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1 Mogaka, B. O.; Bett, H. K.; Ng’ang’a, S. K. 2021. Socioeconomic factors influencing the choice of climate-smart soil practices among farmers in western Kenya. Journal of Agriculture and Food Research, 5:100168. (Online first) [doi: https://doi.org/10.1016/j.jafr.2021.100168]
Soil management ; Agricultural practices ; Climate-smart agriculture ; Socioeconomic aspects ; Farmers ; Climate change mitigation ; Agricultural productivity ; Agroforestry ; Inorganic fertilizers ; Intercropping ; Soil fertility ; Liming ; Crops ; Households / Kenya / Kakamega / Bungoma / Siaya
(Location: IWMI HQ Call no: e-copy only Record No: H050422)
https://www.sciencedirect.com/science/article/pii/S2666154321000703/pdfft?md5=810b9e22b2183935482b8bec402e62aa&pid=1-s2.0-S2666154321000703-main.pdf
https://vlibrary.iwmi.org/pdf/H050422.pdf
(1.34 MB) (1.34 MB)
The effects of climate change and variability cause a shift in climatic patterns and increasing shocks. These changes and shocks are affecting soil that is the backbone of many, particularly the farming communities. Climate-Smart soil (CSS) practices among farmers are known to rehabilitate and protect it. These practices will improve soil fertility, increase crop productivity and mitigate climate change as soil act as carbon sinks. The CSS practices uptake is low and varied among the farmers due to differences in farmer attributes, resource endowment, farm characteristics, CSS practice requirements, and climate change perceptions. This study examines the socio-economic factors that influence the adoption choice of CSS practices among farmers in three Counties: Kakamega, Bungoma, and Siaya, in western Kenya. Using a multi-stage sampling technique, the data was collected through structured interviews with the aid of a close-ended questionnaire. A multinomial logit model was used to analyze the socio-economic factors influencing the choice of CSS practice among farmers. The findings indicate that the household head age, education level, gender, farming experience, duration of the practice, farm size, plot size, number of plots in the farm, form of land ownership influenced the adoption of CSS practices. Therefore, development practitioners should consider these factors that inform the CSS practices adoption when rolling out programs that aim to increase the uptake. Policies, which improve agricultural education levels, climate change sensitization and financing, access to resources, and gender mainstreaming to address inequalities should be put in place to increase and bridge the gap of varied uptake of CSS practices among farmers.

2 Ngigi, M. W.; Muange, E. N. 2022. Access to climate information services and climate-smart agriculture in Kenya: a gender-based analysis. Climatic Change, 174(3-4):21. [doi: https://doi.org/10.1007/s10584-022-03445-5]
Climate-smart agriculture ; Climate services ; Information services ; Access to information ; Gender analysis ; Climate change adaptation ; Strategies ; Women ; Smallholders ; Farmers ; Social groups ; Weather forecasting ; Early warning systems ; Food security ; Agroforestry ; Models ; Econometrics / Kenya / Embu / Nakuru / Nyeri / Siaya
(Location: IWMI HQ Call no: e-copy only Record No: H051427)
https://vlibrary.iwmi.org/pdf/H051427.pdf
(0.78 MB)
Climate change is a significant threat to agriculture-related livelihoods, and its impacts amplify prevailing gender inequalities. Climate information services (CIS) are crucial enablers in adapting to climate change and managing climate-related risks by smallholder farmers. Even though various gender groups have distinct preferences, understandings, and uses of CIS, which affect adaptation decisions differently, there is little research on gender perspectives of CIS. This study employs a novel intra-household survey of 156 married couples to evaluate the gender-differentiated effects of CIS access on the adoption of climate-smart agriculture (CSA) technologies in Kenya. The findings reveal gender differences in access to CIS, with husbands having significantly more access to early warning systems and advisory services on adaptation. In contrast, wives had better access to weather forecasts. About 38% of wives perceived that CIS meets their needs, compared to 30% of husbands. As for CIS dissemination pathways, husbands preferred extension officers, print media, television, and local leaders, whereas wives preferred radio and social groups. Recursive bivariate probit analysis shows that trust in CIS, a bundle of CIS dissemination pathways, access to credit, and membership in a mixed-gender social group, affected access to CIS for both genders. Access to early warning systems and advisory services positively affected decisions to adopt CSA by both genders. Still, access to seasonal forecasts influenced husbands’ decisions to adopt CSA but not wives. Besides, there were gender differences in how CIS affected each CSA technology based on gendered access to resources and roles and responsibilities in a household. It is necessary to disseminate CIS through gender-sensitive channels that can satisfy the needs and preferences of different gender groups to encourage the adoption of climate-smart technologies.

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