Multilevel regression analysis assesses cost-effectiveness in smallholder farming systems, suggesting irrigation investments for improved productivity.
Smallholder farming systems in South Africa are characterized by significant variability in productivity and resource use efficiency. A multilevel regression model was employed to analyse data from 100 randomly selected smallholder farms across South Africa. The model accounts for both farm-level and district-level variations in productivity. The multilevel analysis revealed that access to irrigation significantly increased crop yield by an average of 25% compared to non-irrigated farms, with a confidence interval of ±4% Multilevel regression provides a robust framework for assessing cost-effectiveness in smallholder farming systems, highlighting the importance of resource management strategies. Farmers and policymakers should prioritise investment in irrigation infrastructure to enhance productivity and profitability. The empirical specification follows Y=β₀+β^ X+ε, and inference is reported with uncertainty-aware statistical criteria.
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Dlamini et al. (2011) studied this question.
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