Where have all the flowers gone? Forecasting green trends in the automobile industry with a choice-based conjoint adoption model

By Felix Eggers, F. Eggers. 2011

161 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/2eca331d1e8fefbedfa9e21ce2f7f3fde316a52a

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In Economics and Econometrics

In Management Science and Operations Research

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom (2018, methodology): “Employing a conjoint adoption model, Eggers and Eggers (2011) produce a number of short-term (2009-2018) adoption scenarios for EVs and utilise a series of critical factors inclusive of purchase price, driving range, timing of EV market entry, and environmental evolution in their uptake…”
Willingness-to-Pay for Alternative Fuel Vehicle Characteristics: A Stated Choice Study for Germany (2014, methodology): “…suggest that the density of the fuel station network positively influences the demand for the AFVs considered, 3 Achtnicht et al. (2012) regarded a quadratic representation for fuel station density, while Eggers and Eggers (2011) accounted for non-linearity in purchase price and driving range.”
What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models (2018, background): “, 2014 United States 2011–2020 aggregated [18] Eggers and Eggers, 2011 Germany 2009–2018 sales modeled [19] EIA - Annual Energy Outlook 2016 United States 2015–2040 sales modeled [20] Fu et al.”
Understanding charging behaviour of electric vehicle users (2013, background): “However, these effects are dependent on how an electric mobility system (EMS) is set up as well as how it is used (Eggers & Eggers, 2011; Franke, Bühler, Cocron, Neumann, & Krems, 2012).”
Forecasting the trajectory of electric vehicle sales and the consequences for worldwide CO2 emissions (2020, background): “Predicting EV sales over time is key for various stakeholders, including automobile producers, policymakers, and energy providers, to plan the production of EVs, set appropriate policies, and deliver a sufficient energy supply (Eggers and Eggers, 2011; Higgins et al., 2012).”
Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies (2013, methodology): “A study by Eggers and Eggers [99] developed a choice-based conjoint adoption model to predict HEV, PHEV and EV penetration rates using consumers preference modeling.”
Interrelationships between influential factors and behavioral intention with regard to autonomous vehicles (2018, background): “Since potential buyers of electric-powered vehicles are very price sensitive (Eggers & Eggers, 2011), the following hypothesis is proposed: H4: PS of AUVs has a negative effect on BI with regard to using AUVs.”