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Exploring Pathways to Enhance Green Innovation Efficiency in Chemical Fiber Enterprises within the Context of Digital Transformation
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Jing ZHU, Hongxia ZHAO
Science Technology and Industry | 2025, 25(8) : 129 - 134
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Science Technology and Industry | 2025, 25(8): 129-134
Industrial Development
Exploring Pathways to Enhance Green Innovation Efficiency in Chemical Fiber Enterprises within the Context of Digital Transformation
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Jing ZHU, Hongxia ZHAO
Affiliations
  • School of Economics and Management, Qingdao University of Science and Technology, Qingdao 266061, Shandong, China
Published: 2025-04-25
Outline
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As global environmental issues worsen, green innovation is recognized as a core strategy for the sustainable development of chemical fiber enterprises. In this study, based on the TOE framework, listed companies in the chemical fiber industry from 2018 to 2022 were selected. The dynamic QCA method was used to analyze how digitalization influences green innovation efficiency. Three paths were identified for improving the green innovation efficiency of these enterprises. The first path relied on the application of digital technologies, the second on the scale of the enterprise and government support, and the third on the balance between digital technologies, government support, and organizational factors. These configurations show strong explanatory power, although individual performance varies across companies.

dynamic QCA  /  digital transformation  /  digital technology  /  green innovation efficiency
Jing ZHU, Hongxia ZHAO. Exploring Pathways to Enhance Green Innovation Efficiency in Chemical Fiber Enterprises within the Context of Digital Transformation[J]. Science Technology and Industry, 2025 , 25 (8) : 129 -134 .
Year 2025 volume 25 Issue 8
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Article Info
  • Receive Date:2024-10-06
  • Online Date:2025-08-15
  • Published:2025-04-25
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  • Received:2024-10-06
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Affiliations
    School of Economics and Management, Qingdao University of Science and Technology, Qingdao 266061, Shandong, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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