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Integrated assessment and obstacle factor diagnosis of China's scientific coal production capacity based on the PSR sustainability framework

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  • Wang, Di
  • Shen, Ye
  • Zhao, Yueying
  • He, Wei
  • Liu, Xue
  • Qian, Xiangyan
  • Lv, Tao

Abstract

The Scientific Coal Production Capacity (SCPC) is an important decision-making basis for the sustainable development of China's coal industry. It is important to objectively measure its evolution characteristics and identify its key impact factors. Based on the Pressure-State-Response (PSR) model and the connotation of SCPC, this paper constructs a comprehensive SCPC evaluation system from the dimensions of resources, technology, safety, environment and benefits. Furthermore, this paper proposes an integrated analysis method to evaluate and identify the evolutionary characteristics and key influencing factors of SCPC from 2000 to 2016. The results show that, a) China's SCPC assessment system reflects the current state of pressure drive, operational state and regulatory response of China's coal overcapacity and its interaction mechanism. b) The integrated assessment method of SCPC can effectively remedy the deviation caused by the method of constant power evaluation and improve the accuracy of the evaluation method and the reliability of the evaluation results. c) China's SCPC tends to improve overall during the period of 2000-2016, but its development is slow. The reason is that the operation state of SCPC and its response mechanism are improved, and the impact of the pressure-driven factors of SCPC still exists and has not be improved. d) The obstacle factors of the pressure-subsystem of SCPC mainly involve coal transportation and carbon mitigation constraints. The obstacle factors of the state-subsystem are mainly coal quality, employee health and asset operation ability, and the obstacle factors of the response-subsystem are market regulation and demand-side response mechanisms. The key to improving China's SCPC in the future is to strengthen the construction of coal transportation channels, achieve clean utilization of coal resources, pay attention to employee health, improve asset operation efficiency and promote coal market reform.

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  • Wang, Di & Shen, Ye & Zhao, Yueying & He, Wei & Liu, Xue & Qian, Xiangyan & Lv, Tao, 2020. "Integrated assessment and obstacle factor diagnosis of China's scientific coal production capacity based on the PSR sustainability framework," Resources Policy, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:jrpoli:v:68:y:2020:i:c:s0301420719305446
    DOI: 10.1016/j.resourpol.2020.101794
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    as
    1. 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.
    2. Li, Wei & Lu, Can & Ding, Yi & Zhang, Yan-Wu, 2017. "The impacts of policy mix for resolving overcapacity in heavy chemical industry and operating national carbon emission trading market in China," Applied Energy, Elsevier, vol. 204(C), pages 509-524.
    3. Wang, Jiansheng & Diao, Mengzhen & Yue, Kaihong, 2017. "Optimization on pinch point temperature difference of ORC system based on AHP-Entropy method," Energy, Elsevier, vol. 141(C), pages 97-107.
    4. 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.
    5. Wang, Qiang & Li, Rongrong, 2016. "Journey to burning half of global coal: Trajectory and drivers of China׳s coal use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 341-346.
    6. Shang, Delei & Yin, Guangzhi & Li, Xiaoshuang & Li, Yaoji & Jiang, Changbao & Kang, Xiangtao & Liu, Chao & Zhang, Chi, 2015. "Analysis for Green Mine (phosphate) performance of China: An evaluation index system," Resources Policy, Elsevier, vol. 46(P2), pages 71-84.
    7. Li, Hongmin & Wang, Jianzhou & Lu, Haiyan & Guo, Zhenhai, 2018. "Research and application of a combined model based on variable weight for short term wind speed forecasting," Renewable Energy, Elsevier, vol. 116(PA), pages 669-684.
    8. Zhang, Yujiang & Feng, Guorui & Zhang, Min & Ren, Hongrui & Bai, Jinwen & Guo, Yuxia & Jiang, Haina & Kang, Lixun, 2016. "Residual coal exploitation and its impact on sustainable development of the coal industry in China," Energy Policy, Elsevier, vol. 96(C), pages 534-541.
    9. Azimifard, Arezoo & Moosavirad, Seyed Hamed & Ariafar, Shahram, 2018. "Selecting sustainable supplier countries for Iran's steel industry at three levels by using AHP and TOPSIS methods," Resources Policy, Elsevier, vol. 57(C), pages 30-44.
    10. Sivakumar, R. & Kannan, Devika & Murugesan, P., 2015. "Green vendor evaluation and selection using AHP and Taguchi loss functions in production outsourcing in mining industry," Resources Policy, Elsevier, vol. 46(P1), pages 64-75.
    11. Yuan, Jiahai & Li, Peng & Wang, Yang & Liu, Qian & Shen, Xinyi & Zhang, Kai & Dong, Liansai, 2016. "Coal power overcapacity and investment bubble in China during 2015–2020," Energy Policy, Elsevier, vol. 97(C), pages 136-144.
    12. Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015. "China’s farewell to coal: A forecast of coal consumption through 2020," Energy Policy, Elsevier, vol. 86(C), pages 444-455.
    13. 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.
    14. Shahba, Sudabe & Arjmandi, Reza & Monavari, Masoud & Ghodusi, Jamal, 2017. "Application of multi-attribute decision-making methods in SWOT analysis of mine waste management (case study: Sirjan's Golgohar iron mine, Iran)," Resources Policy, Elsevier, vol. 51(C), pages 67-76.
    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. 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.
    17. Modak, Mousumi & Pathak, Khanindra & Ghosh, Kunal Kanti, 2017. "Performance evaluation of outsourcing decision using a BSC and Fuzzy AHP approach: A case of the Indian coal mining organization," Resources Policy, Elsevier, vol. 52(C), pages 181-191.
    18. Sinan Erzurumlu, S. & Erzurumlu, Yaman O., 2015. "Sustainable mining development with community using design thinking and multi-criteria decision analysis," Resources Policy, Elsevier, vol. 46(P1), pages 6-14.
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    Cited by:

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    7. O.A. Chernova, 2021. "Relative Break-Even as a Determinant of the Dynamic Balance of the Russian Coal Industry," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 194-216.
    8. Li, Junjie & Zhang, Yueling & Yang, Yanli & Zhang, Xiaomei & Zheng, Yonghong & Qian, Qi & Tian, Yajun & Xie, Kechang, 2022. "Comparative resource-environment-economy assessment of coal- and oil-based aromatics production," Resources Policy, Elsevier, vol. 77(C).
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