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How will China's coal industry develop in the future? A quantitative analysis with policy implications

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  • Zhao, Lu-Tao
  • Liu, Zhao-Ting
  • Cheng, Lei

Abstract

Achieving sound development in China's coal industry is of great significance for ensuring national energy security and achieving the goal of environmental and atmospheric governance. To analyse the present situation in China's coal industry and provide suggestions for its comprehensive development, a Coal Industry Development Index (CIDI) system is declared including 28 secondary indexes associated with 6 dimensions. A minimum-deviation combination weighting method is proposed to obtain more reasonable synthetic index weights than other methods, and a comprehensive evaluation model is constructed based on grey theory and TOPSIS to calculate the CIDI from 2011 to 2019. The results show that the CIDI has a fluctuating upward trend year by year, as the government and enterprises have attached great importance to coal production, and a series of measures have promoted the intelligent and safe development of China's coal industry. However, clean and green production first fluctuates and then rises, indicating that coal industry has not fully realized clean production and efficient utilization and is still the key controlled object of carbon emission reduction. Therefore, investments in the cultivation of coal market entity, resource guarantees and innovation-driven development ought to be strengthened in the future.

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  • Zhao, Lu-Tao & Liu, Zhao-Ting & Cheng, Lei, 2021. "How will China's coal industry develop in the future? A quantitative analysis with policy implications," Energy, Elsevier, vol. 235(C).
    • Handle: RePEc:eee:energy:v:235:y:2021:i:c:s0360544221016546
    DOI: 10.1016/j.energy.2021.121406
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    as
    1. He, Yongxiu & Pang, Yuexia & Zhang, Qi & Jiao, Zhe & Chen, Qian, 2018. "Comprehensive evaluation of regional clean energy development levels based on principal component analysis and rough set theory," Renewable Energy, Elsevier, vol. 122(C), pages 643-653.
    2. Wu, Dongling & Zhou, Ping & Zhou, Chenn Q., 2019. "Evaluation of pulverized coal utilization in a blast furnace by numerical simulation and grey relational analysis," Applied Energy, Elsevier, vol. 250(C), pages 1686-1695.
    3. Zhang, Zhi-Gang & Hu, Xiao & Liu, Zhao-Ting & Zhao, Lu-Tao, 2021. "Multi-attribute decision making: An innovative method based on the dynamic credibility of experts," Applied Mathematics and Computation, Elsevier, vol. 393(C).
    4. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    5. Li, Chong-Mao & Nie, Rui, 2017. "An evaluating system for scientific mining of China's coal resources," Resources Policy, Elsevier, vol. 53(C), pages 317-327.
    6. Meng, Di & Shao, Cheng & Zhu, Li, 2018. "Ethylene cracking furnace TOPSIS energy efficiency evaluation method based on dynamic energy efficiency baselines," Energy, Elsevier, vol. 156(C), pages 620-634.
    7. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    8. Jiskani, Izhar Mithal & Cai, Qingxiang & Zhou, Wei & Lu, Xiang, 2020. "Assessment of risks impeding sustainable mining in Pakistan using fuzzy synthetic evaluation," Resources Policy, Elsevier, vol. 69(C).
    9. Mohsin, Muhammad & Hanif, Imran & Taghizadeh-Hesary, Farhad & Abbas, Qaiser & Iqbal, Wasim, 2021. "Nexus between energy efficiency and electricity reforms: A DEA-Based way forward for clean power development," Energy Policy, Elsevier, vol. 149(C).
    10. Papież, Monika & Śmiech, Sławomir & Frodyma, Katarzyna, 2018. "Determinants of renewable energy development in the EU countries. A 20-year perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 918-934.
    11. Glomsrod, Solveig & Taoyuan, Wei, 2005. "Coal cleaning: a viable strategy for reduced carbon emissions and improved environment in China?," Energy Policy, Elsevier, vol. 33(4), pages 525-542, March.
    12. Zhang, Lina & Gao, Wanting & Chiu, Yung-ho & Pang, Qinghua & Shi, Zhen & Guo, Zhiqin, 2021. "Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis," Resources Policy, Elsevier, vol. 71(C).
    13. Wu, Gang & Liu, Lan-Cui & Han, Zhi-Yong & Wei, Yi-Ming, 2012. "Climate protection and China’s energy security: Win–win or tradeoff," Applied Energy, Elsevier, vol. 97(C), pages 157-163.
    14. Alola, Andrew Adewale & Akadiri, Seyi Saint, 2021. "Clean energy development in the United States amidst augmented socioeconomic aspects and country-specific policies," Renewable Energy, Elsevier, vol. 169(C), pages 221-230.
    15. Fu, Chao & Yang, Jian-Bo & Yang, Shan-Lin, 2015. "A group evidential reasoning approach based on expert reliability," European Journal of Operational Research, Elsevier, vol. 246(3), pages 886-893.
    16. Li, Tao & Li, Ang & Guo, Xiaopeng, 2020. "The sustainable development-oriented development and utilization of renewable energy industry——A comprehensive analysis of MCDM methods," Energy, Elsevier, vol. 212(C).
    17. Chaodong Yan & Hongjun Dai & Wen Guo, 2017. "Evaluation of Ecological Environmental Quality in a Coal Mining Area by Modelling Approach," Sustainability, MDPI, vol. 9(8), pages 1-13, July.
    18. Yao, Lixia & Chang, Youngho, 2014. "Energy security in China: A quantitative analysis and policy implications," Energy Policy, Elsevier, vol. 67(C), pages 595-604.
    19. Abu Bakar, Nur Najihah & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah & Bandi, Masilah, 2015. "Energy efficiency index as an indicator for measuring building energy performance: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 1-11.
    20. Entani, Tomoe & Sugihara, Kazutomi, 2012. "Uncertainty index based interval assignment by Interval AHP," European Journal of Operational Research, Elsevier, vol. 219(2), pages 379-385.
    21. Sakellariou, Evangelos I. & Axaopoulos, Petros J., 2020. "Energy performance indexes for solar assisted ground source heat pump systems with photovoltaic-thermal collectors," Applied Energy, Elsevier, vol. 272(C).
    22. Gasser, Patrick, 2020. "A review on energy security indices to compare country performances," Energy Policy, Elsevier, vol. 139(C).
    23. Davoudabadi, Reza & Mousavi, Seyed Meysam & Mohagheghi, Vahid, 2021. "A new decision model based on DEA and simulation to evaluate renewable energy projects under interval-valued intuitionistic fuzzy uncertainty," Renewable Energy, Elsevier, vol. 164(C), pages 1588-1601.
    24. Wang, Wensheng & Zhang, Chengyi, 2018. "Evaluation of relative technological innovation capability: Model and case study for China's coal mine," Resources Policy, Elsevier, vol. 58(C), pages 144-149.
    25. Fernandez Donoso, Jose, 2017. "A simple index of innovation with complexity," Journal of Informetrics, Elsevier, vol. 11(1), pages 1-17.
    26. Si, Tong & Wang, Chunbo & Liu, Ruiqi & Guo, Yusheng & Yue, Shuang & Ren, Yujie, 2020. "Multi-criteria comprehensive energy efficiency assessment based on fuzzy-AHP method: A case study of post-treatment technologies for coal-fired units," Energy, Elsevier, vol. 200(C).
    27. Xu, Guangyue & Schwarz, Peter & Yang, Hualiu, 2020. "Adjusting energy consumption structure to achieve China's CO2 emissions peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    28. Neofytou, H. & Nikas, A. & Doukas, H., 2020. "Sustainable energy transition readiness: A multicriteria assessment index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    29. Wang, Ning & Li, Heng & Liu, Gengyuan & Meng, Fanxin & Shan, Shaolei & Wang, Zongshui, 2018. "Developing a more comprehensive energy efficiency index for coal production: Indicators, methods and case study," Energy, Elsevier, vol. 162(C), pages 944-952.
    30. Zhang, Long & Bai, Wuliyasu & Xiao, Huijuan & Ren, Jingzheng, 2021. "Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis," Energy, Elsevier, vol. 227(C).
    31. Ozonoh, M. & Oboirien, B.O. & Higginson, A. & Daramola, M.O., 2020. "Performance evaluation of gasification system efficiency using artificial neural network," Renewable Energy, Elsevier, vol. 145(C), pages 2253-2270.
    32. Lee, Wen-Shing & Lin, Yeong-Chuan, 2011. "Evaluating and ranking energy performance of office buildings using Grey relational analysis," Energy, Elsevier, vol. 36(5), pages 2551-2556.
    33. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
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    8. Suli Hao & Chongbao Ren & Lu Zhang, 2022. "Research on Performance Evaluation of Coal Enterprises Based on Grounded Theory, Entropy Method and Cloud Model from the Perspective of ESG," Sustainability, MDPI, vol. 14(18), pages 1-54, September.
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