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dc.contributor.authorWangsness, Paal Brevik
dc.coverage.spatialNorwaynb_NO
dc.date.accessioned2019-07-04T13:54:49Z
dc.date.available2019-07-04T13:54:49Z
dc.date.created2018-11-13T12:40:34Z
dc.date.issued2018-10-13
dc.identifier.citationTransportation Research Part D: Transport and Environment. 2018, 65 (December), 635-657.nb_NO
dc.identifier.issn1361-9209
dc.identifier.urihttp://hdl.handle.net/11250/2603473
dc.description.abstractIn this paper we examine what characterizes second-best road prices targeting external costs from driving electric (EV) and conventional (ICEV) vehicles when there are distortionary labor taxes and binding government budget constraints. Further, we examine how this second-best pricing fits with government set goals of reducing CO2 emissions. The paper further develops an analytical framework for assessing first- and second-best road prices on vehicle kilometers, extending it to include EVs and externalities that vary geographically and by time of day. We find that optimal road prices largely vary with external cost, but are also significantly affected by the interactions with the rest of the fiscal system. Not surprisingly, the highest road prices should be for ICEVs in large cities during peak hours due to high external costs. More surprisingly, we find that the road price for ICEVs in rural areas should be lower than that for EVs due to large fiscal interaction effects. These road prices give large welfare gains, but they lead to no reduction in carbon emissions when applying the currently recommended social cost of carbon.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleHow to road price in a world with electric vehicles and government budget constraintsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.rights.holder© 2018 Elsevier Ltd. All rights reserved.nb_NO
dc.description.versionacceptedVersionnb_NO
cristin.unitcode7482,3,1,0
cristin.unitnameSamfunnsøkonomiske analyser
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.doi10.1016/j.trd.2018.10.002
dc.identifier.cristin1629892
dc.source.journalTransportation Research Part D: Transport and Environmentnb_NO
dc.source.volume65nb_NO
dc.source.issueDecembernb_NO
dc.source.pagenumber635-657nb_NO
dc.relation.projectNorges forskningsråd: 255077nb_NO


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal