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Green Mining Strategy Selection via an Integrated SWOT-PEST Analysis and Fuzzy AHP-MARCOS Approach

Author

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  • Pan Wu

    (School of Resources & Safety Engineering, Central South University, Changsha 410083, China)

  • Guoyan Zhao

    (School of Resources & Safety Engineering, Central South University, Changsha 410083, China)

  • Yang Li

    (School of Resources & Safety Engineering, Central South University, Changsha 410083, China)

Abstract

Deciding on an appropriate development strategy is one of the most crucial aspects of the mining industry’s green transition. This research introduces a novel integrated decision support model that can be applied to analyze various environmental factors and determine development strategies. In this study, a strengths, weaknesses, opportunities, and threats (SWOT) analysis is employed from multiple perspectives, including political, economic, social, and technological (PEST), to assess the internal and external factors that influence green mining. The fuzzy analytic hierarchy process (AHP) is used to analyze the factor weights quantitatively, and the fuzzy Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method is used to rank and select development strategies. According to the results, “grasp the trend of green development and improve the protection and exploitation level of mineral resources” is found to be the final optimal strategy. Comparative analysis and sensitivity analysis confirmed the accuracy of the model and the case study results.

Suggested Citation

  • Pan Wu & Guoyan Zhao & Yang Li, 2022. "Green Mining Strategy Selection via an Integrated SWOT-PEST Analysis and Fuzzy AHP-MARCOS Approach," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7577-:d:844464
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    2. Ottone Scammacca & Rasool Mehdizadeh & Yann Gunzburger, 2022. "Territorial Mining Scenarios for Sustainable Land-Planning: A Risk-Based Comparison on the Example of Gold Mining in French Guiana," Sustainability, MDPI, vol. 14(17), pages 1-25, August.

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