An Integrated Approach to Green Mines Based on Hesitant Fuzzy TOPSIS: Green Degree Analysis and Policy Implications

China proposes to construct green mines as one of the significant means to elevate the green degree of mining industry and protect the mining environment. This paper constructs six evaluation indicators, namely mine environment, Resource development mode, Comprehensive utilization of resources, Ener...

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Bibliographic Details
Published in:Sustainability 2023-07, Vol.15 (13), p.10468
Main Authors: Luo, Dejiang, He, Su, Wu, Hao, Cheng, Long, Li, Junbo
Format: Article
Language:English
Subjects:
China
Coal mining
Data envelopment analysis
Decision making
Digital imaging
Emissions (Pollution)
Emissions control
Energy conservation
Environmental impact
Evaluation
Fuzzy sets
Innovations
Mineral industry
Mineral resources
Mines
Mining industry
Resource development
Resource utilization
Technological change
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Summary:China proposes to construct green mines as one of the significant means to elevate the green degree of mining industry and protect the mining environment. This paper constructs six evaluation indicators, namely mine environment, Resource development mode, Comprehensive utilization of resources, Energy conservation and emission reduction, Technological innovation and digital mining, Enterprise management and corporate image, to reflect green degree of mining firms. An improved multiattribute evaluation method (MAEM) is proposed based on hesitant fuzzy TOPSIS and kernel method. A case study of green mining firms in Panxi, southwestern China is provided to demonstrate the application of the proposed model. According to the research in this paper, it is more appropriate to expand the data in accordance with the optimistic criteria. The results also show that the improved hesitant fuzzy TOPSIS is a better method in the evaluation of green degree. Through the results of this paper, a reasonable and scientific method is introduced for the evaluation of the green degree of mining firms, and it can be promoted to the evaluation of the mineral resource development efficiency.
ISSN:2071-1050
2071-1050
DOI:10.3390/su151310468