Welcome to Francis Academic Press

Academic Journal of Business & Management, 2020, 2(4); doi: 10.25236/AJBM.2020.020410.

Research on Influencing Factors of Coal Price Based on Multiple Regression Model

Author(s)

Qing Lv

Corresponding Author:
Qing Lv
Affiliation(s)

Anhui University of Finance and Economics, Bengbu, Anhui, 233030

Abstract

The article is based on a series of data related to the coal industry from May 2019 to April 2020, Firstly, the grey correlation model is used to screen out the factors with higher correlation degree with coal price, and then the multiple regression model is used to explore the influence degree and direction of each factor. Finally, it is concluded that rail traffic volume, ppi, fob and coal demand have influences on coal price, And put forward relevant Suggestions according to the results of the model, so as to promote the stable development of coal industry.

Keywords

Coal Price, influencing factors, gray correlation, multiple regression

Cite This Paper

Qing Lv. Research on Influencing Factors of Coal Price Based on Multiple Regression Model . Academic Journal of Business & Management (2020) Vol. 2, Issue 4: 85-91. https://doi.org/10.25236/AJBM.2020.020410.

References

[1] Zhu jimao. Analysis and forecast of influencing factors of coal price in China [J]. China coal, 2017, 43(11):20-24.
[2] Tang Yijun, Su Xu. Analysis of Influencing Factors of Coal price in China based on multidimensional Grey Model [J]. Journal of Liaoning University of Engineering and Technology (Social Science edition), 2012, 20(06):418-423.
[3] Zhang Tonggong, Zhao Dezhi. Empirical Research on influencing Factors of Coal price Fluctuation in China [J]. China Energy, 2008, 40(03):16-21.
[4] Feng Caicai. Based on the mechanism of dynamic and static perspective coal price fluctuation and the coal enterprise strategy research in China [D]. China mining university, 2017.
[5] Zhang Dongyang. Research on Coal Pricing Model and Design of Decision Support System in China [J]. China Coal, 2008, 44(10):113-118.
[6] Guo Yu. The impact of aging population on China's Labor Supply [J]. Economic Theory and Economic Management, 2013(11):49-58.