A Multilevel Regression Analysis of Efficiency Gains in Kenyan Municipal Infrastructure Asset Systems

Municipal infrastructure asset systems in Kenya face persistent challenges in efficiency, with performance often assessed through aggregate indicators that mask underlying systemic and contextual variations. A rigorous, hierarchical analytical framework is required to disentangle the effects of asset-level characteristics from broader municipal governance factors. This study aims to develop and apply a multilevel regression modelling approach to quantify efficiency gains within these systems, isolating the contributions of technical asset attributes and municipal-level management practices. A novel hierarchical dataset was constructed from technical audits and municipal records. A two-level random intercepts model was specified: $y_{ij} = \beta_{0} + \beta X_{ij} + u_{j} + e_{ij}$, where $i$ denotes assets and $j$ municipalities. Model parameters were estimated using restricted maximum likelihood, with robust standard errors to account for heteroscedasticity. Municipal-level random effects accounted for 31% of the variance in technical efficiency scores. A one-unit increase in a composite maintenance planning index at the municipal level was associated with a 0.15 standard deviation increase in asset efficiency (95% CI: 0.09, 0.21), holding asset age and type constant. The analysis confirms that efficiency determinants are significantly hierarchical, with municipal governance structures exerting a substantial, quantifiable influence over the performance of individual physical assets. Infrastructure efficiency programmes should adopt a dual focus, targeting both asset-specific interventions and the enhancement of municipal-level institutional capacities in planning and data management. multilevel modelling, infrastructure management, asset efficiency, municipal engineering, sub-Saharan Africa This paper provides the first application of multilevel regression modelling to disambiguate asset- and municipality-level drivers of engineering efficiency in sub-Saharan African municipal infrastructure, yielding a transferable methodological framework for systemic performance analysis.