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Does electric car knowledge influence car choice? Evidence from a hybrid choice model

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  • Giansoldati, Marco
  • Rotaris, Lucia
  • Scorrano, Mariangela
  • Danielis, Romeo

Abstract

We present the results of a stated preference study undertaken in Italy in 2017 on individuals’ preferences between an electric car (EC) and a petrol car, with the purpose of assessing the impact of the latent variable EC knowledge on purchasing decisions. We estimate a multinomial, a mixed and two hybrid mixed logit models, with the interaction between EC knowledge, car attributes and additional exogenous covariates. We use three measurement equations to estimate the self-assessed car knowledge, assessed EC knowledge and EC driving experience. We report three main findings. First, the inclusion of EC knowledge improves our capability to explain car choice. Second, the degree of EC knowledge does not change the negative perception respondents have, ceteris paribus, on ECs. Third, the level of EC knowledge influences the importance placed on the attributes of the choice model. Specifically, a higher level of EC knowledge is associated with a lower concern with fast charging station density. Our results are useful for car manufacturers who wish to improve their marketing strategies through tailored advertising efforts, and for policy makers who wish to implement educational campaigns as a means to foster EC uptake.

Suggested Citation

  • Giansoldati, Marco & Rotaris, Lucia & Scorrano, Mariangela & Danielis, Romeo, 2020. "Does electric car knowledge influence car choice? Evidence from a hybrid choice model," Research in Transportation Economics, Elsevier, vol. 80(C).
  • Handle: RePEc:eee:retrec:v:80:y:2020:i:c:s0739885920300159
    DOI: 10.1016/j.retrec.2020.100826
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    Cited by:

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    2. Bera, Reema & Maitra, Bhargab, 2021. "Assessing consumer preferences for Plug-in Hybrid Electric Vehicle (PHEV): An Indian perspective," Research in Transportation Economics, Elsevier, vol. 90(C).
    3. Charles Collet & Pascal Gastineau & Benoit Chèze & Pierre-Alexandre Mahieu & Frederic Martinez, 2022. "Combining economics and psychology: Does CO2 framing strengthen pro-environmental behaviors?," Working Papers hal-03321706, HAL.
    4. Benoit Chèze & Charles Collet & Anthony Paris, 2021. "Estimating discrete choice experiments : theoretical fundamentals," CIRED Working Papers hal-03262187, HAL.
    5. Jia, Wenjian & Jiang, Zhiqiu & Wang, Qian & Xu, Bin & Xiao, Mei, 2023. "Preferences for zero-emission vehicle attributes: Comparing early adopters with mainstream consumers in California," Transport Policy, Elsevier, vol. 135(C), pages 21-32.
    6. Di Foggia, Giacomo, 2021. "Drivers and challenges of electric vehicles integration in corporate fleet: An empirical survey," SocArXiv b3e56, Center for Open Science.
    7. Li, Lixu & Wang, Zhiqiang & Xie, Xiaoqing, 2022. "From government to market? A discrete choice analysis of policy instruments for electric vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 143-159.
    8. Aaditya, Bh. & Rahul, T.M., 2021. "Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach," Transport Policy, Elsevier, vol. 108(C), pages 47-58.
    9. Jia, Wenjian & Chen, T. Donna, 2023. "Investigating heterogeneous preferences for plug-in electric vehicles: Policy implications from different choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    10. Danielis, Romeo & Scorrano, Mariangela & Giansoldati, Marco, 2022. "Decarbonising transport in Europe: Trends, goals, policies and passenger car scenarios," Research in Transportation Economics, Elsevier, vol. 91(C).

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    More about this item

    Keywords

    Electric car knowledge; Hybrid choice models; Electric cars; Petrol cars;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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