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This household survey was conducted among 88 respondents by CIAT in three counties of western Kenya (Bungoma, Kakamega, and Siaya) in 2016. The main aim of the project was to conduct a cost benefit analysis of eight climate-smart soil (CSS) practices, as a step toward understanding whether they w...


Karanja Ng'ang'a, StanleyMwungu, Chris MiyinziMwongera, CarolineKinyua, IvyNotenbaert, An Maria OmerGirvetz, Evan H.[Household Survey Data on Cost Benefit Analysis of Climate-Smart Soil Practices in Western Kenya]Household Survey Data on Cost Benefit Analysis of Climate-Smart Soil Practices in Western Kenya

The objective of organizing this dataset was to measure farmers’ attitudes and assess determinants of adaptation to climate risks in East Africa. This dataset comprises information about farmers’ adaptation strategies to climate risks in four CCAFS sites in east Africa, namely Nyando, Kenya; Hoim...


Shikuku, K.M.Winowiecki, Leigh A.Twyman, JenniferEitzinger, AntonPérez, Juan G.Mwongera, CarolineLäderach, Peter[Replication Data for: Smallholder farmers’ attitudes and determinants of adaptation to climate risks in East Africa]Replication Data for: Smallholder farmers’ attitudes and determinants of adaptation to climate risks in East Africa

The overall project goal is to improve food security and farming system resilience of smallholder mixed crop-livestock farmers in East Africa while mitigating climate change through wide-scale adoption of climate-smart agriculture (CSA). The project integrates interdisciplinary approaches, includ...


Winowiecki, Leigh A.Läderach, PeterMwongera, CarolineTwyman, JenniferMashisia, KelvinOkolo, WendyEitzinger, AntonRodríguez, Beatriz[Increasing Food Security and Farming System Resilience in East Africa through Wide-Scale Adoption of Climate-Smart Agricultural Practices]Increasing Food Security and Farming System Resilience in East Africa through Wide-Scale Adoption of Climate-Smart Agricultural Practices

This paper describes data that were collected in three counties of western Kenya, namely Siaya, Bungoma, and Kakamega. The main aim of collecting the data was to assess the climate smartness, profitability and returns of soil protection and rehabilitation measures. The data were collected from 88...


Karanja Ng'ang'a, StanleyMwungu, Chris MiyinziMwongera, CarolineKinyua, IvyNotenbaert, An Maria OmerGirvetz, Evan H.[Survey data on cost and benefits of climate smart agricultural technologies in western Kenya]Survey data on cost and benefits of climate smart agricultural technologies in western Kenya

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