IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v83y2016icp30-41.html
   My bibliography  Save this article

The potential of electromobility in Austria: Evidence from hybrid choice models under the presence of unreported information

Author

Listed:
  • Bahamonde-Birke, Francisco J.
  • Hanappi, Tibor

Abstract

This paper analyses the impact of the introduction of electromobility in Austria, focusing specifically on the potential demand for electric vehicles in the automotive market. We estimate discrete choice behavioral mixture models considering latent variables; these allows us to deal with this potential demand as well as to analyze the effect of different attributes of the alternatives over the potential market penetration. We find out that some usual assumptions regarding electromobility also hold for the Austrian market (e.g. proclivity of green-minded people and reluctance of older individuals), while others are only partially valid (e.g. the power of the engine is not relevant for purely electric vehicles). Along the same line, it is established that some policy incentives would have a positive effect for the demand for electrical cars, while others – such as an annual Park and Ride subscription or a one-year-ticket for public transportation – would not increase the willingness-to-pay for electromobility. Our work suggests the existence of reliability thresholds concerning the availability of charging stations.

Suggested Citation

  • Bahamonde-Birke, Francisco J. & Hanappi, Tibor, 2016. "The potential of electromobility in Austria: Evidence from hybrid choice models under the presence of unreported information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 30-41.
  • Handle: RePEc:eee:transa:v:83:y:2016:i:c:p:30-41
    DOI: 10.1016/j.tra.2015.11.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856415002669
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    2. Zellner, Arnold, 1970. "Estimation of Regression Relationships Containing Unobservable Independent Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 11(3), pages 441-454, October.
    3. Jenn, Alan & Azevedo, Inês L. & Ferreira, Pedro, 2013. "The impact of federal incentives on the adoption of hybrid electric vehicles in the United States," Energy Economics, Elsevier, vol. 40(C), pages 936-942.
    4. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    5. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    6. Anders Jensen & Elisabetta Cherchi & Juan Dios Ortúzar, 2014. "A long panel survey to elicit variation in preferences and attitudes in the choice of electric vehicles," Transportation, Springer, vol. 41(5), pages 973-993, September.
    7. Sexton, Steven E. & Sexton, Alison L., 2014. "Conspicuous conservation: The Prius halo and willingness to pay for environmental bona fides," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 303-317.
    8. Joan L. Walker & Moshe Ben-Akiva, 2011. "Advances in Discrete Choice: Mixture Models," Chapters,in: A Handbook of Transport Economics, chapter 8 Edward Elgar Publishing.
    9. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    10. Bhat, Chandra R. & Gossen, Rachel, 2004. "A mixed multinomial logit model analysis of weekend recreational episode type choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 767-787, November.
    11. Diamond, David, 2009. "The impact of government incentives for hybrid-electric vehicles: Evidence from US states," Energy Policy, Elsevier, vol. 37(3), pages 972-983, March.
    12. Xingping Zhang & Jian Xie & Rao Rao & Yanni Liang, 2014. "Policy Incentives for the Adoption of Electric Vehicles across Countries," Sustainability, MDPI, Open Access Journal, vol. 6(11), pages 1-23, November.
    13. Hwa Nyeon Kim & W. Douglass Shaw & Richard T. Woodward, 2007. "The Distributional Impacts of Recreational Fees: A Discrete Choice Model with Incomplete Data," Land Economics, University of Wisconsin Press, vol. 83(4), pages 561-574.
    14. Fontaras, Georgios & Samaras, Zissis, 2010. "On the way to 130 g CO2/km--Estimating the future characteristics of the average European passenger car," Energy Policy, Elsevier, vol. 38(4), pages 1826-1833, April.
    15. Sanko, Nobuhiro & Hess, Stephane & Dumont, Jeffrey & Daly, Andrew, 2014. "Contrasting imputation with a latent variable approach to dealing with missing income in choice models," Journal of choice modelling, Elsevier, vol. 12(C), pages 47-57.
    16. William Breffle & Edward Morey & Jennifer Thacher, 2011. "A Joint Latent-Class Model: Combining Likert-Scale Preference Statements With Choice Data to Harvest Preference Heterogeneity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 83-110, September.
    17. Joan L. Walker & Moshe Ben-Akiva & Denis Bolduc, 2007. "Identification of parameters in normal error component logit-mixture (NECLM) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1095-1125.
    18. Hall, Jane & Fiebig, Denzil G. & King, Madeleine T. & Hossain, Ishrat & Louviere, Jordan J., 2006. "What influences participation in genetic carrier testing?: Results from a discrete choice experiment," Journal of Health Economics, Elsevier, vol. 25(3), pages 520-537, May.
    19. Hess, Stephane & Train, Kenneth E. & Polak, John W., 2006. "On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 147-163, February.
    20. Fontaras, Georgios & Dilara, Panagiota, 2012. "The evolution of European passenger car characteristics 2000–2010 and its effects on real-world CO2 emissions and CO2 reduction policy," Energy Policy, Elsevier, vol. 49(C), pages 719-730.
    21. Shafiei, Ehsan & Thorkelsson, Hedinn & Ásgeirsson, Eyjólfur Ingi & Davidsdottir, Brynhildur & Raberto, Marco & Stefansson, Hlynur, 2012. "An agent-based modeling approach to predict the evolution of market share of electric vehicles: A case study from Iceland," Technological Forecasting and Social Change, Elsevier, vol. 79(9), pages 1638-1653.
    22. Anders Skonhoft & Bjart Holtsmark, 2014. "The Norwegian support and subsidy of electric cars. Should it be adopted by other countries?," Working Paper Series 15814, Department of Economics, Norwegian University of Science and Technology.
    23. Eppstein, Margaret J. & Grover, David K. & Marshall, Jeffrey S. & Rizzo, Donna M., 2011. "An agent-based model to study market penetration of plug-in hybrid electric vehicles," Energy Policy, Elsevier, vol. 39(6), pages 3789-3802, June.
    24. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.
    25. Macharis, Cathy & Van Hoeck, Ellen & Pekin, Ethem & van Lier, Tom, 2010. "A decision analysis framework for intermodal transport: Comparing fuel price increases and the internalisation of external costs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 550-561, August.
    26. Fosgerau, M. & Bierlaire, M., 2009. "Discrete choice models with multiplicative error terms," Transportation Research Part B: Methodological, Elsevier, vol. 43(5), pages 494-505, June.
    27. Fontaras, Georgios & Samaras, Zissis, 2007. "A quantitative analysis of the European Automakers' voluntary commitment to reduce CO2 emissions from new passenger cars based on independent experimental data," Energy Policy, Elsevier, vol. 35(4), pages 2239-2248, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:eee:eejocm:v:25:y:2017:i:c:p:28-39 is not listed on IDEAS

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:83:y:2016:i:c:p:30-41. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.