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Impact of coal sector’s de-capacity policy on coal price

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Listed:
  • Wang, Xiaofei
  • Liu, Chuangeng
  • Chen, Shaojie
  • Chen, Lei
  • Li, Ke
  • Liu, Na

Abstract

Coal is the main energy source of China. A decline in coal prices caused by overcapacity not only determines the survival of coal enterprises but also directly affects economic growth, energy security and industrial raw material supply. This study uses the difference-in-differences model to quantitatively evaluate the treatment effect of coal de-capacity policies on coal prices. Empirical results are summarised as follows. Firstly, the de-capacity policy positively influenced coal prices. The de-capacity policies in 2013 and 2016 increased coal price by 3.24% and 3.44%, respectively. Secondly, significant differences in the timeliness of the two de-capacity policies were observed. The effects of the 2013 and 2016 policies were observed in the first and seventh month after promulgation and lasted for 3 and 13 months, respectively. The main reason for this difference is that the latter policy clearly defined the task of de-capacity and its deadline. Thirdly, different de-capacity policy measures had various effects on coal prices. Strengthening the management of coal import and export decelerated the downward trend of coal prices, and restrictions on 276 working days per year boost coal prices. A market-oriented, early warning mechanism for overcapacity should be established considering the importance of policies to the stability of coal price. In addition, the policy should ensure the smooth operation of the coal industry through strict measures and synergy.

Suggested Citation

  • Wang, Xiaofei & Liu, Chuangeng & Chen, Shaojie & Chen, Lei & Li, Ke & Liu, Na, 2020. "Impact of coal sector’s de-capacity policy on coal price," Applied Energy, Elsevier, vol. 265(C).
  • Handle: RePEc:eee:appene:v:265:y:2020:i:c:s0306261920303147
    DOI: 10.1016/j.apenergy.2020.114802
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    References listed on IDEAS

    as
    1. Lorenz, Urszula & Grudzinski, Zbigniew, 2003. "Hard coal for energetic purposes: price-quality relationships; international coal market observations and Polish practice," Applied Energy, Elsevier, vol. 74(3-4), pages 271-279, March.
    2. He, Y.X. & Zhang, S.L. & Yang, L.Y. & Wang, Y.J. & Wang, J., 2010. "Economic analysis of coal price-electricity price adjustment in China based on the CGE model," Energy Policy, Elsevier, vol. 38(11), pages 6629-6637, November.
    3. Kanamura, Takashi, 2009. "A supply and demand based volatility model for energy prices," Energy Economics, Elsevier, vol. 31(5), pages 736-747, September.
    4. Chen, Zhan-Ming, 2014. "Inflationary effect of coal price change on the Chinese economy," Applied Energy, Elsevier, vol. 114(C), pages 301-309.
    5. Bejbl, Jan & Bemš, Julius & Králík, Tomáš & Starý, Oldřich & Vastl, Jaromír, 2014. "New approach to brown coal pricing using internal rate of return methodology," Applied Energy, Elsevier, vol. 133(C), pages 289-297.
    6. Ellerman, A Denny, 1995. "The world price of coal," Energy Policy, Elsevier, vol. 23(6), pages 499-506, June.
    7. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    8. Zhihua Ding & Caicai Feng & Zhenhua Liu & Guangqiang Wang & Lingyun He & Manzhi Liu, 2017. "Coal price fluctuation mechanism in China based on system dynamics model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1151-1167, January.
    9. Liu, Ming-Hua & Margaritis, Dimitris & Zhang, Yang, 2013. "Market-driven coal prices and state-administered electricity prices in China," Energy Economics, Elsevier, vol. 40(C), pages 167-175.
    10. Zhang, Yanfang & Nie, Rui & Shi, Xunpeng & Qian, Xiangyan & Wang, Ke, 2019. "Can energy-price regulations smooth price fluctuations? Evidence from China’s coal sector," Energy Policy, Elsevier, vol. 128(C), pages 125-135.
    11. Adrangi, Bahram & Chatrath, Arjun & Raffiee, Kambiz & D. Ripple, Ronald, 2001. "Alaska North Slope crude oil price and the behavior of diesel prices in California," Energy Economics, Elsevier, vol. 23(1), pages 29-42, January.
    12. Yang, Qing & Hou, Xiaochao & Zhang, Lei, 2018. "Measurement of natural and cyclical excess capacity in China's coal industry," Energy Policy, Elsevier, vol. 118(C), pages 270-278.
    13. Ju, Keyi & Su, Bin & Zhou, Dequn & Wu, Junmin, 2017. "Does energy-price regulation benefit China's economy and environment? Evidence from energy-price distortions," Energy Policy, Elsevier, vol. 105(C), pages 108-119.
    14. Li, Hong-Zhou & Tian, Xian-Liang & Zou, Tao, 2015. "Impact analysis of coal-electricity pricing linkage scheme in China based on stochastic frontier cost function," Applied Energy, Elsevier, vol. 151(C), pages 296-305.
    15. Shi, Xunpeng & Rioux, Bertrand & Galkin, Philipp, 2018. "Unintended consequences of China’s coal capacity cut policy," Energy Policy, Elsevier, vol. 113(C), pages 478-486.
    16. Wang, Qiang & Qiu, Huan-Ning & Kuang, Yaoqiu, 2009. "Market-driven energy pricing necessary to ensure China's power supply," Energy Policy, Elsevier, vol. 37(7), pages 2498-2504, July.
    17. Yang, Chi-Jen & Xuan, Xiaowei & Jackson, Robert B., 2012. "China's coal price disturbances: Observations, explanations, and implications for global energy economies," Energy Policy, Elsevier, vol. 51(C), pages 720-727.
    18. Cui, Herui & Wei, Pengbang, 2017. "Analysis of thermal coal pricing and the coal price distortion in China from the perspective of market forces," Energy Policy, Elsevier, vol. 106(C), pages 148-154.
    19. Wang, Yi-Shu & Xie, Bai-Chen & Shang, Li-Feng & Li, Wen-Hua, 2013. "Measures to improve the performance of China’s thermal power industry in view of cost efficiency," Applied Energy, Elsevier, vol. 112(C), pages 1078-1086.
    20. He, Yongxiu & Liu, Yangyang & Wang, Jianhui & Xia, Tian & Zhao, Yushan, 2014. "Low-carbon-oriented dynamic optimization of residential energy pricing in China," Energy, Elsevier, vol. 66(C), pages 610-623.
    21. Stern, David I., 2000. "A multivariate cointegration analysis of the role of energy in the US macroeconomy," Energy Economics, Elsevier, vol. 22(2), pages 267-283, April.
    22. Punzi, Maria Teresa, 2019. "The impact of energy price uncertainty on macroeconomic variables," Energy Policy, Elsevier, vol. 129(C), pages 1306-1319.
    23. Guo, Jin & Zheng, Xinye & Chen, Zhan-Ming, 2016. "How does coal price drive up inflation? Reexamining the relationship between coal price and general price level in China," Energy Economics, Elsevier, vol. 57(C), pages 265-276.
    24. Ma, Hengyun & Oxley, Les & Gibson, John, 2009. "Gradual reforms and the emergence of energy market in China: Evidence from tests for convergence of energy prices," Energy Policy, Elsevier, vol. 37(11), pages 4834-4850, November.
    25. Asche, Frank & Gjolberg, Ole & Volker, Teresa, 2003. "Price relationships in the petroleum market: an analysis of crude oil and refined product prices," Energy Economics, Elsevier, vol. 25(3), pages 289-301, May.
    26. Edelstein, Paul & Kilian, Lutz, 2009. "How sensitive are consumer expenditures to retail energy prices?," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 766-779, September.
    27. Shi, Xunpeng & Sun, Sizhong, 2017. "Energy price, regulatory price distortion and economic growth: A case study of China," Energy Economics, Elsevier, vol. 63(C), pages 261-271.
    28. Jiao, Jian-Ling & Ge, Hong-Zhen & Wei, Yi-Ming, 2010. "Impact analysis of China's coal-electricity price linkage mechanism: Results from a game model," Journal of Policy Modeling, Elsevier, vol. 32(4), pages 574-588, July.
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