"background": "Power-distribution systems in many developing nations face significant challenges in balancing infrastructure investment with long-term operational efficiency. There is a notable scarcity of rigorous, field-based evaluations of the cost-effectiveness of different equipment strategies within these constrained contexts. ", "purpose and objectives": "This study aimed to develop and apply a quasi-experimental methodology to empirically evaluate the comparative cost-effectiveness of alternative power-distribution equipment systems deployed within a national utility's network. ", "methodology": "A difference-in-differences framework was employed, analysing operational and cost data from multiple network segments before and after the installation of new equipment types. The core statistical model was Y{it = \0 + \1 + \2 + \3 (\) +, where Y₈ₓ is the total cost per unit of reliable energy delivered. Robust standard errors were clustered at the substation level to account for serial correlation. ", "findings": "The intervention employing modernised, fault-tolerant switchgear demonstrated a statistically significant reduction in total lifecycle cost per MWh delivered. The estimated average treatment effect was a 17. 3% cost reduction (95% CI: 12. 1% to 22. 5%) compared to conventional equipment upgrades in control segments. ", "conclusion": "The quasi-experimental design provided robust, field-derived evidence that strategically selected, higher-capital-cost equipment can yield superior long-term cost-effectiveness in this operational environment by drastically reducing failure-related operational expenditures. ", "recommendations": "Utilities should integrate prospective quasi-experimental evaluations into procurement planning to guide capital allocation. Policymakers should support regulatory frameworks that consider total lifecycle cost, not just initial capital outlay. ", "key words": "cost-benefit analysis, difference-in-differences, distribution networks, lifecycle costing, power infrastructure", "contribution statement": "This paper
Niyonsenga et al. (Mon,) studied this question.