Determinants of Drought Risk Reduction Adoption Decisions: A Case Study of Gwembe Rural Communities-Zambia
DOI:
https://doi.org/10.12724/ajss.68.3Keywords:
adoption decision, constraints, determinants, Drought, Resilience Building, Risk reductionAbstract
Like any other natural hazards, the frequency and intensity of drought events are increasingly being understood within the context of global climate variability. The subsequent growing emphasis on disaster risk management entails adopting risk reduction initiatives for resilience building. The study aimed to establish perceived determinants of household adoption decisions of drought risk reduction strategies in Gwembe rural. An interpretative paradigm underpinned this study, with a qualitative approach confined to a case study. The study engaged 140 participants selected through purposive and convenience sampling and subjected to open-ended, in-depth interviews. The study utilised thematic data analysis with the aid of Nvivo Pro 12. Findings showed that determinants of drought risk reduction adoption decisions were predominantly socio-economic, environmental and institutional based. It was concluded that some interconnectedness existed between perceived determinants of adoption decisions and constraints faced in adopting risk reduction initiatives. Additionally, low adoption and high levels of no adoption tendencies affected the progression of resilience building to future drought events. A project planning approach incorporating strategies for addressing significant constraints and adopting risk reduction was recommended.
References
Adnan, K.M., Ying, L., Sarker, S.A., Yu, M., Eliw, M., Sultanuzzaman, M.R. and Huq, M.E., (2021). Simultaneous adoption of risk management strategies to manage the catastrophic risk of maize farmers in Bangladesh. GeoJournal, 86, pp.1981-1998. https://doi.org/10.1007/s10708-020-10154-y
Ajzen, I. (2020). The theory of planned behaviour: Frequently asked questions. Human Behaviour and Emerging Technologies, 2(4), 314-324. https://DOI: 10.1002/hbe2.195
Alexander, D. (2018). A magnitude scale for cascading disasters. International Journal of Disaster Risk Reduction, 30, 180-185. https://doi.org/10.1016/j.ijdrr.2018.03.006
Allan, L., and Andrew, M., (2014). The future of disaster risk management, Environmental Hazards, 13:4, 267-280, DOI: 10.1080/17477891.2014.935282
Arslan, A., McCarthy, N., Lipper, L., Asfaw, S. and Cattaneo, A., (2014). Adoption and intensity of adoption of conservation farming practices in Zambia. Agriculture, ecosystems & environment, 187, pp.72-86. https://doi.org/10.1016/j.agee.2013.08.017
Bandura, A. (2014). Social cognitive theory of moral thought and action. In Handbook of moral behavior and development (pp. 69-128). Psychology press. Retrieved from: https://citeseerx.ist.psu.edu/document?repid
Begho, T. (2021). Using farmers’ risk tolerance to explain variations in adoption of improved rice varieties in Nepal. Journal of South Asian Development, 16(2), 171-193. https://doi.org/10.1177/09731741211023636
Boddy, C.R., (2016). Sample size for qualitative research. Qualitative Market Research: An International Journal, 19(4), pp.426-432. https://www.emerald.com/insight/content/doi/10.1108/qmr-06-2016-0053/full/html
Bunclark, L., Gowing, J., Oughton, E., Ouattara, K., Ouoba, S. and Benao, D., (2018). Understanding farmers’ decisions on adaptation to climate change: Exploring adoption of water harvesting technologies in Burkina Faso. Global Environmental Change, 48, pp.243-254. https://doi.org/10.1016/j.gloenvcha.2017.12.004
Cenacchi, N. (2014). Drought risk reduction in agriculture: A review of adaptive strategies in East Africa and the Indo-Gangetic plain of South Asia. Retrieved from: https://books.google.com/books?hl
Central Statistics Office Report ( CSO), (2010). Lusaka, Zambia
Colson, E. and Scudder, T., (2018). New economic relationships between the Gwembe Valley and the Line of Rail. In Town and Country in Central and Eastern Africa (pp. 190-210). Routledge. Retrieved from: https://www.taylorfrancis.com/chapters/edit/10.4324/9780429490453-10/
Creswell, J.W. and Creswell, J.D., (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications. Retrieved from: http://www.ceil-conicet.gov.ar/wp-content/uploads/2015/10/Creswell-Cap-10.pdf.
Dale, L. (2018). Anticipate, Absorb, Reshape (A2R) A Baseline Study of Climate Resilience in Developing Countries. Consilience, (19), 36-57. https://www.jstor.org/stable/26427711#
Daniel, B. K. (2019, June). Student experience of the maximum variation framework for determining sample size in qualitative research. In 18th European Conference on Research Methodology for Business and Management Studies (p. 92). Retrieved from: https://books.google.com/books?
Dhakal, K., (2022). NVivo. Journal of the Medical Library Association: JMLA, 110(2), p.270. https://doi.org/ 10.5195/jmla.2022.1271
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American journal of theoretical and applied statistics, 5(1), 1-4. https://doi: 10.11648/j.ajtas.20160501.11
Gerber, N., Nkonya, E., & von Braun, J. (2014). Land degradation, poverty and marginality. Marginality: Addressing the nexus of poverty, exclusion and ecology, 181-202. https://library.oapen.org/bitstream/handle/20.500.12657/28031/10.1007_978-94-007-7061-4.pdf
Giller, K. E., Andersson, J. A., Corbeels, M., Kirkegaard, J., Mortensen, D., Erenstein, O., & Vanlauwe, B. (2015). Beyond conservation agriculture. Frontiers in plant science, 6, 870. https://doi.org/10.3389/fpls.2015.00870
Grabowski, P.P., Kerr, J.M., Haggblade, S. and Kabwe, S., (2016). Determinants of adoption and disadoption of minimum tillage by cotton farmers in eastern Zambia. Agriculture, Ecosystems & Environment, 231, pp.54-67. https://doi.org/10.1016/j.agee.2016.06.027
Gupta, A. K., Nair, S. S., Wajih, S. A., Chopde, S., Gupta, G., & Aggrawal, G. (2014). Mainstreaming climate change adaptation and disaster risk reduction into district level development plans. NIDM New Delhi (India), GEAG Gorakhpur (UP, India) and ISET, Colorado (US), P, 114. Retrieved from: https://www.researchgate.net/profile/Garima-Aggarwal-8/publication/287546336
Hirpha, H.H., Mpandeli, S. and Bantider, A., (2020). Determinants of adaptation strategies to climate change among the smallholder farmers in Adama District, Ethiopia. International Journal of Climate Change Strategies and Management, 12(4), pp.463-476. Retrieved from: https://www.emerald.com/insight/content/doi/10.1108/IJCCSM-01-2019-0002/full/html
Raikes, J., Smith, T. F., Baldwin, C., & Henstra, D. (2022). The influence of international agreements on disaster risk reduction. International Journal of disaster risk reductión, 76, 102999. https://doi.org/10.1016/j.ijdrr.2022.102999
Khoza, S., van Niekerk, D. and Nemakonde, L.D., (2022). Gendered vulnerability and inequality: understanding drivers of climate-smart agriculture dis-and non-adoption among smallholder farmers in Malawi and Zambia. Ecology and Society, 27(4). https://doi.org/10.5751/ES-13480-270419
Maher, C., Hadfield, M., Hutchings, M., & De Eyto, A. (2018). Ensuring rigor in qualitative data analysis: A design research approach to coding combining NVivo with traditional material methods. International journal of qualitative methods, 17(1), 1609406918786362. https://doi.org/10.1177/1609406918786
Makondo, C.C., Chola, K. and Moonga, B., (2014). Climate change adaptation and vulnerability: A case of rain dependent small-holder farmers in selected districts in Zambia. American Journal of Climate Change, 3(04), p.388. Retrieved from: https://www.scirp.org/html/4-2360196_52218.htm
Mubanga, K.H. and Umar, B.B., (2014). Smallholder farmers' responses to rainfall variability and soil fertility problems by the use of indigenous knowledge in Chipepo, Southern Zambia. Journal of Agricultural Science, 6(6), p.75. https:// DOI:10.5539/jas. v6n6p75
Mulenga, M. (2021). Government agricultural policy and rural poverty in Gwembe district of Southern province of Zambia, 1964-2011 (Doctoral dissertation, The University of Zambia). Retrieved from : http://dspace.unza.zm/handle/123456789/7496
Paton, D. and Johnston, D., (2017). Disaster resilience: an integrated approach. Charles C Thomas Publisher. https://books.google.com/books?hl
Saldarriaga, M., Nyanga, P.H. and Kopainsky, B., (2014). Dynamic decision making in coupled social–ecological systems. In 32nd international conference of the system dynamics society (pp. 20-24). Retrieved from: https://www.researchgate.net/profile/Birgit-Kopainsky/publication/281280672
Saunders, M.N., Lewis, P., Thornhill, A. and Bristow, A., (2015). Understanding research philosophy and approaches to theory development. Retrieved from: http://catalogue.pearsoned.co.uk/educator/product/Research-Methods-for-Business-Students/9781292016627
Savari, M., Shokati Amghani, M. (2021). Factors influencing farmers’ adaptation strategies in confronting the drought in Iran. Environ Dev Sustain 23, 4949–4972, https://doi.org/10.1007/s10668-020-00798-8
Shiferaw, B., Tesfaye, K., Kassie, M., Abate, T., Prasanna, B.M. and Menkir, A., (2014). Managing vulnerability to drought and enhancing livelihood resilience in sub-Saharan Africa: Technological, institutional and policy options. Weather and climate extremes, 3, pp.67-79. https://doi.org/10.1016/j.wace.2014.04.004
Khoza, S., van Niekerk, D., & Nemakonde, L. D. (2022). A Decade of Inaction in the SADC region? -disaster risk data gaps and inconsistencies on the Sendai Framework Monitor. Progress in Disaster Science, 16, 100250. https://doi.org/10.1016/j.pdisas.2022.100250
Susan L. Cutter, Joseph A. Ahearn, Bernard Amadei, Patrick Crawford, Elizabeth A. Eide, Gerald E. Galloway, Michael F. Goodchild, Howard C. Kunreuther, Meredith Li-Vollmer, Monica Schoch-Spana, Susan C. Scrimshaw, Ellis M. Stanley, Gene Whitney & Mary Lou Zoback, (2013). Disaster Resilience: A National Imperative, Environment: Science and Policy for Sustainable Development, 55:2, 25-29, DOI: 10.1080/00139157.2013.768076
Thinda, K.T., Ogundeji, A.A., Belle, J.A. and Ojo, T.O., (2020). Understanding the adoption of climate change adaptation strategies among smallholder farmers: Evidence from land reform beneficiaries in South Africa. Land Use Policy, 99, p.104858. https://doi.org/10.1016/j.landusepol.2020.104858
Tozier de la Poterie, A. and Baudoin, M.A., (2015). From Yokohama to Sendai: Approaches to participation in international disaster risk reduction frameworks. International Journal of Disaster Risk Science, 6, pp.128-139. Retrieved from : https://link.springer.com/article/10.1007/s13753-015-0053-6
Tsang, E. W. (2014). Generalizing from research findings: The merits of case studies. International Journal of Management Reviews, 16(4), 369-383. https://doi.org/10.1016/j.jsis.2013.09.002
Twigg, J., (2015). Disaster risk reduction. Retrieved from: http://bvpad.indeci.gob.pe/doc/pdf/esp/doc2601/doc2601-contenido.pdf
UNDRR, (2021). Droughts Or Floods. Retrieved from: https://www.preventionweb.net/news/droughts-or-floods
UNISDR. (2015). (United Nations International Strategy for Disaster Reduction). (2015). Sendai framework for disaster risk reduction 2015–2030. Geneva: UNISDR. Retrieved from: https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030
UNISDR. (2016b). HFA National Progress Reports. Retrieved from http://www.preventionweb.net/english/hyogo/progress/reports/?pid:222
Wanner, M.S., (2021). The effectiveness of soft law in international environmental regimes: participation and compliance in the Hyogo Framework for Action. International Environmental Agreements: Politics, Law and Economics, 21(1), pp.113-132. Retrieved from: https://link.springer.com/article/10.1007/s10784-020-09490-8
Wens, M.L., Mwangi, M.N., van Loon, A.F. and Aerts, J.C., (2021). Complexities of drought adaptive behaviour: Linking theory to data on smallholder farmer adaptation decisions. International Journal of Disaster Risk Reduction, 63, p.102435. https://doi.org/10.1016/j.ijdrr.2021.102435
Yin, R. K., (2013). Validity and generalization in future case study evaluations. Evaluation, 19(3), 321-332. https://doi.org/10.1177/1356389013497
Zamawe, F. C. (2015). The implication of using NVivo software in qualitative data analysis: Evidence-based reflections. Malawi Medical Journal, 27(1), 13-15. https://DOI:10.4314/mmj.v27i1.4
Zambia National Disaster Management Policy, (2015). DMMU, Lusaka, Zambia.
Zambia Vulnerability Assessment Committee Report (ZVAC) (2015), DMMU Lusaka Zambia,
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Artha Journal of Social Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.