Assessing Climate Risk Insurance in Kenya's Smallholder Cocoa Sector: A Case Study

Thesis Abstract

Climate risk is a defining constraint on cocoa production in Kenya, disproportionately affecting smallholder farmers who rely on rain-fed systems and single-year harvests. Yet, access to affordable, scalable insurance mechanisms remains limited, hindered by basis risk, low financial literacy, premium affordability, and governance challenges within existing agricultural risk pools. This study aims to assess the effectiveness, uptake, and contextual fit of climate risk insurance (CRI) for Kenya’s smallholder cocoa sector, with a view to informing policy and program design for improved resilience and income stability. The primary objective is to evaluate how CRI products influence yield volatility, revenue stabilization, and risk coping strategies among smallholder cocoa farmers, and to identify barriers to adoption and pathways to uptake. Specific objectives include (i) analyzing farmers’ perceptions of climate risk and insurance value; (ii) estimating the impact of CRI participation on cocoa income and production decisions; (iii) examining insurer-farmer governance and product design features (premiums, coverage, payout triggers) that affect eligibility and satisfaction; (iv) assessing the role of credence and financial literacy in decision-making; and (v) recommending scalable CRI design and delivery modalities suitable for Kenyan cocoa value chains. The study adopts a mixed-methods explanatory design, integrating quantitative and qualitative data to triangulate findings. The population comprises registered smallholder cocoa farmers in Kakamega, Kisii, and Murang’a counties, totaling approximately 12,000 farmers. A stratified multistage sampling approach will select 400 farmer households for quantitative surveys, complemented by 40 in-depth interviews with farmers, 12 focus groups with Cooperative Society representatives, and 8 semi-structured interviews with insurers, extension agents, and policymakers. Data collection instruments include a structured questionnaire capturing farm characteristics, production history, climate exposure, insurance awareness, and financial outcomes; interview and focus group guides to explore perceptions, governance, and delivery channels. Validity and reliability will be ensured through pre-testing, pilot studies, and triangulation of survey data with administrative records from sponsoring insurers and cocoa boards. Data analysis will apply descriptive statistics and multivariate techniques, including propensity score matching to estimate the average treatment effect of CRI participation on income and yield, and regression analyses to identify determinants of insurance uptake. Thematic analysis will interpret qualitative data, guided by Protection Motivation Theory and the Theory of Planned Behavior to explain adoption and behavioural responses. A conceptual model will map the relationships among climate risk exposure, insurance design attributes, farmer literacy, and outcome variables. Expected findings include (i) CRI reduces revenue volatility for participating households, with statistically significant improvements in monthly and seasonal cash flows; (ii) premium affordability and payout timeliness are critical determinants of adoption, moderated by farmers’ risk perceptions and financial literacy; (iii) basis risk and product misalignment with local climate patterns limit satisfaction and retention, suggesting the need for index-based triggers harmonized with regional microclimates; (iv) credible governance and farmer-beneficiary trust in insurers enhance uptake, with strong cooperative governance facilitating access to CRI products; and (v) scalable delivery models leveraging digital payments, mobile platforms, and farmer field schools improve penetration. The study contributes to knowledge by empirically evidencing the performance of climate risk insurance in a sub-Saharan African cocoa context, informing design principles for index-based products tailored to smallholders, and outlining implementation arrangements that enhance uptake, affordability, and risk transfer effectiveness. Policy implications include recommendations for subsidy regimes or blended financing to reduce premium burdens, standardized guidance on trigger design to minimize basis risk, and capacity-building initiatives to improve financial literacy and risk awareness among farmers. The conclusion highlights that CRI can be a valuable component of resilience strategies if paired with robust governance, inclusive delivery channels, and climate-informed product design, and recommends policy-supportive frameworks, targeted extension services, and pilot-practice integration with existing cocoa value chain mechanisms to scale up adoption.