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Analysis of the Main Influencing Factors of Automobile Sales Based on Empirical Analysis
- 1 University of Southampton, Southampton, United Kingdom
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Abstract
The automobile industry has always been an essential pillar of China's national economy, but its rapid development needs strengthening. The renewal of tradi-tional fuel vehicles to new energy vehicles will be a point of growth for the auto-motive industry, which will also reduce environmental pollution. Although the state strongly advocates for people to buy new energy, the effect is insignificant. This paper uses SPSS and SPSSPRO software to establish a linear regression model and conduct an empirical analysis of car production, car ownership, oil consumption, road mileage, GDP, and gross national income. According to the model results, the most significant impact on car sales is car production, and oil consumption, road mileage, and GDP also affect car sales. At the same time, most of the independent variables are correlated. According to the model results, relevant suggestions are put forward to help boost the sales of new energy vehi-cles to maintain the development of the automobile industry and protect the environment.
Keywords
Car Sales, Influencing Factors, Empirical Analysis, SPSS, New Energy Vehicles
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Cite this article
Guan,W. (2023). Analysis of the Main Influencing Factors of Automobile Sales Based on Empirical Analysis. Advances in Economics, Management and Political Sciences,6,515-525.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2022 International Conference on Financial Technology and Business Analysis (ICFTBA 2022), Part 2
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