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Which Provincial Regions in China Should Give Priority to the Redevelopment of Abandoned Coal Mines? A Redevelopment Potential Evaluation Based Analysis

Author

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  • Yuliang Yang

    (School of Coal Engingeering, Shanxi Datong University, Datong 037003, China
    School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Chaoqun Cui

    (School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
    School of Mining and Geomatics Engineering, Hebei University of Engineering, Handan 056038, China)

Abstract

Abandoned mines have a double nature consisting of resources and assets, and their rational redevelopment is one of the most important practices of the recycling economy. To direct the layout of the regional abandoned mine redevelopment, this paper constructs a comprehensive assessment framework for abandoned mine redevelopment potential based on the driving force–state–response (DSR) model. It is quantitatively evaluated by three-dimensional cloud models, and the results are coupled using a four-quadrant approach. From the perspective of space control, this paper proposes classification principles of redevelopment potential and redevelopment sequence and summarizes the important policy implementations for each category. The paper studies the redevelopment potential of abandoned mines from the provincial perspective in 25 coal-producing provinces of China. The results indicate that not all areas with high resource potential are suitable for redevelopment. In the northern and western regions, the regional abandoned mines have high resource potential and strong redevelopment drivers. However, the spatial pattern of the suitability of the development conditions is not distributed in the same way as the resources. The distribution of the abandoned mine redevelopment potential reveals that the eastern and east-central regions should give priority to the construction of demonstration projects. Different driving force scenarios confirm that most provinces have no obvious driving factor preference, with a few exceptions. This evaluation model is established from a more comprehensive perspective and is a valuable aid for decision makers when arranging abandoned mine regeneration projects.

Suggested Citation

  • Yuliang Yang & Chaoqun Cui, 2022. "Which Provincial Regions in China Should Give Priority to the Redevelopment of Abandoned Coal Mines? A Redevelopment Potential Evaluation Based Analysis," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15923-:d:988096
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    References listed on IDEAS

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    1. Lee, Chia-Hao & Chou, Pei-I, 2018. "Financial openness and market liquidity in emerging markets," Finance Research Letters, Elsevier, vol. 25(C), pages 124-130.
    2. Zhu, Bangzhu & Zhang, Mengfan & Zhou, Yanhua & Wang, Ping & Sheng, Jichuan & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach," Energy Policy, Elsevier, vol. 134(C).
    3. Pouran, Hamid M., 2018. "From collapsed coal mines to floating solar farms, why China's new power stations matter," Energy Policy, Elsevier, vol. 123(C), pages 414-420.
    4. Groth, Christian & Schou, Poul, 2007. "Growth and non-renewable resources: The different roles of capital and resource taxes," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 80-98, January.
    5. Volk, Rebekka & Müller, Richard & Reinhardt, Joachim & Schultmann, Frank, 2019. "An Integrated Material Flows, Stakeholders and Policies Approach to Identify and Exploit Regional Resource Potentials," Ecological Economics, Elsevier, vol. 161(C), pages 292-320.
    6. Zhang, Xiaohan & Winchester, Niven & Zhang, Xiliang, 2017. "The future of coal in China," Energy Policy, Elsevier, vol. 110(C), pages 644-652.
    7. Lin, Jiang & Fridley, David & Lu, Hongyou & Price, Lynn & Zhou, Nan, 2018. "Has coal use peaked in China: Near-term trends in China's coal consumption," Energy Policy, Elsevier, vol. 123(C), pages 208-214.
    8. Miremadi, I. & Saboohi, Y. & Arasti, M., 2019. "The influence of public R&D and knowledge spillovers on the development of renewable energy sources: The case of the Nordic countries," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 450-463.
    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. Caulk, Robert A. & Tomac, Ingrid, 2017. "Reuse of abandoned oil and gas wells for geothermal energy production," Renewable Energy, Elsevier, vol. 112(C), pages 388-397.
    11. Wang, Ran & Cheng, Jinhua & Zhu, Yali & Lu, Peixin, 2017. "Evaluation on the coupling coordination of resources and environment carrying capacity in Chinese mining economic zones," Resources Policy, Elsevier, vol. 53(C), pages 20-25.
    12. Unger, C.J. & Lechner, A.M. & Kenway, J. & Glenn, V. & Walton, A., 2015. "A jurisdictional maturity model for risk management, accountability and continual improvement of abandoned mine remediation programs," Resources Policy, Elsevier, vol. 43(C), pages 1-10.
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