Research on ARIMA Model and Multiple Linear Regression Model of China's New Energy Vehicle Market Development Forecast Research

Faced with the global carbon neutrality goal and environmental pollution problems, new energy vehicles (NEVs) have become a key factor in achieving sustainable development due to their emission reduction and energy-saving characteristics. This study addresses the issue of predicting the growth trend of the NEV market in China by constructing a Pearson correlation analysis model to reveal the strong correlation between government R&D investment and NEV production and sales. The study also uses a multiple linear regression model to quantify the impact of different factors on NEV total sales, and an ARIMA model to forecast the development of the NEV market over the next ten years. The study's findings predict that the NEV market in China will show a stable growth trend from 2023 to 2032, with projected sales reaching 1.437,45 million by 2032. These findings provide important decision support for policymakers and industry stakeholders in strategic planning and resource allocation and have significant practical implications for promoting the healthy development of the new energy vehicle industry and responding to the global carbon neutrality goal.