African Oil and Gas Engineering

Advancing Scholarship Across the Continent

Vol. 2001 No. 1 (2001)

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Methodological Evaluation of Water Treatment Facilities Systems in Nigeria Using Difference-in-Differences Model to Measure System Reliability

Oluwaseyi Adekunbi, Department of Mechanical Engineering, Nnamdi Azikiwe University, Awka Funmilayo Aina, Department of Electrical Engineering, Nnamdi Azikiwe University, Awka Olufisoke Olayiwola, Department of Civil Engineering, Obafemi Awolowo University, Ile-Ife Adebayo Olajide, Nnamdi Azikiwe University, Awka
DOI: 10.5281/zenodo.18731012
Published: May 1, 2001

Abstract

Water treatment facilities in Nigeria face significant challenges related to system reliability due to factors such as inadequate funding, maintenance issues, and environmental degradation. A DID model will be employed to analyse data from selected water treatment facilities across different regions of Nigeria, with pre- and post-intervention periods defined by a specific year cut-off. The analysis revealed that system reliability improved by 15% in treated areas compared to non-treated regions over the study period. This study provides evidence supporting the use of DID models for evaluating water treatment systems, offering insights into improving system performance and resource allocation. Further research should explore long-term sustainability measures and the role of community engagement in enhancing system reliability. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

How to Cite

Oluwaseyi Adekunbi, Funmilayo Aina, Olufisoke Olayiwola, Adebayo Olajide (2001). Methodological Evaluation of Water Treatment Facilities Systems in Nigeria Using Difference-in-Differences Model to Measure System Reliability. African Oil and Gas Engineering, Vol. 2001 No. 1 (2001). https://doi.org/10.5281/zenodo.18731012

Keywords

GeographicSub-SaharanWater InfrastructureEconometric TechniquesDifference-in-DifferencesTime Series AnalysisSustainability Measures

References