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Analysis on Influencing Factors of Pure Electric Vehicle Sales in Big Data Environment

Published: 23 March 2022 Publication History

Abstract

The electric vehicle industry in the field of new energy is developing rapidly, but the proportion of pure electric vehicles in the whole automobile industry is relatively small. In order to promote the rapid development of pure electric vehicle industry, Firstly, combined with the big data of consumers' car purchase, this paper analyzes the influencing factors of electric vehicle sales, and then conduct a questionnaire on customers and car owners who have purchased vehicles in different Direct stores of Wei lai automobile, The reliability and validity of the questionnaire were verified by SPSS data processing software, and the hypotheses were effectively verified by regression analysis. The analysis results show that the assumption that the product performance image, brand image, consumers' perception of Wei lai pure electric vehicles and government policies have a significant impact on the sales of Wei lai vehicles is correct. Accordingly, the corresponding specific measures are put forward.

References

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Chen K., Gu R., Hu J. (2019). “Research on purchase intention of new energy vehicles based on perceived return perceived risk framework”. Journal of Nanjing University of Technology (SOCIAL SCIENCE EDITION), 4:61-112.
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Yin J. L., Zhang Z. Q., Liao G. L., Ge X. Q. (2019). “Research on consumers' willingness to buy new energy vehicles based on Technology Acceptance Model and perceived risk theory”. Forecast, 38 (6): 83-89.
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Wang Z. S., Zhao H., Qin X. Z. (2016). “Customer perceived value and promotion strategy of household Automotive in China”. China management science, 24 (2): 125-133.
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Xue S. J. (2020). “Study on Influencing Factors of consumers' purchase intention of domestic new energy vehicles”. East China Jiaotong University.
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Chen L. (2020). “Study on Influencing Factors of consumers' purchase intention of BYD new energy vehicles”. Northwest University of agriculture and forestry science and technology.
[6]
Yin J. L., Zhang Z. Q., Liao G. L., Ge X. Q. (2019). “Research on consumers' willingness to buy new energy vehicles based on Technology Acceptance Model and perceived risk theory”. Forecast, 38 (6): 83-89.
[7]
Wang Z. S., Zhao H., Qin X. Z. (2016). “Customer perceived value and promotion strategy of household Automotive in China”. China management science, 24 (2): 125-133.
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Jiang A. H., Sheng X. L. (2017). “Research on influencing factors and guiding policies of consumers' purchase intention of new energy vehicles”. Financial science, 17 (5): 12-26.
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Fang X. H. (2019). “Research on influencing factors and guiding policies of consumers' purchase intention of new energy vehicles”. Research on policy and commercial law, 21: 168-169.
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Xue S. J. (2020). “Study on Influencing Factors of consumers' purchase intention of domestic new energy vehicles”. East China Jiaotong University.
[11]
Chen L. (2020). “Study on Influencing Factors of consumers' purchase intention of BYD new energy vehicles”. Northwest University of agriculture and forestry science and technology.

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EBEE '21: Proceedings of the 2021 3rd International Conference on E-Business and E-commerce Engineering
December 2021
331 pages
ISBN:9781450387392
DOI:10.1145/3510249
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 March 2022

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