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Big Data Analysis of Energy Economics in Coal Market

In: Big Data in Energy Economics

Author

Listed:
  • Hui Liu

    (Central South University)

  • Nikolaos Nikitas

    (University of Leeds)

  • Yanfei Li

    (Hunan Agricultural University)

  • Rui Yang

    (Central South University)

Abstract

Coal is known as industrial food and black gold, and its price changes not only affect the production and operation of the coal industry, but also affect the country's investment, consumption, import and export, and overall economic development. This chapter introduces the important role of coal in the field of energy economics and analyzes the factors that influence coal price fluctuations. Then, through correlation analysis, this chapter selects several variables that have a strong relationship with coal price changes to conduct multi-input multi-output coal price prediction modeling. The effects of decomposition method and Boosting method on model prediction accuracy are compared. Finally, the chapter concludes with an econometric analysis of international coal markets and big data technologies, and proposes policy recommendations for energy economic development in this context.

Suggested Citation

  • Hui Liu & Nikolaos Nikitas & Yanfei Li & Rui Yang, 2022. "Big Data Analysis of Energy Economics in Coal Market," Management for Professionals, in: Big Data in Energy Economics, chapter 0, pages 67-94, Springer.
    • Handle: RePEc:spr:mgmchp:978-981-16-8965-9_3
    DOI: 10.1007/978-981-16-8965-9_3
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    Cited by:

    1. Bożena Gajdzik & Magdalena Jaciow & Radosław Wolniak & Robert Wolny & Wieslaw Wes Grebski, 2024. "Diagnosis of the Development of Energy Cooperatives in Poland—A Case Study of a Renewable Energy Cooperative in the Upper Silesian Region," Energies, MDPI, vol. 17(3), pages 1-27, January.

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