Analysis of Factors Influencing Electric Vehicle Sales Based on the Multiple Linear Regression Model

Yangjian Xiao

2025

Abstract

As electric vehicles are at the core of the global automotive industry's transformation and significantly reduce greenhouse gas emissions, understanding the owners of electric vehicle sales is important for policymakers and corporate partners. The main objective of this study is to examine the key drivers of electric vehicle (EV) sales, with a particular focus on market penetration and stock dynamics. To achieve this, the study employs multiple linear regression (MLR) analysis, a statistical technique that models the relationship between a dependent variable and multiple independent variables using a linear equation. Utilizing detailed information from 2010 to 2024 and predictions that extend to 2035, this research examines how combined EV stock, EV sales share, and EV stock share affect regular EV sales across different areas. The results indicate that combined EV stock and EV stock share are important indicators of EV sales, addressing the importance of boosting EV market presence to drive adoption. By measuring these associations, this study provides valuable insights for governments, businesses, and owners who want to encourage EV implementation through appropriate legislation changes. These results support more extensive efforts to promote responsible travel and decrease global carbon emissions.

Paper Citation

in Harvard Style

Xiao Y. (2025). Analysis of Factors Influencing Electric Vehicle Sales Based on the Multiple Linear Regression Model. In Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-774-0, SciTePress, pages 25-30. DOI: 10.5220/0013813400004708

in Bibtex Style

@conference{iampa25,
author={Yangjian Xiao},
title={Analysis of Factors Influencing Electric Vehicle Sales Based on the Multiple Linear Regression Model},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={25-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013813400004708},
isbn={978-989-758-774-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA
TI - Analysis of Factors Influencing Electric Vehicle Sales Based on the Multiple Linear Regression Model
SN - 978-989-758-774-0
AU - Xiao Y.
PY - 2025
SP - 25
EP - 30
DO - 10.5220/0013813400004708
PB - SciTePress