
Enhanced food and nutrition security remains a major challenge for many Kenyan communities. Consequently, government is introducing interventions to accelerate the introduction of novel innovations such as integrated crop-livestock farming in dry areas of Kenya. However, studies that explore the influence of group dynamics, gender roles, and community norms on adoption and implementation of such interventions and provide evidence for improving uptake are limited.
An assessment of factors influencing the adoption and implementation of improved dairy goats and climate-smart crops among farmers in Elgeyo Marakwet County will be undertaken. A descriptive cross-sectional survey utilising a mixed-methods approach will be undertaken among farmers practising integrated farming. A thematic questionnaire will be used to collect quantitative data, while key informant interviews and focus groups discussions will be used for the qualitative portion of the research. This study will utilise a multi-stage sampling procedure and the sample size will be determined using the Krejcie and Morgan table. Quantitative data will be analysed using SPSS software and subjected to descriptive and inferential statistics, while qualitative data will be analysed using N-vivo software through the Framework Analysis method. The value addition scores will be subjected to analysis of variance using Genstat. The generated findings will be used to help develop a feedback report.
The key findings of this study will serve as baseline data that can help inform policy on the indicators contributing to adoption of a crop-dairy goat integration system and value-addition techniques to enhance food and nutrition security.
To read the policy brief on this project, click here