Institutional Sustainability and Low-Emission Vehicle Adoption in Kenya: A Mixed-Methods Case Study of Kiambu County

Purpose: This study examined the association between institutional sustainability and adoption of low-emission vehicles (LEVs) in Kiambu County, Kenya. Methodology: A descriptive mixed-methods study combined stratified random sampling for the questionnaire survey with purposive selection of key informants. Of 218 questionnaires distributed, 196 were completed (89.9%), and 18 interviews were conducted. Institutional sustainability was assessed using eight five-point items (Cronbach’s α = .781). Descriptive statistics and Pearson correlation were combined with thematic analysis of interviews. Findings: The eight institutional sustainability item means averaged 3.57. Institutional sustainability was positively correlated with the perception-based LEV adoption score (r = .641, p < .001). The lowest institutional rating concerned predictable long-term funding (M = 3.39), while interviews highlighted coordination gaps and discontinuous programme financing. The findings indicate association rather than causation; adjusted and interaction effects were not estimated. Unique Contribution to Theory, Practice and Policy: The study applies Institutional Theory to county-level low-emission transport and interprets financing constraints through fiscal decentralisation. It proposes institutional sustainability as a potential moderator of the affordability–adoption relationship for future testing. The findings support clearer implementation mandates, stronger national–county coordination, predictable programme financing and sustained stakeholder engagement.

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Publication Details

Journal
American Journal of Public Policy and Administration
Published
2026-10-28
DOI
https://doi.org/10.47672/ajppa.3021
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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article

Institutional Sustainability and Low-Emission Vehicle Adoption in Kenya: A Mixed-Methods Case Study of Kiambu County

Edna Jemutai Moi, Pavleen Mutuma
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American Journal of Public Policy and Administration
Electric Vehicles and Infrastructure
article

Institutional Sustainability and Low-Emission Vehicle Adoption in Kenya: A Mixed-Methods Case Study of Kiambu County

Edna Jemutai Moi, Pavleen Mutuma
article en

Abstract

Purpose: This study examined the association between institutional sustainability and adoption of low-emission vehicles (LEVs) in Kiambu County, Kenya. Methodology: A descriptive mixed-methods study combined stratified random sampling for the questionnaire survey with purposive selection of key informants. Of 218 questionnaires distributed, 196 were completed (89.9%), and 18 interviews were conducted. Institutional sustainability was assessed using eight five-point items (Cronbach’s α = .781). Descriptive statistics and Pearson correlation were combined with thematic analysis of interviews. Findings: The eight institutional sustainability item means averaged 3.57. Institutional sustainability was positively correlated with the perception-based LEV adoption score (r = .641, p < .001). The lowest institutional rating concerned predictable long-term funding (M = 3.39), while interviews highlighted coordination gaps and discontinuous programme financing. The findings indicate association rather than causation; adjusted and interaction effects were not estimated. Unique Contribution to Theory, Practice and Policy: The study applies Institutional Theory to county-level low-emission transport and interprets financing constraints through fiscal decentralisation. It proposes institutional sustainability as a potential moderator of the affordability–adoption relationship for future testing. The findings support clearer implementation mandates, stronger national–county coordination, predictable programme financing and sustained stakeholder engagement.

American Journal of Public Policy and AdministrationVol. 11(1)
Kenyatta University (KE)
Climate action, Sustainable cities and communities, Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Electric Vehicles and Infrastructure
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