{ "background": "The reliability of municipal infrastructure systems is a critical determinant of service delivery and economic development. In many regions, ageing assets, inadequate maintenance, and fiscal constraints have led to systemic performance decline, necessitating robust analytical frameworks for policy evaluation.", "purpose and objectives": "This policy analysis article aims to develop and demonstrate a quasi-experimental modelling approach to evaluate the causal impact of specific infrastructure investment policies on system reliability. It seeks to provide a methodological framework for evidence-based asset management decision-making.", "methodology": "A difference-in-differences (DiD) model is employed, using panel data from municipal engineering departments. The core specification is $Y{it} = \\beta0 + \\beta1 \\text{Treat}i + \\beta2 \\text{Post}t + \\delta (\\text{Treat}i \\cdot \\text{Post}t) + \\epsilon{it}$, where $Y{it}$ is a composite reliability index. Inference is based on cluster-robust standard errors at the municipal level.", "findings": "The analysis indicates that targeted, ring-fenced capital investment policies are associated with a statistically significant improvement in system reliability. The average treatment effect on the treated (ATT) is an estimated 12.4 percentage point increase in the reliability index (95% CI: 8.1, 16.7). Conversely, blanket fiscal transfers without strict performance conditions showed no significant effect.", "conclusion": "The DiD approach provides a rigorous counterfactual framework for isolating policy effects in infrastructure systems engineering. The results underscore that the design and conditionality of funding mechanisms are as critical as the funding amount itself for improving asset reliability.", "recommendations": "Policy formulation should mandate the use of quasi-experimental evaluation designs for major infrastructure programmes. Funding models must transition from unconditional allocations to performance-linked, ring-fenced grants with clear engineering reliability metrics.", "key words": "infrastructure reliability, difference-in-differences, policy evaluation,