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Cited by 445

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Consumer purchase intentions for electric vehicles: Is green more important than price and range?

Open access
Degirmenci, Kenan, Breitner, Michael H.·2017·Transportation Research Part D: Transport and Environment

Abstract

In view of global warming and climate change, a transition from combustion to electric vehicles (EVs) can help to reduce greenhouse gas emissions and improve air quality. However, high acquisition costs and short driving ranges are considered to be main factors which impede the diffusion of EVs. Since electricity needs to be produced from renewable energy sources for EVs to be a true green alternative, the environmental performance of EVs is also presumed to be an important factor. This paper investigates the role of environmental performance compared to price value and range confidence regarding consumer purchase intentions for EVs. To develop our hypothesis, we interview 40 end-user subjects about their beliefs toward EVs. Then, we perform 167 test drives with a plug-in battery EV and conduct a survey with the participants to test the hypothesis. Results of a structural equation modeling support the hypothesis that the environmental performance of EVs is a stronger predictor of attitude and thus purchase intention than price value and range confidence.

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Metadata

Authors
Degirmenci, K., & Breitner, M. H.
Venue
Transportation Research Part D: Transport and Environment
Publisher
Elsevier BV
Published
2017-03
Volume
51
Pages
250-260
ISSN
1361-9209 (ISSN-L)
OpenAlex
W2582164146
Cited by
445
References
42
FWCI
8.50
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Consumer purchase intentions for electric vehicles: Is green more important than price and range? https://app.cochat.ai/papers/10.1016/j.trd.2017.01.001
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Degirmenci, K., & Breitner, M. H. (2017). Consumer purchase intentions for electric vehicles: Is green more important than price and range? Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2017.01.001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.