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Analysis on Green and Low-Carbon Development Level and Influencing Factors of Guangxi Mining Industry Under the "Double Carbon“ Goal
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Wei WANG1, 2, 3, Guoqiang WANG4, Xiang LIU1, 2, 3, Qi LI5
Mining Research and Development | 2026, 46(1) : 204 - 216
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Mining Research and Development | 2026, 46(1): 204-216
Analysis on Green and Low-Carbon Development Level and Influencing Factors of Guangxi Mining Industry Under the "Double Carbon“ Goal
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Wei WANG1, 2, 3, Guoqiang WANG4, Xiang LIU1, 2, 3, Qi LI5
Affiliations
  • 1.School of Economic and Management, Guangxi University of Science and Technology, Liuzhou, Guangxi 545006, China
  • 2.Guangxi Research Center for New-Type Industrialization, Liuzhou, Guangxi 545006, China
  • 3.Research Center for High-Quality Industrial Development of Guangxi, Liuzhou, Guangxi 545006, China
  • 4.College of Geographical Sciences, Shanxi Normal University, Taiyuan, Shanxi 030031, China
  • 5.School of Civil Engineering and Architecture, Guangxi University of Science and Technology, Liuzhou, Guangxi 545006, China
Published: 2026-01-25
Outline
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Green and low-carbon transformation of the mining industry is a key link for achieving high-quality development. From the perspective of the "Double Carbon" goal, an evaluation index system for the green and low-carbon development level was constructed from four aspects: economic development, production scale, environmental pressure, and low-carbon level. Through the game theory combination weighting method and the cloud matter-element model with improved cloud entropy, the green and low-carbon development level of Guangxi mining industry was evaluated, and its influencing factors were further analyzed in combination with the grey correlation degree and obstacle factors. The research results show that, from 2005 to 2022, the evaluation grade of the green and low-carbon development level of Guangxi mining industry experiences a process of first rising slowly, then declining, then rising again and tending to stabilize, gradually improving from the backward stage (Ⅳ) to the advancing stage (Ⅱ), with obvious overall fluctuations. Besides, the grey correlation degree results show that the proportion of large-scale mining enterprises in the mining industry, the development level and development potential of the mining industry are key influencing factors, with grey correlation degrees of 0.862 3, 0.808 7 and 0.793 8 respectively. The obstacle factors show phased changes. From 2005 to 2018, low-carbon level and environmental pressure exert a greater hindrance to the green and low-carbon development level, while the hindrance degree of economic development is more significant from 2018 to 2022. The research results can provide a reference for the green and low-carbon transformation of the mining industry.

Mining industry  /  Green and low-carbon development level  /  Evaluation index system  /  Influencing factor  /  Obstacle factor
王伟, 王国强, 刘翔, 李奇. “双碳”目标下广西采掘业绿色低碳发展水平及影响因素分析. 矿业研究与开发, 2026 , 46 (1) : 204 -216 .
Wei WANG, Guoqiang WANG, Xiang LIU, Qi LI. Analysis on Green and Low-Carbon Development Level and Influencing Factors of Guangxi Mining Industry Under the "Double Carbon“ Goal[J]. Mining Research and Development, 2026 , 46 (1) : 204 -216 .
Year 2026 volume 46 Issue 1
42
12
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Article Info
  • Receive Date:2025-01-12
  • Online Date:2026-10-29
  • Published:2026-01-25
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  • Received:2025-01-12
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Affiliations
    1.School of Economic and Management, Guangxi University of Science and Technology, Liuzhou, Guangxi 545006, China
    2.Guangxi Research Center for New-Type Industrialization, Liuzhou, Guangxi 545006, China
    3.Research Center for High-Quality Industrial Development of Guangxi, Liuzhou, Guangxi 545006, China
    4.College of Geographical Sciences, Shanxi Normal University, Taiyuan, Shanxi 030031, China
    5.School of Civil Engineering and Architecture, Guangxi University of Science and Technology, Liuzhou, Guangxi 545006, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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