Methodological Assessment and Cost-Efficiency Analysis of Smallholder Farm Systems in Nigeria Using Multilevel Regression Models

Smallholder farming systems in Nigeria are characterized by their diversity and complexity, with significant variations across different regions and socio-economic conditions. Multilevel regression analysis was employed to assess the cost-effectiveness of smallholder farming systems, considering both within-farm (micro) and farm (macro) variations. Random effects models were used to account for heterogeneity in farm productivity across different regions. The multilevel regression model revealed significant differences in cost-efficiency among different geographical areas, with a notable variation of up to 30% in the average cost-effectiveness index across northern and southern Nigeria. This study highlights the importance of accounting for regional variations when evaluating smallholder farm systems. The multilevel regression model provides a robust framework to measure cost-efficiency more accurately than traditional single-level models. Policy makers should consider implementing targeted interventions based on regional-specific cost-effectiveness indices, which could lead to more sustainable and equitable agricultural development in Nigeria. Smallholder farming, multilevel regression, cost-effectiveness, regional variations, Nigeria The empirical specification follows Y=β₀+β^ X+ε, and inference is reported with uncertainty-aware statistical criteria.