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Sensitivity Analysis of Factors Influencing Coal Prices in China

Author

Listed:
  • Jingye Lyu

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Chong Li

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Wenwen Zhou

    (School of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Jinsuo Zhang

    (School of Economics and Management, Yan’an University, Yan’an 716000, China)

Abstract

A scientific assessment of the sensitivity of the Chinese coal market has become an important research topic. This paper combines Gaussian Process Regression (GPR) and Sobol sensitivity analysis to construct a GPR–Sobol hybrid model innovatively applied to the Chinese coal market, thus addressing a gap in the economic applications of this method. The model is used to analyze the sensitivity of factors influencing coal prices in China. The GPR–Sobol model effectively handles nonlinear relationships, enabling an in-depth exploration of key factors affecting price volatility and quantifying their impacts, thus overcoming the limitations of traditional econometric models in nonlinear data processing. The results indicate that economic growth, energy prices, interest rates, exchange rates, and uncertainty factors exhibit high sensitivity and significantly impact coal price fluctuations in China. Coal prices in northwest China are more sensitive to interest rates and geopolitical risks, while prices in east and south China are more responsive to exchange rates but less so to economic policy uncertainty. Additionally, coal prices in north, south, and east China are highly sensitive to international energy prices, indicating that coal prices are dominated by the global energy market, yet their weak response to macroeconomic indicators suggests these regions is still insufficiently mature.

Suggested Citation

  • Jingye Lyu & Chong Li & Wenwen Zhou & Jinsuo Zhang, 2024. "Sensitivity Analysis of Factors Influencing Coal Prices in China," Mathematics, MDPI, vol. 12(24), pages 1-27, December.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:24:p:4019-:d:1549657
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    References listed on IDEAS

    as
    1. Lin, Boqiang & Song, Yijie, 2024. "Coal price shocks and economic growth: A province-level study of China," Energy Policy, Elsevier, vol. 193(C).
    2. Jingya Li & Ming-Hua Liu, 2019. "Interest rate liberalization and pass-through of monetary policy rate to bank lending rates in China," Frontiers of Business Research in China, Springer, vol. 13(1), pages 1-19, December.
    3. Jeffrey A. Frankel, 2008. "The Effect of Monetary Policy on Real Commodity Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 291-333, National Bureau of Economic Research, Inc.
    4. Duparc-Portier, Geoffroy & Figus, Gioele, 2024. "How should governments respond to energy price crises? A horse-race between fiscal policies," Energy Economics, Elsevier, vol. 130(C).
    5. Junjie Liu & Lang Liu, 2024. "Point and Interval Forecasting of Coal Price Adopting a Novel Decomposition Integration Model," Energies, MDPI, vol. 17(16), pages 1-17, August.
    6. Batten, Jonathan A. & Brzeszczynski, Janusz & Ciner, Cetin & Lau, Marco C.K. & Lucey, Brian & Yarovaya, Larisa, 2019. "Price and volatility spillovers across the international steam coal market," Energy Economics, Elsevier, vol. 77(C), pages 119-138.
    7. Wanping Yang & Ruoying Huang & Dong Li, 2024. "China’s high-quality economic development: a study of regional variations and spatial evolution," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-30, April.
    8. Jannatul Ferdaus & Bismark Kusi Appiah & Shapan Chandra Majumder & Anouba Acha Arnaud Martial, 2020. "A Panel Dynamic Analysis on Energy Consumption, Energy Prices and Economic Growth in Next 11 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 87-99.
    9. Deheng Xiao & Tengfei Sun & Kaixiang Huang, 2024. "Does the Innovative City Pilot Policy Promote Urban Energy Use Efficiency? Evidence from China," Sustainability, MDPI, vol. 16(17), pages 1-19, August.
    10. Shawhan, Daniel L. & Picciano, Paul D., 2019. "Costs and benefits of saving unprofitable generators: A simulation case study for US coal and nuclear power plants," Energy Policy, Elsevier, vol. 124(C), pages 383-400.
    11. Lin, Boqiang & Wang, Chonghao, 2021. "Impacts of coal prices on the performance of Chinese financial institutions: Does electricity consumption matter?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 884-896.
    12. Liu, Zhenhua & Chen, Shumin & Zhong, Hongyu & Ding, Zhihua, 2024. "Coal price shocks, investor sentiment, and stock market returns," Energy Economics, Elsevier, vol. 135(C).
    13. Li, Hui & Wu, Zixuan & Yuan, Xing & Yang, Yixuan & He, Xiaoqiang & Duan, Huiming, 2022. "The research on modeling and application of dynamic grey forecasting model based on energy price-energy consumption-economic growth," Energy, Elsevier, vol. 257(C).
    14. Xu, Mengjie & Li, Xiang & Li, Qianwen & Sun, Chuanwang, 2024. "LNBi-GRU model for coal price prediction and pattern recognition analysis," Applied Energy, Elsevier, vol. 365(C).
    15. Yifei Zhou, 2024. "Does the Concept of Green Development Promote High-Quality Urban Development?—An Empirical Analysis Based on the Pilot Policy of the “Zero-Waste City” in China," Sustainability, MDPI, vol. 16(18), pages 1-19, September.
    16. Lv Chen & Lingying Pan & Kaige Zhang, 2024. "The Dynamic Cointegration Relationship between International Crude Oil, Natural Gas, and Coal Price," Energies, MDPI, vol. 17(13), pages 1-14, June.
    17. Meyer Andrew & Pac Grzegorz, 2015. "How Responsive Are EU Coal-Burning Plants to Changes in Energy Prices?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 15(3), pages 1481-1506, July.
    18. Zaghdoudi, Taha & Tissaoui, Kais & Maaloul, Mohamed Hédi & Bahou, Younès & Kammoun, Niazi, 2023. "Asymmetric connectedness between oil price, coal and renewable energy consumption in China: Evidence from Fourier NARDL approach," Energy, Elsevier, vol. 285(C).
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