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Where risk, where capability? Building the emergency management capability structure of coal mining enterprises based on risk matching perspective

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  • Xiong, Yachao
  • Qi, Hui
  • Li, Zequan
  • Zhang, Qiuhan

Abstract

The emergency management capability of coal mine enterprises is a crucial element of coal mine safety management. Exploring the structure of the emergency management capability of coal mine enterprises under the perspective of risk matching is conducive to clarifying the core nodes of emergency management capability construction. A qualitative analysis of Chinese underground coal mine accident reports, related laws and regulations, and relevant academic papers was conducted using grounded theory. Currently, the risks in underground coal mines in China can be divided into source-generated risks, derivative risks, and residual risks. The elements of emergency management capabilities that match them are absorption capability, detection and control capability, and response capability. At the same time, some capability elements across different risks are summarized as internal enhancement and external enhancement, respectively. The study provides a reference for coal mining enterprises to improve emergency management capability and reduce risks.

Suggested Citation

  • Xiong, Yachao & Qi, Hui & Li, Zequan & Zhang, Qiuhan, 2023. "Where risk, where capability? Building the emergency management capability structure of coal mining enterprises based on risk matching perspective," Resources Policy, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:jrpoli:v:83:y:2023:i:c:s0301420723004063
    DOI: 10.1016/j.resourpol.2023.103695
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    References listed on IDEAS

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    1. You, Qi & Yu, Kai & Zhou, Lujie & Zhang, Jing & Lv, Maoyun & Wang, Jiansheng, 2023. "Research on risk analysis and prevention policy of coal mine workers' group behavior based on evolutionary game," Resources Policy, Elsevier, vol. 80(C).
    2. Liu, Quanlong & Peng, Yumeng & Li, Zhiyang & Zhao, Pan & Qiu, Zunxiang, 2021. "Hazard identification methodology for underground coal mine risk management - Root-State Hazard Identification," Resources Policy, Elsevier, vol. 72(C).
    3. Yanbo Zhang & Yong Liu & Keyu Zhai, 2021. "Identifying the Predictors of Community Acceptance of Waste Incineration Plants in Urban China: A Qualitative Analysis from a Public Perspective," IJERPH, MDPI, vol. 18(19), pages 1-16, September.
    4. Liu, Quanlong & Dou, Fenfen & Meng, Xianfei, 2021. "Building risk precontrol management systems for safety in China's underground coal mines," Resources Policy, Elsevier, vol. 74(C).
    5. Marijn Janssen & JinKyu Lee & Nitesh Bharosa & Anthony Cresswell, 2010. "Advances in multi-agency disaster management: Key elements in disaster research," Information Systems Frontiers, Springer, vol. 12(1), pages 1-7, March.
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