000002369 001__ 2369
000002369 005__ 20181220113748.0
000002369 022__ $$a0040-5833
000002369 0247_ $$2DOI$$a10.1007/s11238-017-9631-y
000002369 037__ $$aARTICLE
000002369 041__ $$aeng
000002369 245__ $$aModeling purchases of new cars :$$ban analysis of the 2014 French market
000002369 260__ $$c2018
000002369 269__ $$a2018-03
000002369 300__ $$a25 p.
000002369 506__ $$avisible
000002369 520__ $$9eng$$aThis paper analyzes and compares different policy scenarios as well as discusses price elasticities and willingness to pay and to accept using revealed preference (RP) data from the French new-car market in 2014 by means of a cross-nested logit (CNL) model. We focus particularly on electric and hybrid vehicles. We use interactions between the cost (both fixed and running costs) and the household income to analyze the sensitivity towards different policy scenarios per income level. Results show that the willingness to pay and to accept obtained in our study is consistent with the real-market conditions. We also find that the most effective scenario to increase the market shares of new sold electric vehicles is that of a major technological advance such as a decrease in price due to cheaper manufacturing costs and an increase in driving range, rather than a policy-based scenario. In addition, the market segment that has more potential to increase the market shares of electric vehicle purchase is the middle-income level. In the paper, we discuss how to overcome the difficulties of working with revealed preference data, and propose multiple imputations to impute the attributes of the unchosen alternatives, by drawing from their empirical distributions.
000002369 546__ $$aEnglish
000002369 540__ $$acorrect
000002369 592__ $$aHEIG-VD
000002369 592__ $$bIIDE - Institut Interdisciplinaire du Développement de l'Entreprise
000002369 592__ $$cEconomie et Services
000002369 65017 $$aEconomie/gestion
000002369 6531_ $$9eng$$acar-type choice
000002369 6531_ $$9eng$$apolicy analysis
000002369 6531_ $$9eng$$arevealed preference data
000002369 6531_ $$9eng$$across-nested logit
000002369 655__ $$ascientifique
000002369 700__ $$aFernández-Antolín, Anna$$uSchool of Architecture, Civil and Environmental Engineering, Lausanne, Switzerland
000002369 700__ $$aLapparent, Matthieu de$$uHaute école d’ingénierie et de gestion du canton de Vaud, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale
000002369 700__ $$aBierlaire, Michel$$uSchool of Architecture, Civil and Environmental Engineering, Lausanne, Switzerland
000002369 773__ $$g2018, vol. 84, no. 2, pp. 277–303$$tTheory and decision
000002369 8564_ $$s491629$$uhttps://hesso.tind.io/record/2369/files/Lapparent_2018_modeling_purchases_new_cars.pdf
000002369 8564_ $$s1802742$$uhttps://hesso.tind.io/record/2369/files/Lapparent_2018_modeling_purchases_new_cars.pdf?subformat=pdfa$$xpdfa
000002369 906__ $$aGREEN
000002369 909CO $$ooai:hesso.tind.io:2369$$pGLOBAL_SET
000002369 950__ $$aI2
000002369 980__ $$ascientifique