Integration of climate information in farm-level adaptation decision is crucial to manage climate change induced risks. The Government of Kenya is mandated to manage and disseminate climate information to enhance adaptation to climate change. However, the use of climate information on farm-level adaptation has not been explored. The purpose of this study was to: identify the climate information accessed by farmers, establish the association between using climate information and the adaptation strategies adopted, examine the factors influencing adaptation decisions, find out how climate information were used and the benefits and constraints of using the information . Data was collected from 432 households randomly selected from semi-arid areas in Machakos, Makueni and Kitui counties. The Multivariate probit model was used to analyse data. The results showed that farmers accessed short and medium-term forecasts; decadal forecasts and agrometeorological advisories. There was a significant association between using climate information and the climate change adaptation strategies adopted by the farmers. Demographic, socio-economic and institutional factors significantly influenced farmers’ adaptation decisions. Farmers used the climate information for tactical, short-term farm operations. Benefits of using climate information were manifested in reduced crop loss, increased yield and farm revenue. However, farmers’ use of climate information was constraint by economic and technical factors. The study recommends that the Government enforces policies that empowers farmers to access the requisite farm inputs and facilitate the provision of agrometeorological advisories to increase local-level utility of climate information. The Government should formulate and implement policies that strengthen the provision of timely, simplified and adequately actionable climate information that suit farmers‘ climate change adaptation needs.

This paper examines the adoption of improved pigeon peas in female-headed households (FHHs) and male-headed households (MHHs) in semi-arid Kenya and its effect on yield as a proxy for household food security. Cross-sectional data were obtained from 450 households through a multi-stage sampling approach. We applied the endogenous switching regression model to establish the determinants of adoption decision and their effects on yield. Results showed that adoption increased crop yield. The adopting MHHs had significantly higher yield compared with the FHHs. The difference in yield was explained by both observed and unobserved characteristics in gender of the household head.

Purpose: In Kenya, small holder farmers face climate change related challenges. It is therefore imperative to enhance adaptive capacity through climate smart agricultural (CSA) technologies. Access to finance is a significant enabler for adoption of CSA technologies yet small holder farmers, especially women, have an acute financing gap for agriculture. The purpose of the study was to characterize existing rural finance markets that can enhance adoption of Climate smart agricultural technologies among small holder farmers in Kenya and also improve the participation of other agricultural value chain actors in climate smart agricultural technologies. This was to enhance a better understanding of existing rural financial services available to agricultural value chain actors and the potential of the financial institutions to increase credit access to the value chain actors. Methodology: The study used cross sectional data gathered through questionnaires administered on farmers, rural financial institutions and other actors in eight, Kenya Climate Agricultural Project (KCSAP) counties in Kenya. Data was analyzed using Stata statistical package and presented using tables and figures. Findings: Rotating and savings credit associations (ROSCAs) were the main credit source for most households. Findings revealed that farmers rarely access insurance for their farming activities. Unlike farmers, other actors for instance, agro processors and agro dealers get loans through mobile phones where short term loans were borrowed from different providers. Majority of financial institutions were serving agricultural sector. Unique Contribution to Theory, Practice and Policy: The study had presumed that access to rural financial market services by value chain actors in climate smart technologies for crops and livestock will be enhanced and this will increase adoption in the target Counties. The theory or assumption was validated in a workshop by all stakeholders which was followed up by linking up the value chain actors and the financial institutions through capacity building forums. Financial institutions could leverage on existing models used by ROSCAs to increase access to rural financial services especially by women and youth. A gender-transformative approach should be considered to increase women access to rural financial services.