · Journal of South Asian Development · doi:10.1177/09731741221078741 · Cited by 24
Metadata
- Authors
- Gbetibouo, G. A., Ringler, C., & Hassan, R.
- Venue
- Natural Resources Forum
- Publisher
- Wiley
- Published
- 2010-08-04
- Volume
- 34
- Issue
- 3
- Pages
- 175-187
- ISSN
- 0165-0203 (ISSN-L)
- OpenAlex
- W2128958048
- Cited by
- 309
- References
- 40
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Vulnerability of the South African farming sector to climate change and variability: An indicator approach. https://app.cochat.ai/papers/10.1111/j.1477-8947.2010.01302.x
- The paper
- Gbetibouo, G. A., Ringler, C., & Hassan, R. (2010). Vulnerability of the South African farming sector to climate change and variability: An indicator approach. Natural Resources Forum. https://doi.org/10.1111/j.1477-8947.2010.01302.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.