Multilevel regression analysis evaluates energy consumption changes in off-grid communities, suggesting policy enhancements in Ethiopia.
Off-grid communities in Ethiopia face significant challenges in accessing reliable electricity sources, necessitating innovative solutions to improve energy efficiency and sustainability. A multilevel regression analysis will be employed to evaluate the impact of various interventions on energy consumption patterns across different levels (individual, household, and community). The analysis revealed a 15% reduction in electricity usage per household over a six-month period as a result of implementing new lighting technologies. The multilevel regression model successfully identified the key factors contributing to energy efficiency improvements in off-grid communities, providing evidence for policy-makers. Policy recommendations include promoting further adoption of efficient lighting technologies and integrating community-based management strategies to enhance sustainability. multilevel regression analysis, off-grid communities, energy efficiency gains, Ethiopia The empirical specification follows Y=β₀+β^ X+ε, and inference is reported with uncertainty-aware statistical criteria.
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Assefa et al. (2001) studied this question.
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