Cost-Effectiveness Diagnostics for Off-Grid Energy Systems in Rwandan Rural Communities: A Multilevel Regression Analysis

Jean de Dieu Uwimana · 2023 · Zenodo (CERN European Organization for Nuclear Research)

Summary. This study evaluates off-grid energy systems in rural Rwanda using multilevel regression analysis to identify what makes them cost-effective for agriculture. Larger system capacity and community co-management significantly improved cost-effectiveness, while diesel hybrid systems performed worse than pure solar. The research shows that both technical scale and governance structures determine economic sustainability, and that policymakers must invest in community management capacity alongside technical infrastructure.

Read the original

@article{uwimana-2023-cost-effectiveness-diagnostics-off-grid,
  title   = {Cost-Effectiveness Diagnostics for Off-Grid Energy Systems in Rwandan Rural Communities: A Multilevel Regression Analysis},
  author  = {Jean de Dieu Uwimana},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  year    = {2023},
  doi     = {10.5281/zenodo.19485975},
  url     = {https://doi.org/10.5281/zenodo.19485975}
}

TY  - JOUR
TI  - Cost-Effectiveness Diagnostics for Off-Grid Energy Systems in Rwandan Rural Communities: A Multilevel Regression Analysis
AU  - Jean de Dieu Uwimana
JO  - Zenodo (CERN European Organization for Nuclear Research)
PY  - 2023
DO  - 10.5281/zenodo.19485975
UR  - https://doi.org/10.5281/zenodo.19485975
ER  - 

Details

DOI

10.5281/zenodo.19485975

Countries

Rwanda

Regions

Africa

Categories

energy, regional-innovation-systems, general-innovation

Added

2026-09-01