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02420nam a2200445Ia 4500 |
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10.1016-j.eneco.2019.104545 |
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|a 01409883 (ISSN)
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|a Measuring the cost-effectiveness of electric vehicle subsidies
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|b Elsevier B.V.
|c 2019
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|z View Fulltext in Publisher
|u https://doi.org/10.1016/j.eneco.2019.104545
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|a Despite the prevalence of plug-in electric vehicle (PEV) subsidies, research on improving their cost-effectiveness and impact remains limited. To assess the scope for improving their cost-effectiveness, we develop a vehicle choice model-based counterfactual simulation using a large-scale nationally representative sample of U.S. new car buyers. Results suggest that existing federal incentives are expensive,
|3 6k per additional PEV, as every buyer gets the subsidy. The cost-effectiveness can be improved by twofold by targeting incentives by income, vehicle disposal, geography, and/or vehicle miles traveled. Preserving the federal policy's assignment of larger subsidies for PEVs with larger battery capacities results in greater battery electric vehicle (BEV) adoption, while policies not discriminating by battery capacity result in greater plug-in hybrid electric vehicle adoption. The reduction in gasoline consumption is the same in both the cases, with a slightly lower marginal cost for the latter. © 2019 Elsevier B.V.
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|a Air pollution
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|a Air pollution
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|a atmospheric pollution
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|a Battery capacity
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|a Battery electric vehicles
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|a Clean vehicles
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|a computer simulation
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|a Cost effectiveness
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|a cost-benefit analysis
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|a electric vehicle
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|a Federal incentives
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|a Federal policies
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|a numerical model
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|a Plug in Electric Vehicle (PEV)
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|a Plug in hybrid electric vehicles
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|a Plug-in electric vehicles
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|a Plug-in hybrid vehicles
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|a Representative sample
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|a Secondary batteries
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|a subsidy system
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|a Transportation policies
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|a transportation policy
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|a Transportation policy
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|a United States
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|a Vehicle-miles traveled
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|a Dua, R.
|e author
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|a Sheldon, T.L.
|e author
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|t Energy Economics
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