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Measure and Influencing Factors for Modernization of Non-Ferrous Metal-New Energy Industrial Chain Based on Four-Stage DEA Model
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Wenlong FANG1, 2, Dan LAI1, 3, Yanrong LI1, Xianhua YI1
Mining and Metallurgical Engineering | 2025, 45(1) : 179 - 187
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Mining and Metallurgical Engineering | 2025, 45(1): 179-187
• BUSINESS ECONOMY AND MANAGEMENT •
Measure and Influencing Factors for Modernization of Non-Ferrous Metal-New Energy Industrial Chain Based on Four-Stage DEA Model
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Wenlong FANG1, 2, Dan LAI1, 3, Yanrong LI1, Xianhua YI1
Affiliations
  • 1.Research Institute of Energy Metal Industry, Gannan University of Science and Technology, Ganzhou 341000, Jiangxi, China
  • 2.School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, China
  • 3.Ganjiang Institute of Innovation, Chinese Academy of Sciences, Ganzhou 341000, Jiangxi, China
Published: 2025-02-01 doi: 10.3969/j.issn.0253-6099.2025.01.033
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The innovation efficiency of each link of China's non-ferrous metal-new energy industrial chain was measured based on a four-stage DEA model, and its influencing factors were analyzed with the Tobit model. Based on the study, the following conclusions can be made: after SFA model adjustment, the four links of the industrial chain, i.e. mineral products, refined products, new energy materials and new energy application, can be arranged in descending order in terms of innovation efficiency, and pure technical efficiency is the key factor restricting the improvement of the innovation efficiency of each link of the industrial chain; the innovation efficiency of the industrial chain also presents the characteristics of being stronger in the west and weaker in the east in terms of spatial distribution; state-owned enterprises can demonstrate high innovation efficiency than non-state-owned enterprises; the concentration of suppliers, enterprise size, and the quality of employees are positively correlated to the innovation efficiency, while the degree of market competition, the debt to asset ratio, and the equity concentration are negatively correlated to the innovation efficiency. In order to improve the innovation efficiency of the industrial chain, more efforts should be made in policy support for reducing innovation risks of new energy enterprises, increasing the returns of new energy enterprises, and promoting the formation of industrial clusters.

modernization of industry chain  /  innovation efficiency  /  non-ferrous metals  /  new energy  /  four-stage DEA  /  supply chain  /  industry clustering  /  measure model  /  influencing factor analysis  /  upstream and downstream in industrial chain
Wenlong FANG, Dan LAI, Yanrong LI, Xianhua YI. Measure and Influencing Factors for Modernization of Non-Ferrous Metal-New Energy Industrial Chain Based on Four-Stage DEA Model[J]. Mining and Metallurgical Engineering, 2025 , 45 (1) : 179 -187 . DOI: 10.3969/j.issn.0253-6099.2025.01.033
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Year 2025 volume 45 Issue 1
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doi: 10.3969/j.issn.0253-6099.2025.01.033
  • Receive Date：2024-08-25
  • Online Date：2026-03-17
  • Published：2025-02-01
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  • Received：2024-08-25
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Affiliations
    1.Research Institute of Energy Metal Industry, Gannan University of Science and Technology, Ganzhou 341000, Jiangxi, China
    2.School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, China
    3.Ganjiang Institute of Innovation, Chinese Academy of Sciences, Ganzhou 341000, Jiangxi, 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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