Mixed-methods analysis reveals cost differences in machinery efficiency across sectors in Uganda, suggesting policy incentives for improvements.
Industrial machinery fleets play a crucial role in the Ugandan economy by facilitating various sectors such as manufacturing and construction. A mixed-method approach was employed, combining quantitative analysis with qualitative insights from interviews and surveys. Panel data were collected using a structured questionnaire to assess fleet performance across different industries. The study revealed that the average cost per unit of machinery in agricultural sectors is $100 higher compared to manufacturing, highlighting significant variations in operational efficiency. This research underscores the importance of regular maintenance and upgrading for industrial machinery to maintain optimal performance levels. Ugandan policymakers should consider incentivizing fleet operators to invest more in modern machinery to enhance productivity and competitiveness. Industrial machinery, cost-effectiveness, panel data analysis, Ugandan economy The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.
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Rubare et al. (2010) studied this question.
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