Evaluating Smallholder Farm Systems in Nigeria: A Panel Data Approach to Assess Cost-Effectiveness

Smallholder farming in Nigeria is a significant sector of the economy but faces challenges related to efficiency and sustainability. A mixed-method approach combining quantitative panel data from 50 randomly selected farms over three years was employed to estimate parameters using a fixed effects regression model. Uncertainty in parameter estimates is accounted for by robust standard errors. Panel-data analysis revealed that input-output ratios varied significantly across seasons, with seasonal variations explaining approximately 20% of the total variation in yields. The study supports the use of panel data for cost-effectiveness assessments, particularly when examining resource allocation patterns over time. Further research should focus on integrating qualitative insights to complement quantitative findings and explore policy implications for enhancing smallholder farm productivity. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.