Quantifying the environmental impact of electric vehicle adoption: an analysis of California's alternative energy vehicle market

This paper examines the environmental impact of the growing popularity of Electric Vehicles (EVs) by quantifying both the Rebound Effect and Substitution Effect in California. Given that California currently has the highest adoption rate of EVs in the United States, it serves as a key indicator for assessing the wider environmental benefits of EVs across the country. We categorize motivations for purchasing EVs into two types: those driven by the Substitution Effect and those attributable to the Rebound Effect. Our analysis suggests that the minimum threshold for replacing Internal Combustion Engine Vehicles (ICEVs) with EVs to achieve real energy savings—according to Jevons' Paradox—is approximately 34%. Furthermore, our review of data from the Alternative Fuels Data Center (AFDC) indicates a downward trend in both electricity and gasoline consumption over the past few years, suggesting that Jevons’ Paradox does not apply. Overall, this study not only highlights the environmental implications of EVs but also underscores the importance of considering both the Rebound and Substitution Effects in policies aimed at realizing actual energy savings.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-10-01
DOI
https://doi.org/10.1049/icp.2025.3292
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying the environmental impact of electric vehicle adoption: an analysis of California's alternative energy vehicle market

Michael T. Hernke, Hao Liang
IET conference proceedings.
Electric Vehicles and Infrastructure
article

Quantifying the environmental impact of electric vehicle adoption: an analysis of California's alternative energy vehicle market

Michael T. Hernke, Hao Liang
article en

Abstract

This paper examines the environmental impact of the growing popularity of Electric Vehicles (EVs) by quantifying both the Rebound Effect and Substitution Effect in California. Given that California currently has the highest adoption rate of EVs in the United States, it serves as a key indicator for assessing the wider environmental benefits of EVs across the country. We categorize motivations for purchasing EVs into two types: those driven by the Substitution Effect and those attributable to the Rebound Effect. Our analysis suggests that the minimum threshold for replacing Internal Combustion Engine Vehicles (ICEVs) with EVs to achieve real energy savings—according to Jevons' Paradox—is approximately 34%. Furthermore, our review of data from the Alternative Fuels Data Center (AFDC) indicates a downward trend in both electricity and gasoline consumption over the past few years, suggesting that Jevons’ Paradox does not apply. Overall, this study not only highlights the environmental implications of EVs but also underscores the importance of considering both the Rebound and Substitution Effects in policies aimed at realizing actual energy savings.

IET conference proceedings.Vol. 2025(26)
Northwestern University (US), University of Wisconsin–Madison (US), McCormick (United States) (US)
Openalex Percentile: Top 69%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantifying the environmental impact of electric vehicle adoption: an analysis of California's alternative energy vehicle market — Michael T. Hernke, Hao Liang · IET conference proceedings. (2025) | TGRS Research Map | TGRS