Journal Design Engineering Masthead
African Structural Engineering | 11 March 2004

A Quasi-Experimental Evaluation of Cost-Effectiveness in Kenyan Municipal Infrastructure Asset Management Systems

O, m, o, n, d, i, O, t, i, e, n, o, ,, F, a, t, u, m, a, H, a, s, s, a, n, ,, K, a, m, a, u, K, a, r, i, u, k, i, ,, W, a, n, j, i, k, u, M, w, a, n, g, i
Asset ManagementCost-EffectivenessMunicipal InfrastructureQuasi-Experimental
Centralised, tech-aided systems yield 22% higher asset condition per unit spend.
Efficiency gains are most pronounced for road and drainage infrastructure.
Quasi-experimental design matches municipalities on budget and asset base.
Findings support investment in integrated software and data governance.

Abstract

{ "background": "Municipal infrastructure asset management in many developing nations is constrained by limited resources, yet robust empirical evidence on the cost-effectiveness of different management systems is scarce. This gap hinders evidence-based policy and investment decisions for sustaining critical public works.", "purpose and objectives": "This study aimed to quantify the cost-effectiveness of two distinct municipal infrastructure asset management systems implemented in the country: a centralised, technology-aided system and a decentralised, manual system. The primary objective was to determine which system delivers superior asset condition per unit of expenditure.", "methodology": "A quasi-experimental design was employed, matching six municipalities using each system based on population, asset base, and budget. Cost and asset condition data were collected over a multi-year period. Cost-effectiveness was analysed using a generalised linear model: $\\text{Asset Condition Index}{it} = \\beta0 + \\beta1 \\text{System}i + \\beta2 \\ln(\\text{Expenditure}{it}) + \\mathbf{X}{it}\\boldsymbol{\\beta} + \\epsilon{it}$, where $\\mathbf{X}$ is a vector of control variables. Inference was based on cluster-robust standard errors.", "findings": "The centralised, technology-aided system was associated with a statistically significant improvement in cost-effectiveness. For a given expenditure level, municipalities using this system achieved, on average, a 22% higher asset condition index (95% CI: 15% to 29%). The efficiency gain was most pronounced for road and drainage assets.", "conclusion": "The findings demonstrate that the choice of asset management system has a material impact on fiscal efficiency in municipal infrastructure management. Centralised systems leveraging digital tools can deliver substantially better asset outcomes for equivalent financial outlays.", "recommendations": "Municipal authorities should prioritise investment in integrated asset management software and centralised data governance. National policy should support standardised reporting and provide guidance on cost-effective system implementation.", "key words":