"background": "Municipal infrastructure asset management in West Africa faces significant challenges in demonstrating cost-effectiveness and value for money. Robust, quantitative methodologies for evaluating the performance of these systems are scarce, hindering evidence-based investment and policy decisions. ", "purpose and objectives": "This study aims to develop and apply a rigorous methodological framework to evaluate the cost-effectiveness of municipal infrastructure asset systems. The primary objective is to quantify the causal impact of a systematic asset management programme on maintenance expenditure and service delivery outcomes. ", "methodology": "A quasi-experimental difference-in-differences (DiD) model was employed, using panel data from municipalities. The core estimating equation is Y{it = \ + \ (Treati \ Postt) + \ + \ +, where Y₈ₓ is the outcome for municipality i in period t. Robust standard errors were clustered at the municipal level to account for serial correlation. ", "findings": "The intervention reduced annual routine maintenance expenditure by an average of 18. 7% (95% CI: 12. 3% to 25. 1%) in treated municipalities relative to the control group, while key service availability indicators showed no statistically significant decline. This indicates improved efficiency in resource utilisation. ", "conclusion": "The implemented asset management system proved to be a cost-effective strategy for municipal infrastructure stewardship. The DiD approach provided a credible causal estimate of the programme's financial impact, overcoming common limitations of observational data. ", "recommendations": "Municipal authorities should adopt structured asset management systems, supported by longitudinal performance monitoring. Future infrastructure investment programmes should incorporate quasi-experimental evaluation designs from inception to rigorously assess value for money. ", "key words": "asset management, infrastructure economics, programme evaluation, causal inference, municipal engineering, West Africa", "contribution statement": "This paper provides the first application of a difference-in-differences model to quantify the causal impact of an infrastructure asset management system in a Sub
Mamadou Diagne (Wed,) studied this question.
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