IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v119y2018icp268-281.html
   My bibliography  Save this article

A probabilistic total cost of ownership model to evaluate the current and future prospects of electric cars uptake in Italy

Author

Listed:
  • Danielis, Romeo
  • Giansoldati, Marco
  • Rotaris, Lucia

Abstract

In order to evaluate the current and future prospects of electric cars’ in Italy, we develop a probabilistic total cost of ownership (TCO) model, which includes stochastic and non-stochastic variables, vehicle usage and contextual assumptions. We find that electric cars are currently not cost-competitive in Italy with the conventional petrol or diesel cars. However, they are cost-competitive with the hybrid electric cars when more than 10,000 km are annually traveled. With incentivizing policies (a €5,000 subsidy and a €400 parking and access fee annual savings), currently in place in a limited number of Italian Regions and cities, electric cars perform in monetary terms better than hybrid electric cars and some diesel cars, especially if they are charged at home. However, electric cars are expected to gain market share in the year 2025 if fuel prices follow past trends, even without subsidies. The driving force could be a drop in their retail price, thanks to declining battery pack costs, and a possible revision of the taxes on diesel.

Suggested Citation

  • Danielis, Romeo & Giansoldati, Marco & Rotaris, Lucia, 2018. "A probabilistic total cost of ownership model to evaluate the current and future prospects of electric cars uptake in Italy," Energy Policy, Elsevier, vol. 119(C), pages 268-281.
  • Handle: RePEc:eee:enepol:v:119:y:2018:i:c:p:268-281
    DOI: 10.1016/j.enpol.2018.04.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421518302404
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2018.04.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    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:enepol:v:119:y:2018:i:c:p:268-281. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.