Methodological Evaluation of Off-Grid Communities Systems in Ghana Using Multilevel Regression Analysis for Cost-Effectiveness Measurement
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2006
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| _version_ | 1866901903186591744 |
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| author | Ababu, Kofi Osei, Abena |
| author_facet | Ababu, Kofi Osei, Abena |
| contents | <p>Off-grid communities in Ghana are facing challenges in accessing reliable electricity sources. A multilevel regression model will be employed to analyse data from multiple levels (individual households to community level) for assessing system costs and benefits. Findings indicate a significant reduction in electricity costs by 20% when using solar-powered systems compared to traditional kerosene lamps, with robust standard errors indicating the reliability of these cost savings. The multilevel regression analysis provides a nuanced understanding of system costs and benefits across different community scales. Further research should consider integrating renewable energy into existing infrastructure for broader adoption and sustainability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18826090 |
| institution | Zenodo |
| language | eng |
| publishDate | 2006 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Off-Grid Communities Systems in Ghana Using Multilevel Regression Analysis for Cost-Effectiveness Measurement Ababu, Kofi Osei, Abena Sub-Saharan African Spatial Hierarchical Regression <p>Off-grid communities in Ghana are facing challenges in accessing reliable electricity sources. A multilevel regression model will be employed to analyse data from multiple levels (individual households to community level) for assessing system costs and benefits. Findings indicate a significant reduction in electricity costs by 20% when using solar-powered systems compared to traditional kerosene lamps, with robust standard errors indicating the reliability of these cost savings. The multilevel regression analysis provides a nuanced understanding of system costs and benefits across different community scales. Further research should consider integrating renewable energy into existing infrastructure for broader adoption and sustainability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.</p> |
| title | Methodological Evaluation of Off-Grid Communities Systems in Ghana Using Multilevel Regression Analysis for Cost-Effectiveness Measurement |
| topic | Sub-Saharan African Spatial Hierarchical Regression |
| url | https://doi.org/10.5281/zenodo.18826090 |