A Comparative Bayesian Hierarchical Modelling Approach to Off-Grid System Adoption in Kenyan Rural Communities

Wanjiku Mwangi, Kamau Ochieng · 2024 · Zenodo (CERN European Organization for Nuclear Research)

Summary. This study develops a Bayesian hierarchical model to analyze adoption of off-grid solar systems across rural Kenyan communities. The model reveals significant variation in adoption rates between communities. Access to agricultural extension services strongly predicts adoption, with households receiving extension services 2.3 times more likely to adopt solar systems. The findings support integrating energy access programs with agricultural extension to improve off-grid technology uptake.

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@article{mwangi-2024-comparative-bayesian-hierarchical-modelling-approach,
  title   = {A Comparative Bayesian Hierarchical Modelling Approach to Off-Grid System Adoption in Kenyan Rural Communities},
  author  = {Wanjiku Mwangi and Kamau Ochieng},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  year    = {2024},
  doi     = {10.5281/zenodo.19485705},
  url     = {https://doi.org/10.5281/zenodo.19485705}
}

TY  - JOUR
TI  - A Comparative Bayesian Hierarchical Modelling Approach to Off-Grid System Adoption in Kenyan Rural Communities
AU  - Wanjiku Mwangi
AU  - Kamau Ochieng
JO  - Zenodo (CERN European Organization for Nuclear Research)
PY  - 2024
DO  - 10.5281/zenodo.19485705
UR  - https://doi.org/10.5281/zenodo.19485705
ER  - 

Details

DOI

10.5281/zenodo.19485705

Countries

Kenya

Regions

Africa

Categories

energy, agtech, regional-innovation-systems, general-innovation

Added

2026-06-01