Drivers of Electric Vehicle Adoption in Nigeria

Ajao, Qasim; Sadeeq, Lanre; Sadiq, Oluwatobi Oluwaponmile · 2024 · Crossref

DOI: 10.62154/ajesre.2024.016.010326

archive: archived pipeline: cataloged verified

Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)

Summary

This study investigates the determinants of electric vehicle (EV) adoption in Nigeria, addressing the significant gap between optimistic industry projections and the actual low penetration rates in the region. The authors argue that existing technology acceptance models, such as the Unified Theory of Acceptance and Use of Technology (UTAUT), fail to capture region-specific barriers prevalent in developing nations. Consequently, the research aims to identify key drivers and inhibitors of EV adoption by extending the UTAUT framework to include local contextual factors, thereby providing actionable insights for policymakers and stakeholders aiming to align transportation with global sustainability goals. To achieve this, the researchers developed an extended UTAUT model incorporating traditional constructs—performance expectancy, social influence, trust, and network externalities—alongside a tailored "facilitating conditions" construct. This latter category specifically addresses Nigerian challenges, including poor infrastructure (unreliable power supply, lack of charging stations), affordability issues (high purchase and insurance costs), and government support (subsidies and policies). Data were collected via a survey distributed between January and February 2024, yielding 40,250 usable responses from a diverse demographic of Nigerians. The instrument underwent rigorous back-translation to ensure cultural and linguistic validity. Statistical analysis was performed using SPSS and AMOS software to test six hypotheses regarding the influence of these variables on behavioral intentions to adopt EVs. The analysis revealed that facilitating conditions are a critical determinant of adoption behavior. Specifically, the study found that the influence of facilitating conditions on behavioral intentions (H6) was approximately 32.35% stronger than that of network externalities (H5). This result indicates that traditional drivers, particularly the availability of reliable infrastructure and supportive policies, significantly outweigh the effects of network growth in shaping consumers' willingness to purchase EVs in Nigeria. The findings confirm that while factors like trust and performance expectancy remain relevant, the lack of adequate charging infrastructure and unreliable electricity supply serve as primary barriers. The significance of this research lies in its adaptation of global technology acceptance theories to the specific socio-economic context of Sub-Saharan Africa. By demonstrating that facilitating conditions are the strongest predictor of EV adoption in Nigeria, the study highlights the urgent need for infrastructure development and government intervention. The authors conclude that accelerating EV adoption requires targeted strategies to improve charging networks, stabilize power supply, and enhance affordability through subsidies. These insights provide a roadmap for overcoming local barriers and fostering a sustainable transition to electric mobility in developing economies.

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.

Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• acceptance adoption