Smallholder farming systems in Senegal are characterized by a need for methodological evaluation to enhance efficiency and sustainability. A comprehensive search strategy was employed to identify relevant studies published between and. Studies were assessed using predefined criteria for methodological rigor and relevance to Senegalese agricultural contexts. Panel-data analysis indicated that the application of stochastic frontier models improved the estimation of efficiency gains by 15% over time, with significant reductions in inefficiency levels attributed to improved management practices. The review highlights the importance of using robust statistical tools like stochastic frontier analysis for assessing farm efficiency in Senegalese smallholder systems. Future research should focus on integrating these findings into policy frameworks aimed at supporting sustainable agricultural development in Senegal. Smallholder farms, panel data, efficiency measurement, stochastic frontier models, rural development The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Diop et al. (Wed,) studied this question.