Measuring the cost-effectiveness of electric vehicle subsidies

•We develop a vehicle choice model using a representative sample of U.S. new car buyers.•We simulate and compare alternative federal PEV subsidy policies.•Existing federal incentives are expensive, $36k per additional PEV.•Cost-effectiveness can be improved 2× by targeting incentives by consumer typ...

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Veröffentlicht in:Energy economics 2019-10, Vol.84, p.104545, Article 104545
Hauptverfasser: Sheldon, Tamara L., Dua, Rubal
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Dua, Rubal
description •We develop a vehicle choice model using a representative sample of U.S. new car buyers.•We simulate and compare alternative federal PEV subsidy policies.•Existing federal incentives are expensive, $36k per additional PEV.•Cost-effectiveness can be improved 2× by targeting incentives by consumer type. 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, $36k 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.
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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, $36k 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. 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source PAIS Index; Access via ScienceDirect (Elsevier)
subjects Air pollution
Clean vehicles
Computer simulation
Consumption
Cost analysis
Costs
Decision making models
Effectiveness
Electric vehicles
Energy economics
Federal policy
Gasoline
Geography
Hybrid electric vehicles
Impact strength
Incentives
Simulation
Subsidies
Transportation policy
Travel demand
title Measuring the cost-effectiveness of electric vehicle subsidies
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