A Study on Forecasting Sales of New Energy Vehicles in China Based on Time Series Analysis
DOI:
https://doi.org/10.54097/n4sw8272Keywords:
New Energy Electric Vehicles, Traditional Energy Vehicles, Multiple Linear Regression, Time Series ARIMA Analysis Model, Sales Forecast.Abstract
Combining the methods of multiple linear regression and time series analysis, this paper forecasts the sales trend of China's new energy electric vehicles in the next 10 years by using the data of new energy electric vehicle sales from 2013-2022, and comprehensively analyzes the impact of multiple factors, such as policy, technology, economy, market, and environment, on China's new energy electric vehicle sales. The study selected 16 secondary indicators including government subsidies, vehicle sales, number of charging piles, GDP per capita, consumer satisfaction, carbon emissions, etc. for data analysis, highlighting the key role of technological factors in the development of the industry. The study concludes that China's new energy electric vehicle industry is expected to usher in a period of sustained growth as technology continues to advance and the market matures.
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