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

Pan Wu, Guoyan Zhao and Yang Li
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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

Sustainability, 2022, vol. 14, issue 13, 1-19

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.

Keywords: green mining; development strategy; SWOT-PEST analysis; fuzzy AHP; fuzzy MARCOS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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