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Research on Data Trading Market Governance Based on Tripartite Evolutionary Game Theory
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Xuemei XIE, Yingying DUAN
Science Technology and Industry | 2025, 25(1) : 315 - 324
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Science Technology and Industry | 2025, 25(1): 315-324
Governance & Performance
Research on Data Trading Market Governance Based on Tripartite Evolutionary Game Theory
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Xuemei XIE, Yingying DUAN
Affiliations
  • School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Published: 2025-01-10
Outline
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Data trading is an important form of data elements circulation. By constructing an evolutionary game model of “data trading platform - data providers - data demanders,” it is revealed that the data trading market exists in three equilibrium states: non-cooperation, inefficiency, and ideal. A higher initial willingness for technological innovation by the platform, a reasonable profit distribution coefficient, and a lower loss of competitive advantage can promote the system to evolve towards an ideal equilibrium state; whereas high data prices and technological innovation costs can lead the system into a state of non-cooperation or inefficiency. Therefore, the development of the data trading market can be promoted by enhancing the awareness of the subjects, establishing a fair and reasonable profit distribution mechanism and data product pricing, and supporting technological innovation in the platform.

data trading  /  data elements  /  evolutionary game  /  market governance
Xuemei XIE, Yingying DUAN. Research on Data Trading Market Governance Based on Tripartite Evolutionary Game Theory[J]. Science Technology and Industry, 2025 , 25 (1) : 315 -324 .
Year 2025 volume 25 Issue 1
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Article Info
  • Receive Date:2024-09-23
  • Online Date:2025-07-20
  • Published:2025-01-10
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  • Received:2024-09-23
Affiliations
    School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, 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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