Evolutionary Game Analysis of Profit Distribution Between Government and Enterprises in Public Data Authorization Operations

Qing YU, Ying LIU, Fangyuan SU, Muran YU, Zhen WANG, Xueyao YUAN

Journal of Systems Science and Information ›› 2025, Vol. 13 ›› Issue (1) : 1-22.

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Journal of Systems Science and Information ›› 2025, Vol. 13 ›› Issue (1) : 1-22. DOI: 10.21078/JSSI-2024-0069
 

Evolutionary Game Analysis of Profit Distribution Between Government and Enterprises in Public Data Authorization Operations

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Abstract

To address the issue of revenue distribution between government departments and enterprises in the operation of public data authorization, an evolutionary game model was constructed for both government and enterprise parties. The impacts of different incentive levels and revenue distribution ratios on the strategic choices and evolutionary trends of both government and enterprise were analyzed. It was found that when the government chose a strategy of weak authorization and strong regulation, enterprises showed a higher tendency to actively participate in public data sharing. In addition, when the revenue distribution ratio between government and enterprise was 3:7, the game evolution of both parties tended to be stable, reaching a balanced state that is beneficial and sustainable for both parties.

Key words

public data / authorized operation / income distribution / evolutionary game model

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Qing YU , Ying LIU , Fangyuan SU , Muran YU , Zhen WANG , Xueyao YUAN. Evolutionary Game Analysis of Profit Distribution Between Government and Enterprises in Public Data Authorization Operations. Journal of Systems Science and Information, 2025, 13(1): 1-22 https://doi.org/10.21078/JSSI-2024-0069

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Funding

the National Natural Science Foundation of China(72272140)
the National Natural Science Foundation of China(72334006)
the National Natural Science Foundation of China(72192843)
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