2011
DOI: 10.1016/j.ejor.2011.01.029
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A quantitative model of accelerated vehicle-retirement induced by subsidy

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Cited by 16 publications
(4 citation statements)
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“…Rather, the list represents a sample of analyses on the effectiveness of vehicle retirement programs: prospective [8][9][10][11][12]; and retrospective [13][14][15][16][17][18]. Analyses on the optimal subsidy for vehicle retirement programs [19,20] are not on the list. A review of the analyses in Table 1 reveals the following.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Rather, the list represents a sample of analyses on the effectiveness of vehicle retirement programs: prospective [8][9][10][11][12]; and retrospective [13][14][15][16][17][18]. Analyses on the optimal subsidy for vehicle retirement programs [19,20] are not on the list. A review of the analyses in Table 1 reveals the following.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Unlike the static models in the above-cited papers, Lorentziadis and Vournas (2011) proposed a dynamic model where the demand for new vehicles is equal to the number of scrapped old vehicles and depends on a time-varying subsidy. However, the authors did not account for the impact of vehicle age in the decision to replace.…”
Section: Literature Backgroundmentioning
confidence: 99%
“…Besides the above empirical studies, researchers examined the environmental e¤ects of the scrappage program using various analytical models, which include the discrete analysis (e.g., Adda and Cooper, 2000), mass point duration model (e.g., Chen and Niemeier, 2005), integer program model (e.g., Gao and Stasko, 2009), cost-bene…t analysis (e.g., Lavee and Becker, 2009), life cycle optimization model (e.g., Kim et al 2003, Kim et al 2004, Spitzley et al 2005, Lenski et al 2010, and Basbagill et al 2013, and others (e.g., Chen et al 2010 andLorentziadis andVournas 2011).…”
Section: Literature Reviewmentioning
confidence: 99%