Impact of Climate Variability on Smallholder Maize Marketing Efficiency in Kenya

Thesis Abstract

Smallholder maize marketing in Kenya is increasingly exposed to climate variability, which threatens price realization, market participation, and timely sale of harvests. The study addresses the problem that erratic rainfall, temperature fluctuations, and extreme weather events disrupt harvest calendars, reduce maize quality, and constrain smallholders’ access to markets and trading opportunities. The aim is to evaluate how climate variability influences marketing efficiency among smallholder maize farmers and to identify policy and institutional channels that mitigate adverse effects. Specific objectives are (i) to quantify the relationship between climate variability indicators (rainfall deviation, temperature anomalies, and drought indices) and marketing efficiency (price realization, transaction frequency, and time-to-sell); (ii) to assess the role of market infrastructure, information access, and credit in mediating climate impacts; (iii) to determine differential effects across agro-ecological zones and farm sizes; and (iv) to generate policy-relevant recommendations to enhance resilience of maize marketing systems. A mixed-methods design is employed, integrating quantitative and qualitative approaches to capture both measurable associations and contextual insights. The study population comprises smallholder maize farmers and maize marketing agents across pastoral, semi-arid, and highland zones of Kenya. A multi-stage stratified sampling strategy yields 600 farmer respondents and 40 marketing agents, selected through random sampling within stratum, complemented by 20 key informants from maize sector organizations. Quantitative data are collected via structured questionnaires capturing farm characteristics, climatic variables (historical rainfall, temperature data from Kenya Meteorological Department, and drought indices), marketing outcomes (sale price, volume sold, marketing margins, and time-to-sale), and mediating factors (market information access, credit access, and infrastructural quality). Qualitative data are obtained through 24 in-depth interviews with traders and cooperative leaders and 6 focus group discussions with farmer groups to explore nuanced mechanisms. Data analysis proceeds in two strands. Quantitative analysis uses panel data methods to control for temporal and spatial heterogeneity, including fixed-effects regression to estimate the impact of climate variability on marketing efficiency indicators, complemented by instrumental variable approaches to address endogeneity. Mediation analysis tests whether information access, credit, and infrastructure dilute climate effects. A robust set of diagnostic tests (heteroskedasticity-robust standard errors, multicollinearity checks) ensures inference reliability. Qualitative data are analyzed thematically using a deductive-inductive coding frame anchored in behavioral economic and institutional theory, with triangulation to corroborate quantitative findings. The study integrates theories of risk, behavioral decision-making, and institutional resilience, notably Gabriel Almond and James Coleman’s social capital concepts, and the Sustainable Livelihoods Framework to interpret how climate risks translate into marketing outcomes. Expected findings indicate a negative and statistically significant effect of climate variability on marketing efficiency, manifested as reduced price realization, increased time-to-sale, and narrower marketing margins during drought years and heat-stress periods. The mitigating roles of reliable market information, access to affordable credit, and functional market infrastructure are anticipated to be strong but context-dependent, with more pronounced effects in semi-arid zones and among small plot holders. Interaction effects are expected between climate shocks and market access variables, highlighting that resilience is contingent on both climatic exposure and institutional support. The study contributes to knowledge by integrating climate science with agricultural marketing economics to quantify the transmission channels from climate variability to marketing performance and by identifying leverage points for policy and practice. It offers evidence-based guidance for farmers, extension services, and policymakers on prioritizing investments in information systems, risk-sharing credit mechanisms, and market infrastructure to bolster maize marketing resilience. The main conclusion posits that climate variability substantially undermines marketing efficiency in Kenya’s smallholder maize sector, but well-designed information, finance, and infrastructure interventions can substantially attenuate adverse effects; recommended actions include expanding mobile-based market information platforms, enabling weather-indexed credit schemes, and upgrading rural market links to reduce transaction costs and enhance price realization during climate shocks.