2020
DOI: 10.1016/j.erss.2019.101411
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Which plug-in electric vehicle policies are best? A multi-criteria evaluation framework applied to Canada

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Cited by 46 publications
(28 citation statements)
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“…Most common are those that incentivize ZEV sales through purchase subsidies (or exemptions from taxes), exemptions from tolls, access to high-occupancy vehicle lanes or bus lanes, or improved charging infrastructure 74,75 . Generally speaking, such incentives tend to have high public acceptability 41,76,77 . ZEV purchase subsidies can range from US$2,500-20,000 per vehicle, where larger incentives can indeed boost ZEV sales 66,[78][79][80][81] .…”
Section: Zev Incentives (Financial and Non-financial)mentioning
confidence: 99%
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“…Most common are those that incentivize ZEV sales through purchase subsidies (or exemptions from taxes), exemptions from tolls, access to high-occupancy vehicle lanes or bus lanes, or improved charging infrastructure 74,75 . Generally speaking, such incentives tend to have high public acceptability 41,76,77 . ZEV purchase subsidies can range from US$2,500-20,000 per vehicle, where larger incentives can indeed boost ZEV sales 66,[78][79][80][81] .…”
Section: Zev Incentives (Financial and Non-financial)mentioning
confidence: 99%
“…'Non-financial' incentives, such as access to high-occupancy vehicle lanes for ZEVs (regardless of vehicle occupancy), are typically found to have a weak impact on long-term ZEV adoption 75,76 . The rollout of charging infrastructure can also weakly support the adoption of electric-powered vehicles, where improved home charging opportunities in particular have a larger impact than increased public-or work-based charging 75,[83][84][85] .…”
Section: Zev Incentives (Financial and Non-financial)mentioning
confidence: 99%
“…A number of policies and incentives to support EV uptake are already in place in most European countries; several of them have shown a positive response from the market [15][16][17][18]. Melton et al [19] offer a broad classification on "demand-oriented", socalled consumer focused, and "supply-oriented" or industry-focused incentives, which for the purpose of this paper is an appropriate one. Among different pilot and well-established policy measures, there are fiscal and non-fiscal ones.…”
Section: Ev Diffusion Policiesmentioning
confidence: 99%
“…Several studies [14,20,21] pointed out that fiscal tools are some of the most successful ones in shaping consumer demand for EVs in the introductory phase of this new technology, while others state that there is still a public and scientific debate as to which of the policies provide an effective mix to boost EV numbers in private and company fleets in a given area, especially when it comes to cross-contamination of policy effects among different border regions [16,22,23]. Among non-fiscal incentives the most effective one was shown to be a wide diffusion of public charging infrastructures [16,24], existing demonstration projects [16,25,26], and changes in building codes to increase home-charging infrastructure [19], among others. Meanwhile, DellaValle and Zubaryeva [27], argue that even in the regions that show a high lead market for EV potential, still sales numbers in the fleet are lagging behind.…”
Section: Ev Diffusion Policiesmentioning
confidence: 99%
“…One change was proposed recently to the model (named the Bass generalized model-BGM) to make it possible to incorporate other decision variables, such as the technology price as a function of time [15]. Other projection models also stand out in the literature, for example, the respondentbased preference and constraint (REPAC) model, which uses a model of discrete choices Energies 2021, 14, 5435 2 of 19 previously estimated to project the EV sales [16,17]. It is important to note that the REPAC model uses a series of data (the data of EV users are collected using a questionnaire, which can bring a series of complications such as: difficulty in applying the questionnaire to competent organs; data quality, i.e., if the users answer honestly; the complexity increases according to the size of the area of study (city, state, country, etc.)…”
Section: Introductionmentioning
confidence: 99%