A probabilistic total cost of ownership model to evaluate the current and future prospects of electric cars uptake in Italy
Romeo Danielis (),
Marco Giansoldati and
Lucia Rotaris ()
Energy Policy, 2018, vol. 119, issue C, 268-281
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.
Keywords: Total cost of ownership; Passenger cars; Electric cars; Conventional cars (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (42)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301421518302404
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:119:y:2018:i:c:p:268-281
DOI: 10.1016/j.enpol.2018.04.024
Access Statistics for this article
Energy Policy is currently edited by N. France
More articles in Energy Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().