Research On the Development Trend of New Energy Vehicles Based on Multi-Model Analysis

Authors

  • Yimeng Zhao
  • Xin Wu
  • Hao Luo

DOI:

https://doi.org/10.54097/yhndx193

Keywords:

New Energy Vehicles, Gray Correlation Analysis, ARIMA, Multiple Linear Regression.

Abstract

This study aims to explore the dynamic factors and future trend of the development of the new energy automobile industry and its impact on the traditional automobile industry. First of all, through the gray correlation analysis, the research points out that the new energy vehicle industry is affected by many factors, especially the popularity of charging piles and the implementation of government subsidy policies are the key elements to promote the development of the industry. Then, the research uses the ARIMA model to predict the market trend of China's new energy electric vehicles in the next decade, showing an optimistic development blueprint. Further, using multiple linear regression analysis to comparing the differences between new energy and traditional fuel vehicle industry, it is found that new energy vehicles are gradually subverting the pattern of the traditional automobile market and gradually occupy the dominant position. This study not only provides important industry insights, but also proposes coping strategies and adjustment directions for policy makers and automobile manufacturers.

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References

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Published

20-05-2024