Bayesian Hierarchical Model in Assessing Efficiency Gains across Tanzania's Water Treatment Facilities Systems

Water treatment facilities in Tanzania face challenges related to operational efficiency. A Bayesian hierarchical model was applied to evaluate efficiency metrics of water treatment plants in Tanzania. The model accounts for heterogeneity among facilities while estimating average efficiencies. The model identified that three out of ten facilities showed significant efficiency gains when compared to baseline levels, with gains averaging at least 15% over a year. Bayesian hierarchical modelling provided nuanced insights into the variability and improvements in water treatment facility performance across Tanzania. Further research should explore factors influencing these efficiency changes to inform policy and resource allocation for sustainable water management. water treatment, Bayesian hierarchical model, efficiency gains, Tanzania The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.