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March 12, 20260 citationsOpen Access

Methodological Evaluation of Power-Distribution Equipment Systems in Ghana: Quasi-Experimental Design for Efficiency Gains

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KAKweku Afriyani AdzimoEDEbenezer Emmanuel DokuKAKofi Kwesi Amankwa

Key Points

  • The study aims to develop a robust model for assessing efficiency in power-distribution systems in Ghana.
  • Applied a quasi-experimental design within the engineering framework.
  • Formulated a structured analytical approach integrating formal modelling and domain evidence.
  • Evaluated a mathematical model for maintenance outcomes.
  • Checked robustness using heteroskedasticity-consistent errors.
  • Established bounded error under perturbation.
  • Demonstrated a convergent estimation process with stated assumptions.
  • Identified a stable relationship between proposed metrics and observed outcomes.
  • Provided a basis for reproducibility in analytical methods.

Abstract

This study addresses a current research gap in Engineering concerning Methodological evaluation of power-distribution equipment systems in Ghana: quasi-experimental design for measuring efficiency gains in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of power-distribution equipment systems in Ghana: quasi-experimental design for measuring efficiency gains, Ghana, Africa, Engineering, case study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.

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Cite This Study

Adzimo et al. (2011) studied this question.

synapsesocial.com/papers/69b2580996eeacc4fcec73edhttps://doi.org/10.5281/zenodo.18929256
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