This study focuses on evaluating the adoption rates of power-distribution equipment systems in Ethiopia. The methodology involves collecting data from multiple levels (e. g. , national, regional, district) using surveys and existing records. Multilevel regression models are employed to account for hierarchical structures in the data. A multivariate regression analysis revealed that factors such as infrastructure quality and government incentives significantly influenced system adoption rates, with a proportion of variance explained at approximately 30%. The study concludes that effective policy interventions and improved infrastructure are crucial for increasing the adoption of power-distribution equipment systems in Ethiopia. Policymakers are recommended to focus on enhancing infrastructure quality and implementing targeted incentive programmes to promote system adoption. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Mamo Tekleselasie (Tue,) studied this question.
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