Cited by 25Electric Vehicles and InfrastructureEnergy, Environment, and Transportation PoliciesVehicle emissions and performance

Heterogeneity in Economic and Carbon Benefits of Electric Technology Vehicles in the US

Desai, Ranjit R., Chen, Roger B., Hittinger, Eric, Williams, Eric·2020·Environmental Science & Technology

Abstract

To broadly contribute to sustainable mobility, electric technology vehicles (hybrid, electric, and plug-in-hybrid) must become more price competitive with internal combustion vehicles. This study assesses the economic and carbon benefits of electric technology vehicles in the U.S., accounting for household-by-household behavioral variability and geographical differences in fuel and electricity prices. This finer resolution provides insight into subsets of the population for whom adoption is economically or environmentally favorable, allowing us to construct marginal abatement cost curves for CO 2 that account for geographic, behavioral, and stock heterogeneities. Currently, low gasoline prices and high initial expense means that, without subsidies, few consumers benefit financially from electric technology vehicles (1.7% of drivers). However, improved technology dramatically and nonlinearly increases both the number of consumers that benefit and corresponding carbon emissions that could be abated without government subsidy. Our results clarify cost targets that electric vehicle technology must achieve in order to deliver net financial and subsidy-free environmental benefits.

Integrity signals

Registry

Crossref · 10.1021/acs.est.9b02874

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The simplified break-even calculation underscores the importance of the battery's carbon footprint but does not account for the multitude of other parameters that influence real-world lifetime CO2 emissions.

    “Notably, this simplified calculation underscores the importance of the battery’s CF but does not account for the multitude of other parameters36–38 that influence the real-world lifetime CO2 emissions of thermal and EVs.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Desai, R. R., Chen, R. B., Hittinger, E., & Williams, E.
Affiliations
  • Rochester Institute of Technology (US)
  • University of Hawaiʻi at Mānoa (US)
Corresponding author
Desai, Ranjit R.
Venue
Environmental Science & Technology
Published
2019-11-13
Volume
54
Issue
2
Pages
1136-1146
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2987148205
Cited by
25
References
61
Citations by year
2026: 2 · 2025: 3 · 2024: 6 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 6
FWCI
1.08
Type
journal article
Language
en
Open access
closed
Locations
  • Environmental Science & Technology (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Science Foundation (1605319)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
  • Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
Keywords
electric vehicles, plug-in hybrid electric vehicles, hybrid electric vehicles, vehicle adoption, gasoline prices, electricity prices, marginal abatement cost curves, CO2 abatement, electric vehicle subsidies, sustainable transport, United States
MeSH terms
Vehicle Emissions, Carbon, Electricity, Gasoline, Motor Vehicles

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review