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The Construction of Green Mining Cluster in Ecologically Fragile Areas Based on the Ecological-Technical-Economic Synergy Path
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Yuan Zhong1, Zhigang Gao2, Fengyun Gong1, Wulan Tuoya3
Mining Research and Development | 2026, 46(5) : 295 - 304
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Mining Research and Development | 2026, 46(5): 295-304
The Construction of Green Mining Cluster in Ecologically Fragile Areas Based on the Ecological-Technical-Economic Synergy Path
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Yuan Zhong1, Zhigang Gao2, Fengyun Gong1, Wulan Tuoya3
Affiliations
  • 1.School of Accounting, Xinjiang College of Science & Technology, Korla, Xinjiang 841000, China
  • 2.School of Economics, Xinjiang College of Science & Technology, Korla, Xinjiang 841000, China
  • 3.Industrial Division, Bureau of Industry and Information Technology, Bayingolin Mongol Autonomous Prefecture, Korla, Xinjiang 841000, China
Published: 2026-05-25
Outline
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Based on the ecological-technical-economic synergy path, the super-efficiency SBM model combined with the GML index method was used to accurately measure the green total factor productivity in Xinjiang, and systematically evaluate the green development level of Xinjiang mining industry cluster. The results show that the green total factor productivity of mining industry in Xinjiang is lower than the national average, and the lack of technological innovation ability is an important factor restricting the development of mining industry in the region. Through the method of location entropy, the degree of industrial agglomeration of mineral resources in Xinjiang is quantitatively analyzed, and finds that it presents the characteristics of "high agglomeration, low green and weak chain", and there is a phenomenon of "virtual fat" in the cluster. With the help of vector autoregressive model, the dynamic relationship between industrial agglomeration degree, green development level and regional economic growth is empirically analyzed. Among them, the green development level has a significant impact on the agglomeration degree of mining clusters. The synergy effect of green development level and industrial agglomeration degree is the core driving force of sustainable economic development, forming a positive feedback mechanism of "green technology-industrial agglomeration-economic efficiency". Based on this, it is proposed to build a "four-in-one" green development system with "ecological value-added, technological empowerment, network synergy and structural optimization" as the core, so as to provide practical countermeasures for the green and high-quality development of mining clusters in ecologically fragile areas.

Green mining  /  Industrial cluster  /  Green total factor productivity  /  Location entropy agglomeration degree  /  Vector autoregression model
钟媛, 高志刚, 龚风云, 乌兰托娅. 基于生态技术经济协同路径的生态脆弱地区绿色矿业集群建设. 矿业研究与开发, 2026 , 46 (5) : 295 -304 .
Yuan Zhong, Zhigang Gao, Fengyun Gong, Wulan Tuoya. The Construction of Green Mining Cluster in Ecologically Fragile Areas Based on the Ecological-Technical-Economic Synergy Path[J]. Mining Research and Development, 2026 , 46 (5) : 295 -304 .
Year 2026 volume 46 Issue 5
44
10
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Article Info
  • Receive Date:2025-06-02
  • Online Date:2026-10-27
  • Published:2026-05-25
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  • Received:2025-06-02
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Affiliations
    1.School of Accounting, Xinjiang College of Science & Technology, Korla, Xinjiang 841000, China
    2.School of Economics, Xinjiang College of Science & Technology, Korla, Xinjiang 841000, China
    3.Industrial Division, Bureau of Industry and Information Technology, Bayingolin Mongol Autonomous Prefecture, Korla, Xinjiang 841000, 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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