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Evaluating and ranking the mining damage prevention programs in South Korea: An application of the fuzzy set theory

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  • Kim, Ju-Hee
  • Kim, Kyung-Hag
  • Yoo, Seung-Hoon

Abstract

As various types of mining damage have occurred in South Korea, the mining damage prevention project has been in place since 2007. The project includes seven programs: abandoned mining facilities demolition program, mine drainage treatment program, mine subsidence prevention program, mine tailings loss prevention program, noise, vibration, and dust damage prevention program, reforestation program, and soil remediation program. This research seeks to derive the priorities of the programs through a national survey of 1000 people. Respondents are asked to judge the importance of individual programs on a 5-point scale and then the confidence in the importance judgment on a 5-point scale. Applying the fuzzy set theory comprehensively reflecting each respondent's importance judgment and the confidence in the judgment, the weights of the seven program are computed. Moreover, the confidence interval for the weights are obtained using the nonparametric bootstrap technique. Several policy implications, including the need to match the ranking of programs derived from this study with the ranking of the budget spent on the seven programs in the past, from the results are presented.

Suggested Citation

  • Kim, Ju-Hee & Kim, Kyung-Hag & Yoo, Seung-Hoon, 2022. "Evaluating and ranking the mining damage prevention programs in South Korea: An application of the fuzzy set theory," Resources Policy, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:jrpoli:v:78:y:2022:i:c:s030142072200318x
    DOI: 10.1016/j.resourpol.2022.102873
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    References listed on IDEAS

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    1. Kim, Ju-Hee & Yoo, Seung-Hoon, 2020. "Public perspective on the environmental impacts of sea sand mining: Evidence from a choice experiment in South Korea," Resources Policy, Elsevier, vol. 69(C).
    2. Hendrychová, Markéta & Svobodova, Kamila & Kabrna, Martin, 2020. "Mine reclamation planning and management: Integrating natural habitats into post-mining land use," Resources Policy, Elsevier, vol. 69(C).
    3. Stilwell, L. C. & Minnitt, R. C. A. & Monson, T. D. & Kuhn, G., 2000. "An input-output analysis of the impact of mining on the South African economy," Resources Policy, Elsevier, vol. 26(1), pages 17-30, March.
    4. Hee-Cheon Ju & Seung-Hoon Yoo, 2014. "Using the fuzzy set theory to developing an environmental impact assessment index for a thermal power plant," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 673-680, March.
    5. Schoenberger, Erica, 2016. "Environmentally sustainable mining: The case of tailings storage facilities," Resources Policy, Elsevier, vol. 49(C), pages 119-128.
    6. San Cristobal, J.R. & Biezma, M.V., 2006. "The mining industry in the European Union: Analysis of inter-industry linkages using input-output analysis," Resources Policy, Elsevier, vol. 31(1), pages 1-6, March.
    7. Zhu, Ke-Jun & Jing, Yu & Chang, Da-Yong, 1999. "A discussion on Extent Analysis Method and applications of fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 116(2), pages 450-456, July.
    8. Lim, Seul-Ye & Min, Seo-Hyeon & Yoo, Seung-Hoon, 2016. "The public value of contaminated soil remediation in Janghang copper smelter of Korea," Resources Policy, Elsevier, vol. 50(C), pages 66-74.
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    Cited by:

    1. Alexander Chursin & Zhanna Chupina & Anna Ostrovskaya & Andrew Boginsky, 2023. "The Creation of Fundamentally New Products as a Factor of Organizations’ Sustainable Economic Development," Sustainability, MDPI, vol. 15(12), pages 1-15, June.

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