Study on the Influencing Factors of Thermal Coal Price

Authors

  • Miao Sun

DOI:

https://doi.org/10.6981/FEM.202410_5(10).0007

Keywords:

Thermal Coal; Coal Price; Grey Relational Analysis.

Abstract

Basic energy such as coal is of strategic significance to national development. It has long supported China's industrial and economic development and laid the foundation for China's energy use. The change of coal price reflects the change of coal market and energy market, affects the supply and demand balance of coal market, and also affects the change of internal structure and importance of coal industry. Scientific and effective prediction of future changes in coal prices can stabilize the development of the coal industry, provide a feasible reference for the prediction of other energy prices, and help the formulation of national macroeconomic regulation and control policies. Research and development of sustainable energy development and utilization is the only way for China to become a powerful country, and it is also a major country for China to cope with global climate change and promote low-carbon green development. This paper combines statistical knowledge, uses grey correlation analysis method, and combines SPSSPRO, EXCEL and other software to rank the nine factors affecting coal prices, and provides relevant policy recommendations to government departments according to the results, so as to provide guarantee for the stable development of the coal industry in the future.

Downloads

Download data is not yet available.

References

[1] Scientific Platform Serving for Statistics Professional 2021. SPSSPRO. (Version 1.0.11)[Online Application Software]. Retrieved from https://www.spsspro.com.

[2] Xu Weichao. [ J ]. Journal of Guangdong University of Technology, 2012,29 ( 3 ): 12-17.ohamInadA, Daniel N, Peter I C.Fu2zy relational grey analvsis for software effort estimation [ J ].Empircal Sotware Engineering, 2010,15 ( 1 ): 60-90.

[3] Azzeh M, Neagu D, Cowling P I.Fuzzy grey relational analysis for software effort estimation. [ M ]. Kluwer Academic Publishers, 2010. Decision tree algorithm and its core technology [ J ].Computer technology and development, 2007 ( 01 ): 43-45.

[4] Deng Julong.Grey Prediction and Grey Decision [ M ].Wuhan: Huazhong University of Science and Technology Press, 2002.

[5] Wang Yan. Applied Time Series Analysis [ M ]. Beijing: Renmin University of China Press, 2005.

[6] Lin Guoliang. Exploring the influencing factors of coal price changes [ J ].Business observation, 2022 ( 16 ): 20-22.

[7] Yuan Xianping, Li Wen. Analysis on the characteristics and influencing factors of coal price fluctuation under the background of environmental uncertainty [ J ]. Coal economic research, 2022,42 ( 11 ): 4-10.DOI: 10.13202 / j.cnki.cer.2022.11.002.

Downloads

Published

2024-10-11

Issue

Section

Articles

How to Cite

Sun, Miao , trans. 2024. “Study on the Influencing Factors of Thermal Coal Price”. Frontiers in Economics and Management 5 (10): 74-79. https://doi.org/10.6981/FEM.202410_5(10).0007.