Analysis of Factors That Affect the Price of Electric Vehicles

Electric Vehicles (EV) market is a newly founded market with good development prospects. Given that the EV has specific benefits compared to conventional cars, such as no tailpipe exhaust emissions, which is great for solving air pollution, which is a global issue nowadays. For the sake of getting a better understanding of the factors of the price of EV, this paper utilized multivariable linear regression model to determine the influential factors of the market price of EV. A creditable dataset is used as the basis for this study. This paper set the price of the EV as dependent variable, discovered its relationship with 11 independent variables from the dataset. Yet the sample size is limited to 100, which means that the results of this model can be improved. Moreover, the adjusted R- squared value of this model is only 0.766, so other advanced models should be considered to use, or other variables should be added in to the consideration.

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Publication Details

Journal
Theoretical and Natural Science
Published
2025-05-23
DOI
https://doi.org/10.54254/2753-8818/2025.23149
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of Factors That Affect the Price of Electric Vehicles

R. Wang, Haoyuan Ou
Theoretical and Natural Science
Electric Vehicles and Infrastructure
article

Analysis of Factors That Affect the Price of Electric Vehicles

R. Wang, Haoyuan Ou
article en

Abstract

Electric Vehicles (EV) market is a newly founded market with good development prospects. Given that the EV has specific benefits compared to conventional cars, such as no tailpipe exhaust emissions, which is great for solving air pollution, which is a global issue nowadays. For the sake of getting a better understanding of the factors of the price of EV, this paper utilized multivariable linear regression model to determine the influential factors of the market price of EV. A creditable dataset is used as the basis for this study. This paper set the price of the EV as dependent variable, discovered its relationship with 11 independent variables from the dataset. Yet the sample size is limited to 100, which means that the results of this model can be improved. Moreover, the adjusted R- squared value of this model is only 0.766, so other advanced models should be considered to use, or other variables should be added in to the consideration.

Theoretical and Natural ScienceVol. 106(1)
Canadian University of Dubai (AE), Nanjing Foreign Language School (CN)
Openalex Percentile: Top 91%
Electric Vehicles and Infrastructure
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