A Stochastic Frontier Analysis of Technical Efficiency in Maize Production Systems: Evidence from Busia County, Kenya
Keywords:
Technical efficiency, stochastic frontier analysis, maize production, Busia CountyAbstract
Maize production remains a cornerstone of food security and rural livelihoods in Kenya, particularly in agro-ecologically vulnerable regions such as Busia County. Despite its importance, productivity levels among smallholder farmers remain below potential due to inefficiencies in resource utilization, limited access to modern inputs, and structural constraints in agricultural systems. This study applies a stochastic frontier analysis (SFA) framework to evaluate the technical efficiency of maize production systems in Busia County, Kenya, with the aim of identifying efficiency gaps and their determinants.
Using the theoretical foundations of production efficiency measurement as outlined by Alene (2007), the study conceptualizes maize production as a function of multiple inputs, including land, labor, fertilizer, and seed quality, while accounting for stochastic shocks and inefficiency effects. The study further integrates empirical insights from efficiency literature in African agriculture to contextualize productivity disparities across smallholder systems.
Findings from synthesized literature suggest that inefficiencies are driven by inadequate input use, credit constraints, and institutional weaknesses in extension services. The stochastic frontier approach provides a robust analytical tool for separating random shocks from inefficiency effects, thereby offering policy-relevant insights for improving maize productivity.
The study concludes that enhancing technical efficiency through targeted interventions in input access, farmer education, and market integration could significantly improve maize output and food security outcomes in Busia County.
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