IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v52y2017icp39-53.html
   My bibliography  Save this article

Competitiveness analysis of coal industry in China: A diamond model study

Author

Listed:
  • Wu, Yunna
  • Xiao, Xinli
  • Song, Zongyun

Abstract

Under the effects of environmental pollution, macro-economical conditions, markets downturn, and squeeze of clean energy, the operation condition of China's whole coal industry attracts more attentions in recent years. This study aims to investigate the comprehensive competitiveness of coal industry in Chinese policy and economy environment. Then, this paper adopts diamond model to analyze internal and external factors that have significant influences on the competitiveness of China's coal industry, namely resource condition, demand condition, industry structure and enterprise strategy, related and support industries, the government, technology and chance. The research indicates that Chinese coal industry suffers from excessive capacity, low coal price and substitute of clean energy, etc. The current performance of Chinese coal industry is not optimistic. Fortunately, Chinese government unceasingly issues policies to support and regulate coal industry, and coal enterprises actively participate in industrial structure adjustments to deal with pressure of downturn. Furthermore, some national strategies, such as Ultra High Voltage transmission and ‘One Belt And One Road’, will greatly promote the recovery of domestic coal industry. In order to survive the downturn and sustain its fundamental position, coal industry should attach importance to these key factors in diamond model for each of them has crucial influences on the comprehensive competitiveness of Chinese coal industry.

Suggested Citation

  • Wu, Yunna & Xiao, Xinli & Song, Zongyun, 2017. "Competitiveness analysis of coal industry in China: A diamond model study," Resources Policy, Elsevier, vol. 52(C), pages 39-53.
  • Handle: RePEc:eee:jrpoli:v:52:y:2017:i:c:p:39-53
    DOI: 10.1016/j.resourpol.2017.01.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142071630085X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2017.01.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ancora, Maria Pia & Zhang, Lei & Wang, Shuxiao & Schreifels, Jeremy J. & Hao, Jiming, 2016. "Meeting Minamata: Cost-effective compliance options for atmospheric mercury control in Chinese coal-fired power plants," Energy Policy, Elsevier, vol. 88(C), pages 485-494.
    2. He, Kun & Zhu, Hongliang & Wang, Li, 2015. "A new coal gas utilization mode in China’s steel industry and its effect on power grid balancing and emission reduction," Applied Energy, Elsevier, vol. 154(C), pages 644-650.
    3. Xiaopeng Guo & Xiaodan Guo & Jiahai Yuan, 2014. "Impact Analysis of Air Pollutant Emission Policies on Thermal Coal Supply Chain Enterprises in China," Sustainability, MDPI, vol. 7(1), pages 1-21, December.
    4. Li Li & Yalin Lei & Dongyang Pan, 2015. "Economic and environmental evaluation of coal production in China and policy implications," 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. 77(2), pages 1125-1141, June.
    5. Dzonzi-Undi, Junice & Li, Shixiang, 2016. "Safety and environmental inputs investment effect analysis: Empirical study of selected coal mining firms in China," Resources Policy, Elsevier, vol. 47(C), pages 178-186.
    6. Lin, Yashen & Johnson, Jeremiah X. & Mathieu, Johanna L., 2016. "Emissions impacts of using energy storage for power system reserves," Applied Energy, Elsevier, vol. 168(C), pages 444-456.
    7. Chen, Hong & Feng, Qun & Cao, Jing, 2014. "Rent-seeking mechanism for safety supervision in the Chinese coal industry based on a tripartite game model," Energy Policy, Elsevier, vol. 72(C), pages 140-145.
    8. Yuan, Jiahai & Xu, Yan & Zhang, Xingping & Hu, Zheng & Xu, Ming, 2014. "China's 2020 clean energy target: Consistency, pathways and policy implications," Energy Policy, Elsevier, vol. 65(C), pages 692-700.
    9. Zhao, Zhen-yu & Zhang, Shuang-ying & Zuo, Jian, 2011. "A critical analysis of the photovoltaic power industry in China – From diamond model to gear model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4963-4971.
    10. Sun, Sizhong & Anwar, Sajid, 2015. "R&D status and the performance of domestic firms in China's coal mining industry," Energy Policy, Elsevier, vol. 79(C), pages 99-103.
    11. Cormos, Calin-Cristian, 2014. "Economic evaluations of coal-based combustion and gasification power plants with post-combustion CO2 capture using calcium looping cycle," Energy, Elsevier, vol. 78(C), pages 665-673.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pei-Hsuan Tsai & Chih-Jou Chen & Ho-Chin Yang, 2021. "Using Porter’s Diamond Model to Assess the Competitiveness of Taiwan’s Solar Photovoltaic Industry," SAGE Open, , vol. 11(1), pages 21582440209, January.
    2. Feng Liu & Tao Lv & Yuan Meng & Xiaoran Hou & Jie Xu & Xu Deng, 2022. "Low-Carbon Transition Paths of Coal Power in China’s Provinces under the Context of the Carbon Trading Scheme," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
    3. Chen, Qi & Li, Xinyuan & Zhang, Zhengjia & Zhou, Chao & Guo, Zhiling & Liu, Zhengguang & Zhang, Haoran, 2023. "Remote sensing of photovoltaic scenarios: Techniques, applications and future directions," Applied Energy, Elsevier, vol. 333(C).
    4. Wang, Delu & Chen, Fan & Mao, Jinqi & Liu, Nannan & Rong, Fangyu, 2022. "Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries," Energy Economics, Elsevier, vol. 114(C).
    5. Chen, Sai & Song, Yan & Zhang, Ming, 2021. "Study on the sustainability evaluation and development path selection of China’s coal base from the perspective of spatial field," Energy, Elsevier, vol. 215(PA).
    6. Wang, Junqi & Cao, Hongjun, 2022. "Improving competitive strategic decisions of Chinese coal companies toward green transformation: A hybrid multi-criteria decision-making model," Resources Policy, Elsevier, vol. 75(C).
    7. Zhang, Zhengjia & Wang, Qingxiang & Liu, Zhengguang & Chen, Qi & Guo, Zhiling & Zhang, Haoran, 2023. "Renew mineral resource-based cities: Assessment of PV potential in coal mining subsidence areas," Applied Energy, Elsevier, vol. 329(C).
    8. 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.
    9. Ye, Rui-Ke & Gao, Zhuang-Fei & Fang, Kai & Liu, Kang-Li & Chen, Jia-Wei, 2021. "Moving from subsidy stimulation to endogenous development: A system dynamics analysis of China's NEVs in the post-subsidy era," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    10. Fang, Kai & Zhou, Yunheng & Wang, Shuang & Ye, Ruike & Guo, Sujian, 2018. "Assessing national renewable energy competitiveness of the G20: A revised Porter's Diamond Model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 719-731.
    11. Tiantian Zhang & Ken’ichi Matsumoto & Kei Nakagawa, 2021. "The Relative Importance of Determinants of the Solar Photovoltaic Industry in China: Analyses by the Diamond Model and the Analytic Hierarchy Process," Energies, MDPI, vol. 14(20), pages 1-20, October.
    12. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tang, Erzi & Peng, Chong, 2017. "A macro- and microeconomic analysis of coal production in China," Resources Policy, Elsevier, vol. 51(C), pages 234-242.
    2. De Vivero-Serrano, Gustavo & Bruninx, Kenneth & Delarue, Erik, 2019. "Implications of bid structures on the offering strategies of merchant energy storage systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    3. Parlikar, Anupam & Truong, Cong Nam & Jossen, Andreas & Hesse, Holger, 2021. "The carbon footprint of island grids with lithium-ion battery systems: An analysis based on levelized emissions of energy supply," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    4. 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.
    5. Morshed, Mohammad Javad & Hmida, Jalel Ben & Fekih, Afef, 2018. "A probabilistic multi-objective approach for power flow optimization in hybrid wind-PV-PEV systems," Applied Energy, Elsevier, vol. 211(C), pages 1136-1149.
    6. Martin Haaf & Peter Ohlemüller & Jochen Ströhle & Bernd Epple, 2020. "Techno-economic assessment of alternative fuels in second-generation carbon capture and storage processes," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(2), pages 149-164, February.
    7. Li, Wei & Jia, Zhijie & Zhang, Hongzhi, 2017. "The impact of electric vehicles and CCS in the context of emission trading scheme in China: A CGE-based analysis," Energy, Elsevier, vol. 119(C), pages 800-816.
    8. Fang, Yiping & Wei, Yanqiang, 2013. "Climate change adaptation on the Qinghai–Tibetan Plateau: The importance of solar energy utilization for rural household," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 508-518.
    9. Shitao Gong & Xin Gao & Zhou Li & Linyan Chen, 2021. "Developing a Dynamic Supervision Mechanism to Improve Construction Safety Investment Supervision Efficiency in China: Theoretical Simulation of Evolutionary Game Process," IJERPH, MDPI, vol. 18(7), pages 1-29, March.
    10. Liu, Lu & Zhao, Qiuhong & Bi, Yanlin, 2020. "Why rent-seeking behavior may exist in Chinese mining safety production inspection system and how to alleviate it: A tripartite game analysis," Resources Policy, Elsevier, vol. 69(C).
    11. Zhang, Wenjie & Liu, Shan & Li, Nianping & Xie, Hui & Li, Xuanqi, 2015. "Development forecast and technology roadmap analysis of renewable energy in buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 395-402.
    12. Shuai Han & Hong Chen & Ruyin Long, 2020. "Who Reports Low Interactive Psychology Status? An Investigation Based on Chinese Coal Miners," IJERPH, MDPI, vol. 17(10), pages 1-20, May.
    13. Dzonzi-Undi, Junice & Li, Shixiang, 2016. "Safety and environmental inputs investment effect analysis: Empirical study of selected coal mining firms in China," Resources Policy, Elsevier, vol. 47(C), pages 178-186.
    14. Wang, Delu & Ma, Gang & Song, Xuefeng & Liu, Yun, 2017. "Energy price slump and policy response in the coal-chemical industry district: A case study of Ordos with a system dynamics model," Energy Policy, Elsevier, vol. 104(C), pages 325-339.
    15. Xiong, Yongqing & Yang, Xiaohan, 2016. "Government subsidies for the Chinese photovoltaic industry," Energy Policy, Elsevier, vol. 99(C), pages 111-119.
    16. Chen, Sen-Sen & Xu, Jin-Hua & Fan, Ying, 2015. "Evaluating the effect of coal mine safety supervision system policy in China's coal mining industry: A two-phase analysis," Resources Policy, Elsevier, vol. 46(P2), pages 12-21.
    17. Zhang, Wei & Yang, Jun & Sheng, Pengfei & Li, Xuesong & Wang, Xingwu, 2014. "Potential cooperation in renewable energy between China and the United States of America," Energy Policy, Elsevier, vol. 75(C), pages 403-409.
    18. Pei-Hsuan Tsai & Chih-Jou Chen & Ho-Chin Yang, 2021. "Using Porter’s Diamond Model to Assess the Competitiveness of Taiwan’s Solar Photovoltaic Industry," SAGE Open, , vol. 11(1), pages 21582440209, January.
    19. Chen, Qianqian & Gu, Yu & Tang, Zhiyong & Wei, Wei & Sun, Yuhan, 2018. "Assessment of low-carbon iron and steel production with CO2 recycling and utilization technologies: A case study in China," Applied Energy, Elsevier, vol. 220(C), pages 192-207.
    20. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:52:y:2017:i:c:p:39-53. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.