Electric vehicles (EVs) can be considered an alternative technology to reduce greenhouse gas emissions in the transportation sector. However, numerous barriers need to be overcome in this regard. This study is aimed at presenting the framework for the identification and analysis of barriers against the use of EVs. Then, the framework was applied to identify the challenges and rank them in order of importance against the diffusion of EVs in Nepal. Seventeen barriers were identified from previous studies, reports, policy documents, and interactions with experts. The identified barriers were classified into five categories: technical, policy, economic, infrastructure, and social. Then, a comparative survey was performed to obtain experts’ opinions on the identified barriers and the analytical hierarchical process was used to analyze and rank them. The results revealed that infrastructure, policy, economic, and technical barriers pose more pressing concerns than social barriers. The lack of charging stations, relatively higher purchase price of EVs compared to internal combustion vehicles, and poor long-term planning and goal setting on the part of the government were ranked as the top three barriers against EV uptake in Nepal. This framework can be applied to replicate the study in other countries, taking their inherent relevant factors into account.

Electric vehicles (EVs) offer a viable technological solution for mitigating greenhouse gas emissions in the transportation industry, addressing pressing societal concerns regarding climate change, air pollution, and sustainable energy consumption. To effectively promote widespread adoption of EVs, it is crucial to understand consumer preferences and evaluate market dynamics. In Nepal, where proven fossil fuel reserves are absent, the government is actively working towards accelerating EV adoption, leveraging the nation’s significant hydroelectric power generation potential to fulfill EVs’ charging demands. To gain insight into consumer preferences and evaluate market dynamics regarding EVs in Nepal, this study employs a comprehensive approach. Stated preference data are collected through a meticulously designed survey, and sophisticated analytical techniques, namely, the mixed logit model and latent class model, are applied for estimation purposes. The results of this study show that potential EV consumers with small family sizes, lower monthly travel distances, heightened environmental awareness, and substantial knowledge about electric vehicles are more inclined to embrace EV technology. Notably, the study highlights that a reduction in the purchase price exerts the most significant influence on increasing consumers’ likelihood of adopting battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). Market simulation results suggest that a policy mix scenario, encompassing a combination of supportive measures, proves more effective in promoting EV adoption compared to relying on single policy initiatives. Furthermore, through latent class estimation, the study identifies three distinct classes of consumers within Nepal, each exhibiting significant variations in preferences. Recognizing and addressing these variations within policy frameworks is crucial for the successful promotion and widespread acceptance of EVs in Nepal.

Solar irrigation pumps (SIPs) are central to Nepal’s strategy for sustainable irrigation and reducing reliance on diesel pumps. The Alternative Energy Promotion Centre (AEPC) officially provides a 60% subsidy for SIPs under a demand-driven program. This study assesses (i) SIP subsidy delivery and adoption processes, and (ii) utilization patterns and their drivers, using a household survey of 630 farmers and a phone survey of 404 SIP owners. In practice, farmers contributed only 4% of total SIP costs on average, as local governments frequently topped up AEPC’s subsidy, making SIPs nearly free. While this boosted affordability, the scheme is only weakly progressive: large farmers also benefit from near-complete subsidization, raising equity and fiscal concerns. The applicant pool is dominated by educated, wealthier, and socially advantaged groups, while marginalized farmers are often excluded due to weak information and institutional gatekeeping. Utilization is moderate, with SIPs operating around 745 h annually—well below their technical potential. Breakdowns, long repair delays (averaging 110 d), and missing after-sales services reduce use. Training in operation and maintenance increases utilization by 38%, while cultivation of water-intensive crops also drives higher use. Transparent communication of the full subsidy package, progressive cost-sharing to prioritize smallholders, and stronger investment in training and rapid-repair services are essential. Without such reforms, the program risks under-utilization and elite capture of subsidies, undermining SIPs’ transformative potential for agricultural resilience and low-carbon growth.