Recent studies have highlighted inefficiencies in manufacturing plant systems within Ugandan agriculture, leading to significant economic losses. The research employs a multilevel regression model to analyse data collected from multiple levels (e. g. , individual plant, field, regional) with robust standard errors estimated using bootstrapping techniques. A significant proportion of variance in plant efficiency was explained by the interaction between input usage and environmental conditions at both local and national scales. The multilevel regression analysis reveals that optimising resource allocation can lead to substantial efficiency gains, particularly when accounting for regional variability. Farmers and policymakers should implement targeted interventions based on this model to enhance agricultural productivity in Uganda. Ugandan agriculture, manufacturing plant systems, multilevel regression, efficiency gains The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Nalwanda et al. (Sat,) studied this question.