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Assessing operational risk in coal mining enterprises – Internal, industrial and international perspectives

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  • Nawrocki, Tomasz Leszek
  • Jonek-Kowalska, Izabela

Abstract

This paper aims to assess and compare operational risk in coal mining enterprises in Central and Eastern Europe. It also provides framework for combined internal and industrial risk assessment using fuzzy logic. The fuzzy logic is used to assess the operational risk from two perspectives: internal and industrial. In this context, five mining enterprises from Central and Eastern Europe are examined. Operational risk related to the specifics of the business, due to the geopolitical and progressive globalization of the coal market, is analyzed through mining enterprises that are comparable in value. For individual operational risk diversification in mining enterprises, the assessment of resource potential plays a key role. In terms of the risk associated with the specifics of business, the lowest partial risk assessments relate to customer relationships.

Suggested Citation

  • Nawrocki, Tomasz Leszek & Jonek-Kowalska, Izabela, 2016. "Assessing operational risk in coal mining enterprises – Internal, industrial and international perspectives," Resources Policy, Elsevier, vol. 48(C), pages 50-67.
    • Handle: RePEc:eee:jrpoli:v:48:y:2016:i:c:p:50-67
    DOI: 10.1016/j.resourpol.2016.02.008
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    Cited by:

    1. Jonek-Kowalska, Izabela, 2018. "How do turbulent sectoral conditions sector influence the value of coal mining enterprises? Perspectives from the Central-Eastern Europe coal mining industry," Resources Policy, Elsevier, vol. 55(C), pages 103-112.
    2. Song, Zongyun & Niu, Dongxiao & Xiao, Xinli, 2017. "Focus on the current competitiveness of coal industry in China: Has the depression time gone?," Resources Policy, Elsevier, vol. 51(C), pages 172-182.
    3. 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).
    4. Chong-Mao Li & Tao Cui & Rui Nie & Yuli Shan & Juan Wang & Xiangyan Qian, 2017. "A Decision Model to Predict the Optimal Size of the Diversified Management Industry from the View of Profit Maximization and Coordination of Industrial Scale," Sustainability, MDPI, vol. 9(4), pages 1-11, April.
    5. Li, Chong-Mao & Cui, Tao & Nie, Rui & Lin, Han & Shan, Yuli, 2019. "Does diversification help improve the performance of coal companies? Evidence from China's listed coal companies," Resources Policy, Elsevier, vol. 61(C), pages 88-98.
    6. Anna Bluszcz, 2017. "European economies in terms of energy dependence," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1531-1548, July.
    7. Singh, Vipul Kumar & Kumar, Pawan & Nishant, Shreyank, 2019. "Global connectedness of MSCI energy equity indices: A system-wide network approach," Energy Economics, Elsevier, vol. 84(C).
    8. Tomasz L. Nawrocki & Izabela Jonek-Kowalska, 2023. "Efficiency of Polish Energy Companies in the Context of EU Climate Policy," Energies, MDPI, vol. 16(2), pages 1-21, January.
    9. Zhang, Yan & Wang, Yu-Hao & Zhao, Xu & Tong, Rui-Peng, 2023. "Dynamic probabilistic risk assessment of emergency response for intelligent coal mining face system, case study: Gas overrun scenario," Resources Policy, Elsevier, vol. 85(PB).
    10. Jonek-Kowalska, Izabela, 2019. "Consolidation as a risk management method in the lifecycle of a mining company: A novel methodological approach and evidence from the coal industry in Poland," Resources Policy, Elsevier, vol. 60(C), pages 169-177.
    11. Jonek-Kowalska, Izabela & Nawrocki, Tomasz L., 2019. "Holistic fuzzy evaluation of operational risk in polish mining enterprises in a long-term and sectoral research perspective," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    12. Matyjaszek, Marta & Riesgo Fernández, Pedro & Krzemień, Alicja & Wodarski, Krzysztof & Fidalgo Valverde, Gregorio, 2019. "Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory," Resources Policy, Elsevier, vol. 61(C), pages 283-292.
    13. Ruipeng Tong & Cunli Zhai & Qingli Jia & Chunlin Wu & Yan Liu & Surui Xue, 2018. "An Interactive Model among Potential Human Risk Factors: 331 Cases of Coal Mine Roof Accidents in China," IJERPH, MDPI, vol. 15(6), pages 1-20, June.
    14. Izabela Jonek-Kowalska, 2019. "Long-term Analysis of the Effects of Production Management in Coal Mining in Poland," Energies, MDPI, vol. 12(16), pages 1-13, August.

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