The "14th Five-Year" Plan for Industrial Green Development points out that China is still in the historical stage of in-depth industrialization, facing problems such as an overly heavy industrial structure, a coal-dominated energy structure, and low energy efficiency. Improving energy utilization efficiency and enhancing the efficient use of resources in the production process will be important challenges for a long time to come. This study focuses on analyzing the influencing factors of China's per capita energy production. Based on data of 8 variables (including total GDP, energy production growth rate, electricity production growth rate, primary industry added value, and end-of-year private car ownership) in China from 1991 to 2021 (a total of 31 years), we used Stata software to conduct a multiple linear regression analysis on the data. During the empirical analysis, we first tested the initial model for multicollinearity, then corrected problems like multicollinearity in the model. Finally, we drew conclusions and put forward suggestions based on the data analysis results.
Multiple Linear regression; Per capita energy production; Influencing factors.
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