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Methodological Evaluation of Power-Distribution Equipment Systems in Kenya: A Difference-in-Differences Model for Yield Improvement (2000–2026)

Domaine:

environment and energy

Type de record:

paper
Créateur:
MwaOtiCheHassan, Fatima
Éditeur:
Zenodo
Hôte:avatar

{ "background": "Power-distribution systems in many African nations face significant efficiency challenges, with technical losses and yield deficits constraining economic development. A rigorous methodological framework for evaluating the impact of equipment upgrades on system yield is required to inform infrastructure investment.", "purpose and objectives": "This study aims to develop and apply a quasi-experimental econometric model to quantify the causal effect of modernising power-distribution equipment on technical yield within a national grid. The objective is to provide an evidence-based evaluation methodology for engineering interventions.", "methodology": "A difference-in-differences (DiD) model was employed, analysing panel data from treated and control regions. The core specification is $Y{it} = \\beta0 + \\beta1 \\text{Treat}i + \\beta2 \\text{Post}t + \\delta (\\text{Treat}i \\times \\text{Post}t) + \\epsilon_{it}$, where $\\delta$ is the average treatment effect. Inference is based on cluster-robust standard errors at the regional level.", "findings": "The modernisation programme significantly improved aggregate technical yield by an estimated 7.3 percentage points (95% CI: 5.1, 9.5). The DiD estimator $\\hat{\\delta}$ was statistically significant at the 1% level, indicating a strong positive causal effect of the equipment interventions.", "conclusion": "The application of a difference-in-differences model provides a robust methodological framework for evaluating engineering upgrades in power distribution, confirming that targeted equipment modernisation is a potent driver of yield improvement.", "recommendations": "Utilities should adopt quasi-experimental evaluation designs for major capital projects. Policy should prioritise investment in regions with the highest pre-intervention loss profiles, as modelled by the treatment effect heterogeneity analysis.", "key words": "difference-in-differences, power distribution, technical yield, quasi-experimental, infrastructure evaluation, grid modernisation", "contribution statement":

Visit

doi.org

Tags

Power distributionTechnical lossesSub-Saharan AfricaDifference-in-differencesYield improvementInfrastructure evaluationKenya

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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