Willingness to pay for electric vehicles and their attributes

By M. Hidrue, G. Parsons, W. Kempton, Meryl P. Gardner. 2011

1,154 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/df3c4059c9c7963e3da1e094647e4eb124f962cf

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Citations in the corpus

Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis (2013, methodology): “Thus, while our finding of young and middle-aged consumers being oriented towards electric vehicles matches with those of Ewing and Sarigöllü (1998), Hidrue et al. (2011), Ziegler (2012), and Achtnicht et al. (2012), our result of age negatively influencing the preference for hybrid vehicles is…”
Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan (2014, background): “Many demand studies for clean-fuel vehicles focus on an individual country: the US (Hidrue et al., 2011), Canada (Ewing and Sarigöllü, 2000; Potoglou and Kanaroglou, 2007; Mau et al., 2008), Germany (Ziegler, 2012; Achtnicht et al., 2012; Hackbarth and Madlener, 2013), Norway (Dagsvik et al, 2002),…”
A survey-based assessment of how existing and potential electric vehicle owners perceive range anxiety (2020, background): “The demographics of non-EV owners are consistent with those of individuals that show increased interest in electric vehicles (Hidrue et al., 2011), in a sense that the majority of the participants are well-educated and have a stable job.”
Willingness-to-pay for infrastructure investments for alternative fuel vehicles (2013, background): “After that, in response to California’s zero-emission vehicle mandate, studies regarding AFVs that include a measure of emission level as one of the vehicle attributes were carried out (Bunch et al., 1993; Brownstone et al., 1996, 2000; Brownstone and Train, 1999; see also Hidrue et al., 2011).”
How to activate moral norm to adopt electric vehicles in China? An empirical study based on extended norm activation theory (2018, background): “Consumer characteristics include age, gender, income, education levels, and environmentalist status (Coffman et al., 2017; Hidrue et al., 2011; Ozaki and Sevastyanova, 2011).”
Effectiveness of incentives on electric vehicle adoption in Norway (2016, background): “Stated preference studies have found income to be an important factor (Hidrue et al., 2011) while studies that have looked at cross country data on EV sales find it less conclusive (Sierzchula et al.”
How might potential future plug-in electric vehicle buyers differ from current “Pioneer” owners? (2016, background): “Discrete choice models quantify consumer preferences and are frequently utilized to model consumer demand for alternative-fuel vehicles (Bunch et al., 1993; Hidrue et al., 2011; Potoglou and Kanaroglou, 2007).”