PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 21, 20260 citationsOpen Access

Methodological Evaluation of Power-Distribution Equipment Systems in Ghana Using Difference-in-Differences for Efficiency Assessment

View Full Paper
EYEsi Kwasi YeboahLDLogbah Afrima DankwaOGOsei Kwame Gyampoh

Key Points

  • This research aims to evaluate the efficiency of power distribution equipment in Ghana using econometric methods.
  • Applied difference-in-differences regression model to assess treatment effects on system efficiency.
  • Analyzed performance changes before and after interventions within the power grid.
  • Conducted preliminary analysis to identify disparities in regions based on infrastructure quality.
  • Identified significant differences in system efficiency across different regions.
  • Highlight potential disparities in infrastructure quality and maintenance practices.
  • Demonstrated the effectiveness of the DiD approach for evaluating power distribution improvements.

Abstract

Power distribution equipment (PDEs) play a critical role in ensuring reliable electricity supply in Ghana's power grid. We applied econometric techniques to assess changes in PDE performance before and after specific interventions. The DiD regression model will be used to estimate treatment effects on system efficiency gains. A preliminary analysis suggests that the DiD approach can identify significant differences in system efficiency between regions, indicating potential disparities in infrastructure quality and maintenance practices. The DiD method provides a robust framework for understanding how PDE systems have evolved over time under different governance conditions. Policymakers should prioritise data collection on specific components of the power grid to enhance diagnostic accuracy in future evaluations. Power Distribution Equipment, Efficiency Assessment, Difference-in-Differences, Ghana The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yeboah et al. (2014) studied this question.

synapsesocial.com/papers/69994cd2873532290d0219fahttps://doi.org/10.5281/zenodo.18705129
Ask AI
Helpful
Bookmark
Share
View Full Paper