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Reducing Overcapacity in China’s Coal Industry: A Real Option Approach

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  • Wei Wu

    (Xiamen University)

  • Boqiang Lin

    (Xiamen University)

Abstract

Coal accounts for more than 60% of China’s primary energy consumption. Due to the demand decline since 2013, the coal industry was facing the dilemmas of falling prices, overcapacity, and high debt ratios. Reduction of overcapacity of the coal industry has become a crucial task in China’s supply-side structural reform. This paper attempts to explain several issues related to overcapacity reduction in the coal industry. First, we analyze the characteristics of China’s coal market and the causes of over-capacity in the coal industry. It is revealed that the aggregate coal demand of China is price inelastic, and the coal enterprises own market power. In addition, we illustrate that current overcapacity is the result of enterprises’ rational expansion in the context of rapid growth in demand in the previous period. Second, different capacity reduction schemes are compared. The results suggest that some of the inefficient production capacity should be temporarily withdrawn from the market, rather than ordering all coal mine to limit production capacity in the same proportion. Third, we conduct a regression model to describe the long-term price trend of coal and establish a mean-reverting model to simulate the motion path of the coal price. According to the Monte Carlo simulation, we estimate the value of the real option of coal capacity and find it is higher than the capacity replacement cost. This demonstrates that the real option is economically feasible in application.

Suggested Citation

  • Wei Wu & Boqiang Lin, 2020. "Reducing Overcapacity in China’s Coal Industry: A Real Option Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1073-1093, April.
    • Handle: RePEc:kap:compec:v:55:y:2020:i:4:d:10.1007_s10614-018-9872-z
    DOI: 10.1007/s10614-018-9872-z
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    1. Fergus Green & Nicholas Stern, 2017. "China's changing economy: implications for its carbon dioxide emissions," Climate Policy, Taylor & Francis Journals, vol. 17(4), pages 423-442, May.
    2. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    3. Wang, Delu & Wang, Yadong & Song, Xuefeng & Liu, Yun, 2018. "Coal overcapacity in China: Multiscale analysis and prediction," Energy Economics, Elsevier, vol. 70(C), pages 244-257.
    4. ZhongXiang Zhang, 2016. "Making the Transition to a Low-Carbon Economy: The Key Challenges for China," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 3(2), pages 187-202, May.
    5. Lin, Boqiang & Jia, Zhijie, 2018. "The energy, environmental and economic impacts of carbon tax rate and taxation industry: A CGE based study in China," Energy, Elsevier, vol. 159(C), pages 558-568.
    6. Zhang, ZhongXiang, "undated". "Making China the transition to a low-carbon economy: Key challenges and responses," Working Papers 249516, Australian National University, Centre for Climate Economics & Policy.
    7. 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.
    8. Lin, Boqiang & Wu, Wei, 2017. "Cost of long distance electricity transmission in China," Energy Policy, Elsevier, vol. 109(C), pages 132-140.
    9. Zhang, Xiliang & Karplus, Valerie J. & Qi, Tianyu & Zhang, Da & He, Jiankun, 2016. "Carbon emissions in China: How far can new efforts bend the curve?," Energy Economics, Elsevier, vol. 54(C), pages 388-395.
    10. Lin, Boqiang & Liu, Chang, 2016. "Why is electricity consumption inconsistent with economic growth in China?," Energy Policy, Elsevier, vol. 88(C), pages 310-316.
    11. Berndt, Ernst R & Wood, David O, 1975. "Technology, Prices, and the Derived Demand for Energy," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 259-268, August.
    12. 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.
    13. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39(2), pages 137-137.
    14. Zhang, Yanfang & Zhang, Ming & Liu, Yue & Nie, Rui, 2017. "Enterprise investment, local government intervention and coal overcapacity: The case of China," Energy Policy, Elsevier, vol. 101(C), pages 162-169.
    15. Yin, Xiang & Chen, Wenying, 2013. "Trends and development of steel demand in China: A bottom–up analysis," Resources Policy, Elsevier, vol. 38(4), pages 407-415.
    16. Marta Biancardi & Giovanni Villani, 2017. "Robust Monte Carlo Method for R&D Real Options Valuation," Computational Economics, Springer;Society for Computational Economics, vol. 49(3), pages 481-498, March.
    17. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
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    3. Bolortuya Purev & Weida He, 2021. "Coal industrial supply chain network: Mongolian capabilities across the Asian market," Technium Social Sciences Journal, Technium Science, vol. 19(1), pages 401-411, May.

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