International Journal of Frontiers in Sociology, 2021, 3(8); doi: 10.25236/IJFS.2021.030814.
Yinglv Cao1, Bihui Huang2
1School of Mathematics, University of Jinan, Jinan, Shandong 250022, China
2Business School, University of Aberdeen, King’s College, Aberdeen, AB24 3FX, Britain
The development of industry is of vital importance to a country. The gross product of a country’s industrial sector can be used to measure the level of industrial development of the country. And the gross output value of a country's industrial sector is affected by many factors. This paper collects data on total industrial energy consumption, total industrial water consumption, fixed-asset investment in the manufacturing industry, and employment in the secondary industry from the National Bureau of Statistics of China. It uses method of econometrics to establish a multiple linear regression model, which has realistic meaning in economics and is statistically significant, and analyzes which factors have significance on industrial growth.
Gross Product of Industrial Sector, Influencing Factors, Multiple Linear Regression, Econometrics
Yinglv Cao, Bihui Huang. Research on the Influencing Factors of China’s Industrial Sector Gross Product Based on Multiple Linear Regression. International Journal of Frontiers in Sociology (2021), Vol. 3, Issue 8: 91-94. https://doi.org/10.25236/IJFS.2021.030814.
[1] Wang Yan, Su Yi, Gang Cui. Analysis of Quality Measurement and Factors of Industrial Growth in China. Productivity Research, 2020 (07): 77-81.
[2] Wang Peigang, Zhou Great Wall. Empirical Analysis and Dynamic Research on the Widening Income Gap of Chinese Residents- Interpretation based on Multiple Linear Regression Models. Management World, 2005 (11): 34-44-171-172.
[3] Tan Xin, Deng Guangming. Improvements in the Hetero-Difference White Test Methods, Statistics and Decision-Making, 2020, 36 (19): 42-46.
[4] Xinyi Shen, Yang Hong, Qiming Qin, Weilin Yuan, Sheng Chen, Trevor Grout, and Shaohua Zhao, (2011) Orientation Angle Calibration for Bare Soil Moisture Estimation Using Fully Polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing.vol. 49(12) pp.4987-4996.
[5] Yang Mei, Xiao Jing, Cai Hui. Multiple collinearity in multiple analysis and its treatment methods. China Health Statistics, 2012, 29 (04): 620-624.