"background": "The reliability and economic efficiency of power-distribution networks are critical for sustainable development in West Africa. In Senegal, ageing infrastructure and investment constraints necessitate rigorous evaluation of equipment upgrades, yet robust methodological frameworks for such appraisals are lacking in the regional literature. ", "purpose and objectives": "This study aims to develop and apply a quasi-experimental econometric model to quantify the cost-effectiveness of recent power-distribution equipment interventions. The primary objective is to determine the causal impact of these upgrades on system performance and maintenance expenditure. ", "methodology": "A difference-in-differences (DiD) modelling approach was employed, using panel data from treated and control networks. The core model is specified as Y{it = \0 + \1 + \2 + \ (\) + \₈ₓ, where \ is the average treatment effect. Inference is based on cluster-robust standard errors to account for serial correlation. ", "findings": "The DiD estimator revealed a statistically significant reduction in annual maintenance costs attributable to the new equipment systems, with a point estimate of 18. 7% (95% CI: 15. 2% to 22. 1%). This was coupled with a measurable decrease in average interruption frequency. ", "conclusion": "The methodological approach provides a credible framework for causal inference in infrastructure evaluation. The results demonstrate that targeted equipment modernisation can yield substantial economic benefits for utilities in the region. ", "recommendations": "Utilities should adopt quasi-experimental evaluation methods for future investment planning. Policymakers are advised to prioritise funding for interventions with demonstrable, quantitatively verified returns, as modelled in this study. ", "key words": "difference-in-differences, cost-benefit analysis, power distribution, infrastructure economics, quasi-experimental design", "contribution statement": "This paper provides
Ndiaye et al. (Sun,) studied this question.
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