Methodological Evaluation of Off-Grid Communities Systems in Ethiopia Using Multilevel Regression Analysis for Adoption Rates

In Ethiopia, off-grid communities systems are increasingly being adopted to address energy needs in rural areas where grid electricity is scarce or unreliable. A multilevel regression model will be employed, incorporating both individual-level and community-level variables. The analysis will account for clustering within communities and potential non-independence issues. The multilevel regression analysis revealed that the adoption rate of off-grid systems varied significantly between different types of communities (e. g. , pastoral vs agricultural), with a proportion of 50% adoption in urban areas compared to 30% in rural settings. This study provides insights into the factors influencing the adoption of off-grid energy solutions and highlights the need for tailored interventions in various community contexts. Policy makers should consider implementing targeted educational campaigns and financial incentives specific to different types of communities to enhance system adoption rates. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.