"background": "The cost-effectiveness of transport maintenance depots is a critical yet under-researched factor in the operational efficiency of national infrastructure networks. In Kenya, a lack of robust, longitudinal analysis has hindered evidence-based investment and policy formulation for these essential engineering assets. ", "purpose and objectives": "This study aims to methodologically evaluate the performance measurement frameworks used for transport maintenance depots and to develop a panel-data econometric model for estimating their cost-effectiveness. The objective is to identify key operational and managerial drivers of efficiency. ", "methodology": "A novel two-stage analytical framework was employed. First, a methodological evaluation of existing performance indicators was conducted. Second, a balanced panel dataset from a national sample of depots was analysed using a fixed-effects model: CE{it = \ + \1 Labourit + \2 Inventoryit + \3 Ageit +, where CEit is a composite cost-effectiveness score for depot i in period t. Inference was based on cluster-robust standard errors. ", "findings": "The methodological review found prevailing metrics to be skewed towards cost minimisation, neglecting output quality. The panel estimation revealed that inventory turnover ratio had a statistically significant positive association with cost-effectiveness (p<0. 01), whereas mean fleet age showed a strong negative correlation. A one-year increase in average fleet age was associated with a 2. 3 percentage point decrease in the cost-effectiveness score, holding other factors constant. ", "conclusion": "The study concludes that current performance assessment methodologies are incomplete and that operational factors, particularly asset age and inventory management, are significant determinants of depot cost-effectiveness in the studied context. ", "recommendations": "It is recommended that depot performance frameworks integrate quality-adjusted output measures. Furthermore, strategic renewal programmes for ageing vehicle fleets should be prioritised to enhance systemic cost-effectiveness. ", "key words": "infrastructure management, maintenance engineering, panel data analysis,
Ochieng et al. (Tue,) studied this question.
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