Socioeconomic factors influencing adoption of climate-smart agriculture technologies by smallholder farmers in semi-arid areas, Tanzania
Paper Details
Socioeconomic factors influencing adoption of climate-smart agriculture technologies by smallholder farmers in semi-arid areas, Tanzania
Abstract
Climate change poses significant challenges to agricultural productivity and food security, particularly in developing countries where agriculture remains a critical livelihood source. In response, climate-smart agriculture technologies (CSATs) have emerged as vital tools to enhance resilience and sustainability in farming systems. This study investigates the socioeconomic factors influencing the adoption of CSATs, with a focus on maize-common bean intercropping systems among smallholder farmers in the semi-arid districts of Singida Rural, Babati, and Kondoa in Tanzania. A mixed-methods approach was employed, combining a structured questionnaire survey with 240 smallholder farmers, focus group discussions, key informant interviews, and document reviews to ensure data triangulation. Quantitative data were analyzed using descriptive statistics and logistic regression through the Statistical Package for Social Sciences (SPSS). The results indicate that several socioeconomic variables significantly influence the adoption of maize-common bean intercropping as a CSAT. These include gender, age, level of education, household size, farm size, access to extension services, and availability of agricultural credit. Male-headed households and farmers with better access to information and resources were more likely to adopt CSATs. The findings underscore the need for policy frameworks and development interventions that address these critical socioeconomic barriers to adoption. Strengthening institutional support, improving access to extension and credit services, and enhancing farmer education and awareness are recommended to foster widespread adoption of CSATs. Ultimately, promoting inclusive adoption strategies to enhance agricultural resilience, improve food security, and contribute to sustainable rural livelihoods in Tanzania’s semi-arid regions.
Agarwal T, Goel PA, Gartaula H, Rai M, Bijarniya D, Rahut DB, Jat ML. 2022. Gendered impacts of climate-smart agriculture on household food security and labor migration: Insights from Bihar, India. International Journal of Climate Change Strategies and Management 14(1), 1–19. https://doi.org/10.1108/IJCCSM-01-2020-0004
Agbenyo W, Jiang Y, Jia X, Wang J, Ntim-Amo G, Dunya R, Siaw A, Asare I, Twumasi MA. 2022. Does the adoption of climate-smart agricultural practices impact farmers’ income? Evidence from Ghana. International Journal of Environmental Research and Public Health 19(7). https://doi.org/10.3390/ijerph19073804
Ayinu YT, Ayal DY, Zeleke TT, Beketie KT. 2022. Impact of climate variability on household food security in Godere District, Gambella Region, Ethiopia. Climate Services 27. https://doi.org/10.1016/j.cliser.2022.100307
Balogun VS, Onokerhoraye AG. 2022. Climate change vulnerability mapping across ecological zones in Delta State, Niger Delta Region of Nigeria. Climate Services 27. https://doi.org/10.1016/j.cliser.2022.100304
Bett PE, Thornton HE, Troccoli A, De Felice M, Suckling E, Dubus L, Saint-Drenan YM, Brayshaw DJ. 2022. A simplified seasonal forecasting strategy, applied to wind and solar power in Europe. Climate Services 27. https://doi.org/10.1016/j.cliser.2022.100318
Bremer S, Bremer A, Iversen L, Bruno Soares M, van der Sluijs J. 2022. Recognising the social functions of climate services in Bergen, Norway. Climate Services 27. https://doi.org/10.1016/j.cliser.2022.100305
Etikan I. 2016. Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics 5(1), 1. https://doi.org/10.11648/j.ajtas.20160501.11
Hussein A. 2024. Climate smart agriculture strategies for enhanced agricultural resilience and food security under a changing climate in Ethiopia. Sustainable Environment 10(1). https://doi.org/10.1080/27658511.2024.2345433
Jones K, Nowak A, Berglund E, Grinnell W, Temu E, Paul B, Renwick LLR, Steward P, Rosenstock TS, Kimaro AA. 2023. Evidence supports the potential for climate-smart agriculture in Tanzania. Global Food Security 36. https://doi.org/10.1016/j.gfs.2022.100666
Kakzan D, Arslan A, Lipper L. 2013. Climate-smart agriculture. A review of current practice of agroforestry and conservation agriculture. www.fao.org/economic/esa
Kangalawe RYM, Lyimo JG. 2013. Climate change, adaptive strategies and rural livelihoods in semiarid Tanzania. Natural Resources 4(3), 266–278. https://doi.org/10.4236/nr.2013.43034
Kassa BA, Abdi AT. 2022. Factors influencing the adoption of climate-smart agricultural practice by small-scale farming households in Wondo Genet, Southern Ethiopia. SAGE Open 12(3). https://doi.org/10.1177/21582440221121604
Kombat R, Sarfatti P, Fatunbi OA. 2021. A review of climate-smart agriculture technology adoption by farming households in Sub-Saharan Africa. Sustainability 13(21). https://doi.org/10.3390/su132112130
Kurgat BK, Lamanna C, Kimaro A, Namoi N, Manda L, Rosenstock TS. 2020. Adoption of climate-smart agriculture technologies in Tanzania. Frontiers in Sustainable Food Systems 4(May). https://doi.org/10.3389/fsufs.2020.00055
Lee M. n.d. Summary of Durbin-Watson model. November 2021.
Luhunga PM, Kijazi AL, Chang’a L, Kondowe A, Ng’ongolo H, Mtongori H. 2018. Climate change projections for Tanzania based on high-resolution regional climate models from the Coordinated Regional Climate Downscaling Experiment (CORDEX)-Africa. Frontiers in Environmental Science 6(October), 1–20. https://doi.org/10.3389/fenvs.2018.00122
Mizik T. 2021. Climate-smart agriculture on small-scale farms: A systematic literature review. Agronomy 11(6). https://doi.org/10.3390/agronomy11061096
Mnukwa ML, Mdoda L, Mudhara M. 2025. Assessing the adoption and impact of climate-smart agricultural practices on smallholder maize farmers’ livelihoods in Sub-Saharan Africa: A systematic review. Frontiers in Sustainable Food Systems 9(February), 1–22. https://doi.org/10.3389/fsufs.2025.1543805
Mthethwa KN, Ngidi MSC, Ojo TO, Hlatshwayo SI. 2022. The determinants of adoption and intensity of climate-smart agricultural practices among smallholder maize farmers. Sustainability 14(24). https://doi.org/10.3390/su142416926
Musafiri CM, Kiboi M, Macharia J, Ng’etich OK, Kosgei DK, Mulianga B, Okoti M, Ngetich FK. 2022. Adoption of climate-smart agricultural practices among smallholder farmers in Western Kenya: Do socioeconomic, institutional, and biophysical factors matter? Heliyon 8(1), e08677. https://doi.org/10.1016/j.heliyon.2021.e08677
Negera M, Alemu T, Hagos F, Haileslassie A. 2022. Determinants of adoption of climate smart agricultural practices among farmers in Bale-Eco region, Ethiopia. Heliyon 8(7), e09824. https://doi.org/10.1016/j.heliyon.2022.e09824
Nkumulwa HO, Pauline NM. 2021. Role of climate-smart agriculture in enhancing farmers’ livelihoods and sustainable forest management: A case of villages around Songe-Bokwa Forest, Kilindi District, Tanzania. Frontiers in Sustainable Food Systems 5(August), 1–15. https://doi.org/10.3389/fsufs.2021.671419
Oppong E, Opoku A, Tuffour HO, Snr APP, Kyere CG. 2021. Climate change and climate-smart agricultural practices: Opportunities and challenges in the semi-deciduous region of Ghana. International Journal of Environment and Climate Change, 100–110. https://doi.org/10.9734/ijecc/2021/v11i630426
Pallant J. 2005. SPSS survival manual: A step-by-step guide to data analysis using SPSS for Windows (Version 12).
Partey ST, Zougmoré RB, Ouédraogo M, Thevathasan NV. 2017. Why promote improved fallows as a climate-smart agroforestry technology in Sub-Saharan Africa? Sustainability 9(11). https://doi.org/10.3390/su9111887
Rai N, Thapa B. 2019. A study on purposive sampling method in research. Kathmandu: Kathmandu School of Law, 1–12. http://stattrek.com/survey-research/sampling-methods.aspx?Tutorial=AP,%0Ahttp://www.academia.edu/28087388
Raji E, Ijomah TI, Eyieyien OG. 2024. Improving agricultural practices and productivity through extension services and innovative training programs. International Journal of Applied Research in Social Sciences 6(7), 1297–1309. https://doi.org/10.51594/ijarss.v6i7.1267
Schreuder HT, Gregoire TG, Weyer JP. 2001. For what applications can probability and non-probability sampling be used? Environmental Monitoring and Assessment 66(3), 281–291. https://doi.org/10.1023/A:1006316418865
Shen L, Wen J, Zhang Y, Ullah S, Cheng J, Meng X. 2022. Changes in population exposure to extreme precipitation in the Yangtze River Delta, China. Climate Services 27. https://doi.org/10.1016/j.cliser.2022.100317
Summary T. 2023. Technical summary. In Climate Change 2022- Mitigation of Climate Change. https://doi.org/10.1017/9781009157926.002
Thierfelder C, Chivenge P, Mupangwa W, Rosenstock TS, Lamanna C, Eyre JX. 2017. How climate-smart is conservation agriculture (CA)? – Its potential to deliver on adaptation, mitigation and productivity on smallholder farms in southern Africa. Food Security 9(3), 537–560. https://doi.org/10.1007/s12571-017-0665-3
Wadood F, Akbar F, Ullah I. 2021. The importance and essential steps of pilot testing in management studies: A quantitative survey results. Journal of Contemporary Issues in Business and Government 27(5), 2021.
Yusuph AS, Nzunda EF, Mourice SK, Dalgaard T. 2023. Usage of agroecological climate-smart agriculture practices among sorghum and maize smallholder farmers in semi-arid areas in Tanzania. East African Journal of Agriculture and Biotechnology 6(1), 378–406. https://doi.org/10.37284/eajab.6.1.1490
George Mbyazita Karwani, Mashamba Philipo, Akida I. Meya, Mamo A. Teshale (2025), Socioeconomic factors influencing adoption of climate-smart agriculture technologies by smallholder farmers in semi-arid areas, Tanzania; IJAAR, V26, N5, May, P14-25
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