Livelihood Impacts of Drought: Experiences from Households and Business Organizations in Western Cape Province of South Africa

Seyi Olalekan Olawuyi

Department of Agricultural Economics & Extension, University of Fort Hare Alice Campus, Ring Road, Alice, 5700, South Africa

Abbyssinia Mushunje

Department of Agricultural Economics & Extension, University of Fort Hare Alice Campus, Ring Road, Alice, 5700, South Africa

DOI: https://doi.org/10.36956/rwae.v5i2.1100

Received: 5 May 2024; Received in revised form:15 June 2024; Accepted: 18 June 2024; Published: 26 June 2024

Copyright © 2024 Seyi Olalekan Olawuyi, Abbyssinia Mushunje. Published by Nan Yang Academy of Sciences Pte. Ltd.

Creative Commons LicenseThis is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.


Abstract

Drought is a recurring natural phenomenon with significant socio-economic and environmental impacts across South Africa. This research investigates the livelihood impacts of drought on households and organizations in the Western Cape Province of South Africa, utilizing a secondary dataset collected by the Human Sciences Research Council of South Africa. Descriptive statistics were used to describe and explore the dataset. Likewise, heterogeneous choice modeling was applied to investigate the factors influencing the levels of livelihoods impacts of drought among household and organizations. The findings underscored households’ greater vulnerability to drought compared to organizations across all the levels of drought impacts. Many households reported considerable and major impacts, which were largely due to differentials in adaptive capacity. While awareness of the drought was widespread, perception varied regarding the government’s effectiveness in managing the crisis, as less than half of the population of organizations (43.7%) and households (42.1%) have strong belief that the government was very effective in the management of drought disaster, while 30.9% and 34.6% of the organizations and households respectively, believed that the government was not effective enough with the management of drought crisis. Hygiene, chores, and gardening suffered the most among households, whereas disruption of business and financial burdens were predominant for organizations. Factors that significantly influenced the levels of drought impacts include age, institutional engagement of water restrictions, livelihood areas impacted by drought, and perceptions on water consumption rate. The study recommends heightened awareness of water conservation, compliance with restrictions, investment in infrastructure, and embracing community-based adaptation and disaster risk reduction initiatives. For organizations, emergency response plans, business continuity planning, and stakeholder engagement will be helpful to bolster resilience to drought.

Keywords: Livelihood; Drought; Heterogeneous choice mode; Western Cape; South Africa


References

[1] Bahta, Y.T., Myeki, V.A., 2022. The impact of agricultural drought on smallholder livestock farmers: Empirical evidence insights from Northern Cape, South Africa. Agriculture. 12(4), 442. DOI: https://doi.org/10.3390/agriculture12040442

[2] Lloyd-Hughes, B., 2014. The impracticality of a universal drought definition. Theoretical and Applied Climatology. 117, 607–611. DOI: https://doi.org/10.1007/s00704-013-1025-7

[3] Shukla, P.R., Skea, J., Calvo Buendia, E., et al., 2019. Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems. Intergovernmental Panel on Climate Change (IPCC): Geneva, Switzerland.

[4] Oluwatayo, I.B., Braide, T.M., 2022. Socioeconomic determinants of households’ vulnerability to drought in Western Cape, South Africa. Sustainability. 14(13), 7582. DOI: https://doi.org/10.3390/su14137582

[5] Schwalm, C.R., Anderegg, W.R.L., Michalak, A.M., et al., 2017. Global patterns of drought recovery. Nature. 548, 202–205.

[6] Godfrey, S., Tunhuma, F.A., 2020. He climate crisis: climate change impacts, trends and vulnerabilities of children in Sub Sahara Africa. United Nations Children’s Fund Eastern and Southern Africa Regional Office: Nairobi, Kenya.

[7] Bahta, Y.T., Lombard, W.A., 2023. Nexus between social vulnerability and resilience to agricultural drought amongst South African smallholder livestock households. Atmosphere. 14(5), 900. DOI: https://doi.org/10.3390/atmos14050900

[8] Scholes, B., Scholes, M., Lucas, M., 2015. How do El Niño and La Niña events affect South African weather? In: Climate Change: Briefings from Southern Africa. Wits University Press. pp. 9–22.

[9] Walz, Y., Dall, K., Graw, V., et al., 2018. Understanding and reducing agricultural drought risk: Examples from South Africa and Ukraine. United Nations University—Institute for Environment and Human Security (UNU-EHS): Bonn, Germany.

[10] Meza, I., Rezaei, E. E., Siebert, S., et al., 2021. Drought risk for agricultural systems in South Africa: Drivers, spatial patterns, and implications for drought risk management. Science of the Total Environment. 799, 149505.

[11] Waldner, F., Hansen, M.C., Potapov, P.V., et al., 2017. National-scale cropland mapping based on spectral-temporal features and outdated land cover information. PLoS ONE. 12(8), e0181911. DOI: https://doi.org/10.1371/journal.pone.0181911

[12] Human Sciences Research Council (HSRC), 2020. Adaptation to the Western Cape drought of 2016-18 (WCD), 2019: Household and business survey. WCD 2019. Version 1.0., Human Sciences Research Council, Pretoria, South Africa. DOI: http://doi.org/10.14749/1570105897

[13] Pienaar, L., Boonzaaier, J., 2018. Drought policy brief Western Cape agriculture. Western Cape Department of Agriculture (WCDoA) and the Bureau for Food and Agricultural Policy (BFAP), Elsenburg. South Africa.

[14] Khan, A.A., Safdar, Q., Khan, K., 2020. Occurrence pattern of meteorological droughts and associated problems in Cholistan region of Pakistan: A spatio-temporal view. Basic Research Journal of Agricultural Science and Review. 8(3), 38–051. DOI: http://doi.org/10.13140/RG.2.2.29296.69120

[15] Tallaksen, L.M., Van Lanen, H.A.J. (Eds.), 2004. Hydrological Drought. Processes and estimation methods for streamflow and groundwater. (Developments in water science; No. 48). Elsevier.

[16] United Nations (UN) Department of Economic and Social Affairs (UN-DESA), 2015. Sustainable development knowledge platform [Internet] [cited 20 May 2024]. Available from: https://sdgs.un.org/goals

[17] Van Loon, A.F., 2015. Hydrological Drought Explained. Wiley Interdisciplinary Reviews: Water. 2(4), 359–392.

[18] Chivangulula, F.M., Amraoui, M., Pereira, M.G., 2023. The drought regime in Southern Africa: A Systematic Review. Climate. 11(7), 147. DOI: https://doi.org/10.3390/cli11070147

[19] Watson, A., Miller, J., Künne, A., et al., 2022. Using soil-moisture drought indices to evaluate key indicators of agricultural drought in semi-arid Mediterranean Southern Africa. Science of the Total Environment. 812, 152464.

[20] Matlou, R., Bahta, Y.T., 2019. Factors influencing the resilience of smallholder livestock farmers to agricultural drought in South Africa: Implication for adaptive capabilities. Jàmbá: Journal of Disaster Risk Studies, 11(1), 1–7.

[21] Department of Agriculture, Forestry and Fisheries (DAFF), 2018. Drought Status in the Agriculture Sector. Portfolio Committee on Water and Sanitation, Pretoria, South Africa.

[22] Funk, C., Harrison, L., Shukla, S., et al., 2016. Assessing the contributions of local and east Pacific warming to the 2015 droughts in Ethiopia and Southern Africa. Bulletin of the American Meteorological Society. 97(12), S75–S80.

[23] Algur, K.D., Patel, S.K., Chauhan, S., 2021. The impact of drought on the health and livelihoods of women and children in India: A systematic review. Children and Youth Services Review. 122, 105909.

[24] Mare, F., Bahta, Y.T., Van Niekerk, W., 2018. The impact of drought on commercial livestock farmers in South Africa. Development in Practice, 28(7), 884–898.

[25] Zwane, E.M., 2019. Impact of climate change on primary agriculture, water sources and food security in Western Cape, South Africa. Jàmbá: Journal of Disaster Risk Studies, 11(1), 1–7.

[26] Nasrnia, F., Ashktorab, N., 2021. Sustainable livelihood framework-based assessment of drought resilience patterns of rural households of Bakhtegan basin, Iran. Ecological Indicators. 128, 107817. DOI: https://doi.org/10.1016/j.ecolind.2021.107817

[27] Sustainable Livelihood Framework for Equitable Living in Crisis of Global Pandemic. MPRA Paper No. 106951 [Internet] [cited 18 May 2024]. Available from: https://mpra.ub.uni-muenchen.de/106951/1/MPRA_paper_106950.pdf

[28] Redman, C., Kinzig, A., 2003. Resilience of past landscapes: resilience theory, society, and the longue durée. Conservation ecology, 7(1), 1–15.

[29] Kelly, P.M., Adger, W.N., 2000. Theory and practice in assessing vulnerability to climate change and facilitating adaptation. Climatic Change. 47(4), 325–352.

[30] Eisenack, K., Stecker, R., 2011. An action theory of adaptation to climate change. Earth System Governance (No. 13, pp. 7–9). Working Paper.

[31] Eisenack, K., Stecker, R., 2012. A framework for analyzing climate change adaptations as actions. Mitigation and Adaptation Strategies for Global Change. 17, 243–260. DOI: https://doi.org/10.1007/s11027-011-9323-9.

[32] Intergovernmental Panel on Climate Change (IPCC), 2001. Climate Change: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press: Cambridge, United Kingdom.

[33] Intergovernmental Panel on Climate Change (IPCC), 2007. Climate Change: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press: Cambridge, United Kingdom.

[34] Otto, F.E.L., Wolski, P., Lehner, F., et al., 2018. Likelihood of cape town water crisis tripled by climate change. World Weather Attribution.

[35] Botai, C.M., Botai, J.O., De Wit, J.P., et al., 2017. Drought characteristics over the western cape province, South Africa. Water. 9(11), 876.

[36] Williams, R., 2010. Fitting heterogeneous choice models with oglm. The Stata Journal. 10(4), 540-567.

[37] Yatchew, A., Griliches, Z., 1985. Specification error in probit models. The Review of Economics and Statistics. 67, 134–139.

[38] Williams, R., 2009. Using heterogeneous choice models to compare logit and probit coefficients across groups. Sociological Methods & Research. 37(4), 531–559.

[39] Keele, L., Park. D.K., 2006. Difficult choices: an evaluation of heterogeneous choice models. In Paper for the 2004 meeting of the American Political Science Association. pp. 2–5.

[40] Allison, P.D., 1999. Comparing logit and probit coefficients across groups. Sociological Methods & Research. 28(2), 186–208.

[41] Thinda, K., Ogundeji, A., Belle, J., et al., 2020. Understanding the adoption of climate change adaptation strategies among smallholder farmers: Evidence from land reform beneficiaries in South Africa. Land Use Policy. 99, 104858.

[42] Mamba, S.F., 2016. Factors influencing perception of climate variability and change among smallholder farmers in Swaziland. Indian Journal of Nutrition. 3(2), 138–142.

[43] Martey, E., Kuwornu, J.K., 2021. Perceptions of climate variability and soil fertility management choices among smallholder farmers in northern Ghana. Ecological Economics. 180, 106870.

[44] Matikinca, P., Ziervogel, G., Enqvist, J. P., 2020. Drought response impacts on household water use practices in Cape Town, South Africa. Water Policy. 22(3), 483–500.

[45] Olabanji, M.F., Davis, N., Ndarana, T., et al., 2021. Assessment of smallholder farmers’ perception and adaptation response to climate change in the Olifants catchment, South Africa. Journal of Water and Climate Change. 12(7), 3388–3403. DOI: https://doi.org/10.2166/wcc.2021.138

[46] Gbetibouo, G.A., 2009. Understanding farmers’ perceptions and adaptations to climate change and variability: The case of Limpopo basin, South Africa. International Food Policy Research Institute.

[47] Ender, P., 2005. Applied categorical and non-normal data analysis: Ordered logit and probit models. UCLA Statistical Consulting Group.

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