This study examines the methodological evaluation of regional monitoring networks in South Africa, focusing on their effectiveness in measuring cost-effectiveness within the energy sector. A mixed-method approach was employed, combining quantitative data analysis with qualitative interviews. The study utilised regression models to assess cost-effectiveness while accounting for potential confounding variables through robust standard errors. The findings indicate a significant reduction of 15% in operational costs when implementing the monitoring systems compared to traditional methods, highlighting their effectiveness in resource optimization. The quasi-experimental design demonstrated that the regional monitoring networks are cost-effective and efficient tools for managing energy resources in South Africa. The results support further investment in these systems. Recommend ongoing evaluation of existing networks and consideration for expanding coverage to additional regions where benefits could be realised. regional monitoring, cost-effectiveness, quasi-experimental design, South Africa, energy sector The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Mokoena et al. (Sun,) studied this question.
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