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Abstract

To enhance domestic energy security and reduce air pollution, China has accelerated the deployment of alternative fuel vehicles including methanol vehicles since the 2010s. Already completed pilot projects have demonstrated that methanol vehicles (commercial fleet) are economical, environmentally friendly, and technically mature. Therefore, the Chinese government aims to continually deploy methanol vehicles in coal-rich provinces. There are more than 20,000 methanol taxis in operation in China, it is important to evaluate the existing consumer acceptance of such commercial fleet before commercialization in a wider range. This paper proposes a conceptual model to identify consumer acceptance of methanol taxis. The model generates hypotheses that have been tested using surveys completed by taxi drivers of methanol vehicles in the cities of Xi’an (Shaanxi province) and Guiyang (Guizhou province). Results demonstrate that market, economic, and technological concerns strongly determine the consumer acceptance of the commercial fleet of methanol vehicles in China.

Item Type:	Article
Authors/Creators:	Li, C and Negnevitsky, M and Wang, X and Wang, H and Hu, Y
Keywords:	methanol, methanol vehicle, structural equation model, consumer acceptance, China
Journal or Publication Title:	Frontiers in Energy Research
Publisher:	Frontiers Research Foundation
ISSN:	2296-598X
DOI / ID Number:	10.3389/fenrg.2021.792982
Copyright Information:	Copyright © 2021 Li, Negnevitsky, Wang, Wang and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Related URLs:	Google Scholar: Negnevitsky, M UTAS Profile: Negnevitsky, M Google Scholar: Wang, X UTAS Profile: Wang, X
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