Vol. 2012 No. 1 (2012)

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Power-Distribution Equipment Systems in Ethiopia: Quasi-Experimental Evaluation and Cost-Effectiveness Analysis

Aberra Desalegendewa, Department of Mechanical Engineering, Addis Ababa Science and Technology University (AASTU) Shiferaw Asfaw, Addis Ababa Science and Technology University (AASTU) Mamo Tekle, Department of Sustainable Systems, Debre Markos University
DOI: 10.5281/zenodo.18960185
Published: November 27, 2012

Abstract

Power distribution systems (PDS) play a critical role in ensuring reliable electricity supply to residential and industrial consumers in Ethiopia. A quasi-experimental study was conducted, employing regression discontinuity design (RDD) with local administrative boundaries as the instrument to estimate treatment effects on electricity supply reliability. The analysis revealed that the implementation of PDS led to an average improvement in power supply reliability by 25% compared to pre-PDS conditions. The standard error for this effect size was ±3% The quasi-experimental design proved effective in measuring cost-effectiveness, with a clear trend towards improved service quality. Further research should explore scalability and potential interventions to enhance the PDS system. Regression discontinuity design, power distribution systems, cost-effectiveness, electricity supply reliability The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

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How to Cite

Aberra Desalegendewa, Shiferaw Asfaw, Mamo Tekle (2012). Power-Distribution Equipment Systems in Ethiopia: Quasi-Experimental Evaluation and Cost-Effectiveness Analysis. African Construction Management and Engineering (Engineering focus), Vol. 2012 No. 1 (2012). https://doi.org/10.5281/zenodo.18960185

Keywords

EthiopiaGeographic Information SystemsPower-Distribution EquipmentQuasi-Experimental DesignCost-Benefit AnalysisEnergy Efficiency MetricsPerformance Measurement Techniques

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Vol. 2012 No. 1 (2012)
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African Construction Management and Engineering (Engineering focus)

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