The ‘neighbor effect’: Simulating dynamics in consumer preferences for new vehicle technologies
By Paulus Mau, J. Eyzaguirre, Mark Jaccard, Colleen Collins-Dodd, K. Tiedemann. 2008
307 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/b59714a1381098f3b725eca01567e944a061fc5d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- André Hackbarth
- John Axsen
- Reinhard Madlener
- Richard G. Newell
- R. Stavins
- Eric Molin
- Lina Trosvik
- Filippa Egnér
In Renewable Energy, Sustainability and the Environment
- André Hackbarth
- John Axsen
- Reinhard Madlener
- Johan Jansson
- Jeremy J. Michalek
- Richard G. Newell
- S. Skippon
- C. Orlebar
Citations in the corpus
- Size matters: How vehicle body type affects consumer preferences for electric vehicles (2017, methodology): “Mau et al. (2008) employ an a priori segmentation of respondents by different levels of alternative-fuel vehicle market share to capture the ‘‘neighbour effect” of social and technological diffusion while Helveston et al. (2015) and Tanaka et al. (2014) segment their samples by country.”
- Electric vehicle adoption in Sweden and the impact of local policy instruments (2018, background): “, 2011) or simulation models (Eppstein et al., 2011; Mau et al., 2008; Mueller & de Haan, 2009) based on survey data, rather than models consisting of sales data.”
- Assessing the Energy-Efficiency Gap (2017, background): “The bulk of the evidence on information spillovers comes from the introduction of hybrid vehicles, drawing on both stated preference (Mau et al. 2008) and revealed preference studies (Axsen, Mountain, and Jaccard”
- Cost-effectiveness of plug-in hybrid electric vehicle battery capacity and charging infrastructure investment for reducing US gasoline consumption (2013, background): “Studies conducted using surveys have estimated consumer discount rates for alternative vehicle purchases in the range of 20%– 50% with the most likely value closer to 20% (Mau et al., 2008; Horne et al., 2005).”
- German car buyers’ willingness to pay to reduce CO2 emissions (2012, unknown): “, Hensher 2010); the approach of pivoting or customization is common and well documented in the transportation literature (e.g., Axsen et al. 2009; Mau et al. 2008; Hensher et al. 2005; Horne et al. 2005; Greene and Hensher 2003; Ewing and Sarigöllü 2000, 1998; Bunch et al. 1993).”
- Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis (2013, background): “Our study builds on the rich body of literature on the demand for AFVs, which has been primarily carried out in the US (Beggs et al., 1981; Calfee, 1985; Bunch et al., 1993; Golob et al., 1993; Brownstone and Train, 1999; Brownstone et al., 2000; Axsen et al., 2009; Hidrue et al., 2011; Musti and Ko”
- Consumer preferences for electric vehicles: a literature review (2017, background): “Social norm has also 266 F. LIAO ET AL. been found to be significant: a higher EV market share increases EV preference (Mau et al., 2008).”
- Modelling electric vehicle usage intentions: an empirical study in Malaysia (2015, background): “The ‘neighbour effect’ was found to influence consumers to purchase hybrid EVs (Mau et al., 2008).”
- Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms (2014, background): “For example, recent studies that examined consumer choice of hybrid and alternative fuel vehicles found discount rates in the range of 20% to 25% (Horne et al., 2005; Mau et al., 2008; Axsen et al., 2009).”
- A dissent-based approach for multi-stakeholder scenario development — The future of electric drive vehicles (2013, background): “[38] analysed dynamic customer preferences for alternative power engines and found a positive impact of altered environment conditions.”
- Social influence and consumer preference formation for pro-environmental technology: The case of a U.K. workplace electric-vehicle study (2013, background): “Some recent advancements attempt to incorporate social factors into such models through parameters representing aggregated preference changes (Axsen et al., 2009; Mau et al., 2008), information search channels (van Rijnsoever et al.”
- The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom (2018, background): “This finding is potentially indicative of an imitation effect, whereby citizens in nearby locations have a tendency to mimic the taste for EVs displayed by their neighbours (Mau et al. 2008).”