Author(s)

Xinyue Zhang ¹, Xuanyi Xiang ¹, Zheng Yang ¹

Affiliation(s)

¹ Sichuan University-Pittsburgh Institute, Chengdu, 610207, China

Corresponding Author

Zheng Yang

ABSTRACT

The rapid development of new energy electric vehicles (NEEVs) has garnered significant attention globally. This paper aims to analyze and understand the factors influencing the development of NEEVs and their potential impact on both the domestic and global automotive industries. Initially, this paper identifies key factors that significantly impact the industry's development and establish a multiple linear regression model to analyze these factors. Subsequently, this paper applies exponential smoothing and grey correlation analysis to conduct a comprehensive forecast of trends from multiple perspectives. Our analysis predicts that NEEVs will experience a steady rise over the next decade, especially in market share, making them increasingly competitive against traditional vehicles. Furthermore, NEEVs are poised to significantly disrupt the traditional energy vehicle industry through technological innovation and market demand.

KEYWORDS

New Energy Electric Vehicles (NEEVs), Multiple Linear Regression Model, Exponential Smoothing, Grey Correlation Analysis

CITE THIS PAPER

Xinyue Zhang, Xuanyi Xiang, Zheng Yang, A Study on the Future Development Prospects of New Energy Electric Vehicles Based on the Trend Determination Method. Journal of Electrotechnology, Electrical Engineering and Management (2024) Vol. 7: 66-75. DOI: http://dx.doi.org/10.23977/jeeem.2024.070209.

REFERENCES

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[3] Yuan, Xueliang, Xin Liu, and Jian Zuo. "The development of new energy vehicles for a sustainable future: A review." Renewable and Sustainable Energy Reviews 42 (2015): 298-305.
[4] Wang, Zhaohua, Chen Wang, and Yu Hao. "Influencing factors of private purchasing intentions of new energy vehicles in China." Journal of renewable and sustainable energy 5.6 (2013).
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[6] Olive, David J., and David J. Olive. Multiple linear regression. Springer International Publishing, 2017.
[7] Wu, Qian, and Yinggui Qiu. "Analysis of the Influencing Factors of China's Logistics Industry Based on Regression Model." 2019 International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2019.
[8] Jinyi Zha.Based on Multiple Linear Regression Model, Analyze the Influencing Factors of New Energy Vehicle Stock.Journal of Economics, Business and Management 11.2(2023).
[9] Billah, Baki, et al. "Exponential smoothing model selection for forecasting." International journal of forecasting 22.2 (2006): 239-247.
[10] Zheng, Qiong-jie, Huan-huan Zhao, and Ru He. "The competitiveness measurement of new energy vehicle industry based on grey relational analysis." Math. Biosci. Eng 20.2 (2023): 3146-3176.

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