FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2080452919> ?p ?o ?g. }

• W2080452919 endingPage "528" @default.
• W2080452919 startingPage "515" @default.
• W2080452919 abstract "E-mobility and diffusion of electric vehicles have become a major policy issue in many countries. For example, the German federal government pursues the strategy of achieving one million electric vehicles by 2020. In this paper we examine whether it is optimal to subsidize the use of electric vehicles by granting electric power subsidies and how large the corresponding optimal rate is. We, first, analytically derive the optimal power tax in a spatial model of a city with two zones where commuting, carbon emissions, endogenous labor supply, fuel and power taxes are considered. It is shown that in a spatial urban environment, the optimal tax rate depends in particular on transport related externalities, tax interaction effects and redistribution effects working via the urban land market. Second, we extend the model to a full spatial general equilibrium model and employ simulations to calculate sign and size of the optimal tax/subsidy rate. This model is calibrated to a typical German metropolitan area. The results show that electric vehicles should not be subsidized but taxed. The results are robust with respect to changes in the willingness to adopt electric vehicles, the costs of driving electric vehicles, and even if emissions of electric vehicles are zero." @default.
• W2080452919 created "2016-06-24" @default.
• W2080452919 creator A5075681223 @default.
• W2080452919 creator A5085206107 @default.
• W2080452919 date "2013-11-01" @default.
• W2080452919 modified "2023-09-27" @default.
• W2080452919 title "The optimal subsidy on electric vehicles in German metropolitan areas: A spatial general equilibrium analysis" @default.
• W2080452919 cites W1498288207 @default.
• W2080452919 cites W1922476223 @default.
• W2080452919 cites W1964593686 @default.
• W2080452919 cites W1973019101 @default.
• W2080452919 cites W1975420260 @default.
• W2080452919 cites W1976813603 @default.
• W2080452919 cites W1977224487 @default.
• W2080452919 cites W1982472015 @default.
• W2080452919 cites W1984392127 @default.
• W2080452919 cites W1999386912 @default.
• W2080452919 cites W2003916141 @default.
• W2080452919 cites W2007280358 @default.
• W2080452919 cites W2009339388 @default.
• W2080452919 cites W2010361007 @default.
• W2080452919 cites W2015949098 @default.
• W2080452919 cites W2018188664 @default.
• W2080452919 cites W2018932462 @default.
• W2080452919 cites W2021206787 @default.
• W2080452919 cites W2026916891 @default.
• W2080452919 cites W2030946562 @default.
• W2080452919 cites W2032685372 @default.
• W2080452919 cites W2035889296 @default.
• W2080452919 cites W2039206310 @default.
• W2080452919 cites W2042575518 @default.
• W2080452919 cites W2042900067 @default.
• W2080452919 cites W2054098884 @default.
• W2080452919 cites W2054810845 @default.
• W2080452919 cites W2060261446 @default.
• W2080452919 cites W2060505450 @default.
• W2080452919 cites W2061557870 @default.
• W2080452919 cites W2064556516 @default.
• W2080452919 cites W2070048230 @default.
• W2080452919 cites W2077664570 @default.
• W2080452919 cites W2078859034 @default.
• W2080452919 cites W2087127985 @default.
• W2080452919 cites W2088979024 @default.
• W2080452919 cites W2091133458 @default.
• W2080452919 cites W2094538569 @default.
• W2080452919 cites W2096800313 @default.
• W2080452919 cites W2098914534 @default.
• W2080452919 cites W2099593798 @default.
• W2080452919 cites W2105735911 @default.
• W2080452919 cites W2113918172 @default.
• W2080452919 cites W2119973742 @default.
• W2080452919 cites W2136446561 @default.
• W2080452919 cites W2167885723 @default.
• W2080452919 cites W2169116629 @default.
• W2080452919 cites W2252793872 @default.
• W2080452919 cites W2773365185 @default.
• W2080452919 cites W2890187108 @default.
• W2080452919 cites W3121353190 @default.
• W2080452919 cites W3123089085 @default.
• W2080452919 cites W3123821057 @default.
• W2080452919 cites W1592866881 @default.
• W2080452919 doi "https://doi.org/10.1016/j.eneco.2013.08.001" @default.
• W2080452919 hasPublicationYear "2013" @default.
• W2080452919 type Work @default.
• W2080452919 sameAs 2080452919 @default.
• W2080452919 citedByCount "66" @default.
• W2080452919 countsByYear W20804529192012 @default.
• W2080452919 countsByYear W20804529192013 @default.
• W2080452919 countsByYear W20804529192014 @default.
• W2080452919 countsByYear W20804529192015 @default.
• W2080452919 countsByYear W20804529192016 @default.
• W2080452919 countsByYear W20804529192017 @default.
• W2080452919 countsByYear W20804529192018 @default.
• W2080452919 countsByYear W20804529192019 @default.
• W2080452919 countsByYear W20804529192020 @default.
• W2080452919 countsByYear W20804529192021 @default.
• W2080452919 countsByYear W20804529192022 @default.
• W2080452919 countsByYear W20804529192023 @default.
• W2080452919 crossrefType "journal-article" @default.
• W2080452919 hasAuthorship W2080452919A5075681223 @default.
• W2080452919 hasAuthorship W2080452919A5085206107 @default.
• W2080452919 hasConcept C103382277 @default.
• W2080452919 hasConcept C121332964 @default.
• W2080452919 hasConcept C139719470 @default.
• W2080452919 hasConcept C142724271 @default.
• W2080452919 hasConcept C158739034 @default.
• W2080452919 hasConcept C16118543 @default.
• W2080452919 hasConcept C162324750 @default.
• W2080452919 hasConcept C163258240 @default.
• W2080452919 hasConcept C175444787 @default.
• W2080452919 hasConcept C2776422217 @default.
• W2080452919 hasConcept C2779755355 @default.
• W2080452919 hasConcept C34447519 @default.
• W2080452919 hasConcept C40293303 @default.
• W2080452919 hasConcept C62520636 @default.
• W2080452919 hasConcept C71924100 @default.
• W2080452919 hasConcept C84265765 @default.
• W2080452919 hasConceptScore W2080452919C103382277 @default.

• next