The adoption rates of water-saving technologies in municipal water systems across South Africa are poorly understood due to a lack of comprehensive data and methodological rigor. A Bayesian hierarchical model was applied to analyse survey data collected from various municipalities. The model accounts for spatial and temporal variability using random effects and is calibrated with robust standard errors. The model identified a significant positive correlation (p < 0. 05) between socioeconomic status and water-saving technology adoption rates, highlighting the importance of socio-economic factors in influencing technology uptake. The Bayesian hierarchical model provides a nuanced understanding of adoption dynamics across different municipalities, offering insights into policy interventions aimed at increasing technology use. Municipalities should prioritise community engagement and education programmes to address socioeconomic barriers and enhance water-saving technology adoption rates. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Sipho Makhubu (Tue,) studied this question.
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