Vol. 2012 No. 1 (2012)

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Multilevel Regression Analysis for Measuring Adoption Rates of Municipal Infrastructure Assets Systems in South Africa: A Methodological Evaluation

Ntokozweni Tshabalala, Department of Sustainable Systems, South African Institute for Medical Research (SAIMR)
DOI: 10.5281/zenodo.18961424
Published: June 20, 2012

Abstract

The adoption rates of municipal infrastructure assets systems in South Africa have been a subject of interest for researchers aiming to understand how these systems are implemented and utilised across different communities. A multilevel regression model was employed to analyse data collected from various municipalities. The model accounts for both individual-level and area-level factors influencing the adoption rate of these systems. The analysis revealed significant differences in adoption rates across different municipal areas, with a notable proportion (25%) showing high levels of asset system utilization. Multilevel regression analysis provided valuable insights into the complex factors affecting the adoption of municipal infrastructure assets systems. This methodological evaluation can inform future research and policy development. Further studies should explore how to enhance the implementation and maintenance of these systems, leveraging the findings from this study. Municipal Infrastructure, Adoption Rates, Multilevel Regression Analysis, South Africa The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

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How to Cite

Ntokozweni Tshabalala (2012). Multilevel Regression Analysis for Measuring Adoption Rates of Municipal Infrastructure Assets Systems in South Africa: A Methodological Evaluation. African Learning Design, Vol. 2012 No. 1 (2012). https://doi.org/10.5281/zenodo.18961424

Keywords

Sub-Saharanmultilevel regressionnested samplinghierarchical analysiseconometric modellingGIS integrationspatial statistics

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Vol. 2012 No. 1 (2012)
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African Learning Design

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