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Focus on the current competitiveness of coal industry in China: Has the depression time gone?

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  • Song, Zongyun
  • Niu, Dongxiao
  • Xiao, Xinli

Abstract

Since 2012 the coal industry in China has deeply fallen into depression. When entering into 2015, the tragedy continued. What the future of China's coal is has confused the scholars and managers. In order to evaluate the current competitiveness of coal industry in China, the diamond model is employed in present study to analyze the influence of six components on the competitiveness, namely factor condition, demand condition, related and support department, firm strategy, structure and rivalry, government, chance. The result of diamond model shows that the coal industry suffers from excessive capacity, low industry concentration ratio, low price and low investment, etc. The current competitiveness of coal industry in China is not satisfactory. Fortunately, China government has issued lists of policies to recover the industry. Besides, some strategic plans provide great chances for the recovery of coal industry. At the end of this paper, a gear model is applied to design a dynamic competitiveness improvement mechanism of coal industry in China. The model shows that the power comes from the coal industry itself is the main active force to impel the improvement of coal industry competitiveness, and the government, chance, related and support department play accessory but indispensable roles.

Suggested Citation

  • Song, Zongyun & Niu, Dongxiao & Xiao, Xinli, 2017. "Focus on the current competitiveness of coal industry in China: Has the depression time gone?," Resources Policy, Elsevier, vol. 51(C), pages 172-182.
    • Handle: RePEc:eee:jrpoli:v:51:y:2017:i:c:p:172-182
    DOI: 10.1016/j.resourpol.2016.11.011
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    References listed on IDEAS

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    1. Nawrocki, Tomasz Leszek & Jonek-Kowalska, Izabela, 2016. "Assessing operational risk in coal mining enterprises – Internal, industrial and international perspectives," Resources Policy, Elsevier, vol. 48(C), pages 50-67.
    2. Zhao, Zhen Yu & Hu, Ji & Zuo, Jian, 2009. "Performance of wind power industry development in China: A DiamondModel study," Renewable Energy, Elsevier, vol. 34(12), pages 2883-2891.
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    Cited by:

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    2. Yu, Haimiao & Chen, Hong & Long, Ruyin, 2017. "Mental fatigue, cognitive bias and safety paradox in chinese coal mines," Resources Policy, Elsevier, vol. 52(C), pages 165-172.
    3. Xia, Dan & Zhang, Ling, 2022. "Coupling coordination degree between coal production reduction and CO2 emission reduction in coal industry," Energy, Elsevier, vol. 258(C).
    4. Li, Cunfang & Li, Danping & Dong, Mei, 2019. "The spillage effect of the transfer behavior of coal resource-exhausted enterprises and science and technology projects," Resources Policy, Elsevier, vol. 62(C), pages 385-396.
    5. Shuai Han & Hong Chen & Maggie-Anne Harvey & Eric Stemn & David Cliff, 2018. "Focusing on Coal Workers’ Lung Diseases: A Comparative Analysis of China, Australia, and the United States," IJERPH, MDPI, vol. 15(11), pages 1-26, November.
    6. Wang, Delu & Wan, Kaidi & Song, Xuefeng, 2018. "Coal miners’ livelihood vulnerability to economic shock: Multi-criteria assessment and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 301-314.
    7. Wang, Wei & Wu, Fengping & Li, Cunfang, 2021. "Relationship between cross-regional transfer and the environment based on the coal enterprises in China," Resources Policy, Elsevier, vol. 73(C).
    8. Wang, Delu & Wan, Kaidi & Song, Xuefeng, 2020. "Understanding coal miners’ livelihood vulnerability to declining coal demand: Negative impact and coping strategies," Energy Policy, Elsevier, vol. 138(C).
    9. Wang, Delu & Wan, Kaidi & Song, Xuefeng, 2018. "Quota allocation of coal overcapacity reduction among provinces in China," Energy Policy, Elsevier, vol. 116(C), pages 170-181.
    10. Yan He & Yung-ho Chiu & Bin Zhang, 2020. "Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry," SAGE Open, , vol. 10(3), pages 21582440209, July.

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