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An Integrated Framework for Prioritizing Sustainability Indicators for the Mining Sector with a Multicriteria Decision-Making Technique

Author

Listed:
  • Vineeta Prasad

    (National Institute of Technology Durgapur)

  • Gautam Bandyopadhyay

    (National Institute of Technology Durgapur)

  • Kalyan Adhikari

    (National Institute of Technology Durgapur)

  • Sayan Gupta

    (National Institute of Technology Durgapur)

Abstract

Sustainable development challenges are nowhere more relevant than in the natural resource sectors, most importantly coal mining, due to environmental and societal challenges, which are a known fact. A plethora of frameworks and indicators for assessing sustainable development are available in the literature. The GRI (Global Reporting Initiative) is one such instrument that is predominantly adopted by various sectors. However, the large number of GRI indicators often draws concern about the accuracy of measurements and management of the variables. The present study aims to prioritize the 78 GRI indicators for the mining sector on four attributes—practicality, relevance, reliability, and importance—to enhance the accuracy of measurements. A survey-based methodology in line with the Delphi method and the multicriteria decision-making methods (MCDM) TOPSIS, MOORA, and SAW combined with criteria weight calculation by the entropy method is applied to rank the GRI indicators. The study enables the prioritization of 78 indicators into 20 indicators based on stakeholder perception using a perceptual map and ranks them through the application of MCDM. Second, the larger Spearman’s rank correlation coefficient of TOPSIS with MOORA and SAW shows better agreement between these three MCDM methods. The study demonstrates the usefulness of the MCDM methods either individually or in combination as a tool to support the decision-making process for prioritizing the indicators, assessing sustainability at coal mine sites, and benchmarking between adjacent mine sites.

Suggested Citation

  • Vineeta Prasad & Gautam Bandyopadhyay & Kalyan Adhikari & Sayan Gupta, 2023. "An Integrated Framework for Prioritizing Sustainability Indicators for the Mining Sector with a Multicriteria Decision-Making Technique," SN Operations Research Forum, Springer, vol. 4(1), pages 1-44, March.
    • Handle: RePEc:spr:snopef:v:4:y:2023:i:1:d:10.1007_s43069-022-00188-y
    DOI: 10.1007/s43069-022-00188-y
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    References listed on IDEAS

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    1. Olivier Boiral, 2013. "Sustainability reports as simulacra? A counter-account of A and A+ GRI reports," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 26(7), pages 1036-1071, September.
    2. Ness, Barry & Urbel-Piirsalu, Evelin & Anderberg, Stefan & Olsson, Lennart, 2007. "Categorising tools for sustainability assessment," Ecological Economics, Elsevier, vol. 60(3), pages 498-508, January.
    3. Sisi Que & Liang Wang & Kwame Awuah-Offei & Yao Chen & Wei Yang, 2018. "The Status of the Local Community in Mining Sustainable Development beyond the Triple Bottom Line," Sustainability, MDPI, vol. 10(6), pages 1-11, May.
    4. repec:eme:aaaj00:aaaj-04-2012-00998 is not listed on IDEAS
    5. Olivier Boiral, 2013. "Sustainability reports as simulacra? A counter-account of A and A+ GRI reports," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 26(7), pages 1036-1071, September.
    6. Gholamreza Dehdasht & M Salim Ferwati & Rosli Mohamad Zin & Nazirah Zainul Abidin, 2020. "A hybrid approach using entropy and TOPSIS to select key drivers for a successful and sustainable lean construction implementation," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-32, February.
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    1. Alexey Bilgaev & Suocheng Dong & Erzhena Sadykova & Fujia Li & Arnold Tulokhonov & Anna Mikheeva & Valentin Batomunkuev, 2023. "Sustainability Assessment of Mineral Resource Sector Companies in Northern Asia (Russia): An Environmental and Socio-Economic Perspective," Sustainability, MDPI, vol. 15(13), pages 1-17, June.

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