In the context of economic globalization, China’s research on new energy vehicles will help promote the green transformation and sustainable development of China’s automobile industry, and make positive contributions to China’s stable economic growth and global environmental governance. According to the development status of the new energy electric vehicle industry, this paper collects the relevant data of the development of China’s new energy electric vehicle industry, and constructs an indicator system to evaluate the development degree of the electric vehicle industry. Then, histogram and descriptive statistics were used to test the normal distribution of the data, and Spearman correlation coefficient was used to conduct a preliminary analysis of the impact of each indicator on the development of China’s new energy electric vehicle industry. Finally, multicollinearity test and linear correlation test were carried out on the data, and the regression coefficient of each index and the influence of each index on the control variables were determined by LASSO regression model.

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Analysis of Influencing Factors of New Energy Electric Vehicles in China Based on LASSO Model

  • Nian Min,
  • Xiang Bowen,
  • Gao Kao,
  • Cao Yan

摘要

In the context of economic globalization, China’s research on new energy vehicles will help promote the green transformation and sustainable development of China’s automobile industry, and make positive contributions to China’s stable economic growth and global environmental governance. According to the development status of the new energy electric vehicle industry, this paper collects the relevant data of the development of China’s new energy electric vehicle industry, and constructs an indicator system to evaluate the development degree of the electric vehicle industry. Then, histogram and descriptive statistics were used to test the normal distribution of the data, and Spearman correlation coefficient was used to conduct a preliminary analysis of the impact of each indicator on the development of China’s new energy electric vehicle industry. Finally, multicollinearity test and linear correlation test were carried out on the data, and the regression coefficient of each index and the influence of each index on the control variables were determined by LASSO regression model.