Impact of Climate-Smart Practices on Smallholder Maize Markets: Design, Implementation, Evaluation

Thesis Abstract

Smallholder maize production and marketing systems in sub-Saharan Africa are increasingly exposed to climate variability, which undermines yield stability, input affordability, and market access. This study investigates the design, implementation, and evaluation of climate-smart practices (CSPs) and their effects on smallholder maize markets, addressing the gap between agronomic gains and market performance. The aim is to assess how CSPs influence productivity, input efficiency, yield risk, and market access, and to identify enabling conditions for scalable adoption. Specific objectives are (i) to design an integrated CSP package comprising improved seed varieties, soil and water management technologies, and risk-hedging mechanisms; (ii) to implement a pilot CSP program with trained farmer groups and market actors across three districts with contrasting agro-ecologies; (iii) to evaluate impacts on yield, production costs, input use efficiency, price realization, and access to credit and markets; (iv) to examine barriers and enablers to adoption using stakeholder perceptions; and (v) to formulate policy and institutional recommendations for scaling CSPs in maize value chains. The study employs a mixed-methods design anchored in the resource-based view and diffusion of innovations theory, complemented by the behavioral change framework to understand adoption dynamics. A quasi-experimental design with a matched-parmetric approach compares CSP-treated plots and control plots over two cropping seasons (with a third season for sustainability checks). The population comprises smallholder maize farmers (n?1,200) and key market actors in grain markets, with 600 farmers selected for treatment and 600 as controls matched on farm size, soil type, and baseline productivity. Data collection combines structured household surveys ( Baseline n=1,200; endline n=1,200), enterprise records from input suppliers and grain buyers, GPS-enabled plot-level measurements, and focus group discussions with farmers, traders, and agro-dealers. Instruments include a validated CSP adoption questionnaire, a crop yield and cost-tracking log, and semi-structured interview guides for qualitative insights. Data quality is ensured through pilot testing, triangulation, and Cronbach’s alpha reliability checks (??0.7) for survey scales. Quantitative analysis uses difference-in-differences (DiD) to estimate impacts on yields, gross margins, and input efficiency, augmented by propensity score matching to address selection bias. Regression analyses examine determinants of CSP adoption, including access to credit, extension services, and risk preferences. Market-level effects are analyzed with hedonic price models and spatial price dispersion measurements to assess price realization and marketing efficiency. Qualitative data are analyzed thematically using NVivo, with coding aligned to the diffusion of innovations theory constructs (relative advantage, compatibility, complexity, trialability, observability) and stakeholder-reported barriers. A policy- and institution-centered synthesis triangulates quantitative findings with qualitative insights to identify levers for scale. Expected findings anticipate that CSP adoption will improve maize yields by 12–25%, reduce production costs per unit by 8–15%, and enhance gross margins by 10–18% relative to controls, with reductions in yield variance indicating improved risk management. Market impacts are expected to include higher price realization due to better grain quality, reduced post-harvest losses, and enhanced access to formal credit and input markets. Adoption determinants are likely to include extension intensity, group-based delivery models, and farmer risk perceptions, while barriers may involve capital constraints, initial transition costs, and credit access gaps. The study contributes to knowledge by integrating agronomic CSPs with market performance metrics within a rigorous quasi-experimental framework, bridging the gap between field-level interventions and value-chain outcomes. It advances theories on climate-smart agriculture adoption and market transitivity by linking diffusion constructs to measurable market gains in smallholder maize systems. The main conclusion is that well-designed CSPs, when embedded in farmer organizations and supported by targeted extension and credit facilities, can simultaneously enhance productivity and market performance, thereby improving resilience and income stability for smallholder maize producers. Recommendations emphasize scalable CSP packages with cost-sharing financing, value-chain coordination among traders and processors, investment in climate-informed market intelligence systems, and policy reforms to expand affordable credit, strengthen extension reach, and incentivize data-driven market facilitation. Further research should explore long-run sustainability, multi-season impacts, and cross-regional transferability of CSP packages.