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

Abstract

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.

Identification and analysis of influencing factors of green mining construction based on DPSIR model and Fuzzy-DEMATEL approach

“…In terms of policy, scholars have affirmed its motivating effect, Qi et al (2020) believes that the effective deployment of green mining policies is a necessary prerequisite for China to meet its 2025 GMC objective. Luo et al (2023) proposed that the government could urge the promotion of demonstration projects through supporting policies such as land, taxation, and capital. Furthermore, some scholars have analyzed the existing policies and made suggestions for improvement.…”