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A First Look at Ontario’s Electric Vehicle Incentive Program

Who Are Ontario’s Green Drivers

Bibliographic Data

ID11967965
AuthorsCan Erutku (0000-0001-9934-3510, York University, corresponding author)
Year2020
Volume46
Issue1
Pages37-44
Publication date2020-02-18
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCanadian Public Policy (JOURNAL)
Journal identifiersISSN: 0317-0861 • E-ISSN: 1911-9917
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/cpp.2019-014
OpenAlexW3007113520
LanguageEN
Citations received2
References cited16

This article provides a first look at Ontario’s Electric Vehicle Incentive Program, which was designed to support the adoption of plug-in electric vehicles, reward early adopters, and stimulate market demand. Under this program, the Ontario government offered financial incentives to plug-in electric vehicle buyers. Although the market share of plug-in electric vehicles in Ontario followed an upward trend, it remained below 1 percent of the new car market for most of the program’s duration. Using multivariate regression, the fraction of program applicants in a postal code forward sortation area was found to be positively associated with the incidence of higher education and negatively associated with the fraction of individuals with short commutes. Financial incentives provided to install home charging stations may have been ineffective in promoting the adoption of plug-in electric vehicles. The effects of being married or living in a common-law relationship and median household income are not definitive because they depend on the approach (ordinary least squares or fractional probit) used to estimate the empirical model

Business · Early adopter · Econometrics · Economics · Electric cars · Government (linguistics · Incentive · Microeconomics · Ordinary least squares · Probit model · Electric Vehicles and Infrastructure · Energy, Environment, and Transportation Policies · Engineering · Transportation and Mobility Innovations · Marketing

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Unique citing works2
Citations per year0,67
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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