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Two-stage Game Analysis of Industrial General Purpose Technology Innovation Diffusion Based on Heterogeneous Complex Networks
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Guiyang Zhang1, Yucai Jia1, Yong Qi2, Feng Dong3
Journal of Technology Economics | 2025, 44(9) : 1 - 13
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Journal of Technology Economics | 2025, 44(9): 1-13
• Integrated Education Technology Talent Theme Column •
Two-stage Game Analysis of Industrial General Purpose Technology Innovation Diffusion Based on Heterogeneous Complex Networks
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Guiyang Zhang1, Yucai Jia1, Yong Qi2, Feng Dong3
Affiliations
  • 1.School of Economics & Management, Nanjing University of Science and Technology, Nanjing 210094, China
  • 2.School of Intellectual Property, Nanjing University of Science and Technology, Nanjing 210094, China
  • 3.School of Economics & Management, Anhui Polytechnic University, Wugu 241000, China
Published: 2025-09-25 doi: 10.12404/j.issn.1002-980X.J24110303
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An evolutionary game model was constructed based on evolutionary game theory and complex network theory to analyze the two-stage diffusion mechanism of industrial general purpose technologies (GPTs): secondary development among enterprise groups and complementary product purchases among consumer groups. The model incorporated the heterogeneity and complex network topology of diffusion groups and included three elements: game subjects, evolution rules, and network structures. The diffusion paths on the supply side and demand side were depicted, and the optimal government incentive strategies in the two diffusion stages were explored. The results show that the incentive effect of government subsidies on the diffusion of industrial GPTs follows an inverted U-shaped trend. Both excessive and insufficient subsidies reduce resource allocation efficiency. Peripheral enterprises are more concerned than core enterprises with the technical maturity after secondary development and the intensity of government subsidies. Consumer diffusion follows price-based mechanisms. Lowering the price of complementary products and improving their technical maturity significantly promote market penetration. In addition, the stability of GPT diffusion is significantly influenced by the network structure of diffusion groups. Reducing innovation costs or product prices helps enhance the stability of industrial GPT diffusion. These findings reveal the multi-agent coordination mechanism and the boundary effect of policy incentives in the diffusion of industrial GPTs and provide theoretical support for optimizing policy tools and improving diffusion efficiency.

industrial general purpose technology  /  innovation diffusion  /  heterogeneous complex networks  /  two-stage game
张桂阳, 贾玉财, 戚湧, 董丰. 异质复杂网络下产业共性技术创新扩散的两阶段博弈分析. 技术经济, 2025 , 44 (9) : 1 -13 . DOI: 10.12404/j.issn.1002-980X.J24110303
Guiyang Zhang, Yucai Jia, Yong Qi, Feng Dong. Two-stage Game Analysis of Industrial General Purpose Technology Innovation Diffusion Based on Heterogeneous Complex Networks[J]. Journal of Technology Economics, 2025 , 44 (9) : 1 -13 . DOI: 10.12404/j.issn.1002-980X.J24110303
Year 2025 volume 44 Issue 9
25
6
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doi: 10.12404/j.issn.1002-980X.J24110303
  • Receive Date:2025-02-24
  • Online Date:2026-10-27
  • Published:2025-09-25
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  • Received:2025-02-24
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Affiliations
    1.School of Economics & Management, Nanjing University of Science and Technology, Nanjing 210094, China
    2.School of Intellectual Property, Nanjing University of Science and Technology, Nanjing 210094, China
    3.School of Economics & Management, Anhui Polytechnic University, Wugu 241000, 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
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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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