What question did this study set out to answer?

This study aims to identify factors influencing the adoption of solar power by rural households in Kenya. It particularly focuses on economic and educational determinants.

February 26, 2026Open Access

Solar Power Adoption Among Rural Households in Bondo Sub-County

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This study aims to identify factors influencing the adoption of solar power by rural households in Kenya. It particularly focuses on economic and educational determinants.
Descriptive survey design used for data collection
Data collected through self-administered questionnaires
Inferential analyses conducted along with logit model analysis
Awareness of solar power significantly influences adoption decisions.
Household income is the strongest predictor of solar power adoption.
Education level of household heads affects adoption rates.
Availability of substitute energy sources, like fossil fuels and biomass, plays a crucial role.

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Implication

Descriptive survey assesses solar power adoption determinants in rural households, highlighting economic influences.

Cite This Study

Makene et al. (2026) studied this question.

synapsesocial.com/papers/699fe35995ddcd3a253e7312 https://doi.org/10.5281/zenodo.18756590

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Solar Power Adoption Among Rural Households in Bondo Sub-County

Key Points

Discussion

Implication

Cite This Study

Solar Power Adoption Among Rural Households in Bondo Sub-County

Key Points

Discussion

Implication

Cite This Study

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