Understanding the Factors Influencing Nepalese Youth's Intention to Buy Electric Vehicles

Electric vehicles (EVs) are emerging as a sustainable alternative to traditional fossil fuel-powered transportation, offering significant environmental and economic benefits. Despite global advances, EV adoption in developing countries such as Nepal remains limited due to socio-economic and infrastructural challenges. This study investigates the behavioral intentions of Nepalese youth to purchase EVs, focusing on five key factors drawn from the Unified Theory of Acceptance and Use of Technology (UTAUT): performance expectancy, environmental concerns, effort expectancy, social influence, and facilitating conditions. Data was collected through an online survey completed by 289 respondents predominantly from urban areas. Partial Least Squares Structural Equation Modeling (PLS-SEM) was utilized to analyze relationships between these constructs. The results indicate that performance expectancy, environmental concerns, and social influence significantly influence the intention to adopt EVs, while effort expectancy and facilitating conditions did not emerge as significant predictors. These findings highlight the importance of emphasizing practical benefits and environmental impacts of EVs, leveraging social endorsement, and shaping youth-targeted awareness campaigns to accelerate adoption. This research contributes to understanding sustainable transportation adoption in emerging economies, offering valuable insights for policymakers, manufacturers, and marketers aiming to promote EV adoption within Nepal’s youth demographic and support the country’s transition towards a greener, low-carbon transport future

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17184618
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the Factors Influencing Nepalese Youth's Intention to Buy Electric Vehicles

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Understanding the Factors Influencing Nepalese Youth's Intention to Buy Electric Vehicles

article en

Abstract

Electric vehicles (EVs) are emerging as a sustainable alternative to traditional fossil fuel-powered transportation, offering significant environmental and economic benefits. Despite global advances, EV adoption in developing countries such as Nepal remains limited due to socio-economic and infrastructural challenges. This study investigates the behavioral intentions of Nepalese youth to purchase EVs, focusing on five key factors drawn from the Unified Theory of Acceptance and Use of Technology (UTAUT): performance expectancy, environmental concerns, effort expectancy, social influence, and facilitating conditions. Data was collected through an online survey completed by 289 respondents predominantly from urban areas. Partial Least Squares Structural Equation Modeling (PLS-SEM) was utilized to analyze relationships between these constructs. The results indicate that performance expectancy, environmental concerns, and social influence significantly influence the intention to adopt EVs, while effort expectancy and facilitating conditions did not emerge as significant predictors. These findings highlight the importance of emphasizing practical benefits and environmental impacts of EVs, leveraging social endorsement, and shaping youth-targeted awareness campaigns to accelerate adoption. This research contributes to understanding sustainable transportation adoption in emerging economies, offering valuable insights for policymakers, manufacturers, and marketers aiming to promote EV adoption within Nepal’s youth demographic and support the country’s transition towards a greener, low-carbon transport future

Zenodo (CERN European Organization for Nuclear Research)
The King's College (US), Mälardalen University (SE)
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.