
Research on the data integration strategy of local governments and enterprises under central government subsidies
Author(s) -
Zifu Fan,
Kexin Fan,
Wei Zhang
Publication year - 2022
Publication title -
aims mathematics
Language(s) - English
Resource type - Journals
ISSN - 2473-6988
DOI - 10.3934/math.2022564
Subject(s) - subsidy , differential game , pareto principle , game theory , data sharing , pareto efficiency , profit (economics) , win win game , microeconomics , business , local government , government (linguistics) , industrial organization , cost sharing , economics , operations management , mathematical optimization , medicine , linguistics , philosophy , alternative medicine , mathematics , public administration , pathology , political science , law , market economy
This paper uses differential game theory to study the cooperation strategy and cost-sharing of local government and enterprise data integration under central government subsidies. We use differential game theory to build game models under the three modes of cooperative cooperation, noncooperation, and bilateral cost-sharing contracts; design a profit-sharing mechanism to improve the game structure between local governments and enterprises under bilateral cost-sharing contracts; and analyze the results of the model through simulation analysis. We draw the following research conclusions. (1) Under the collaborative cooperation model, the two parties in the game have the highest degree of data integration effort and the highest level of data integration, achieving Pareto optimality. (2) The profit-sharing mechanism can improve the bilateral cost-sharing contract so that the optimal effort of local governments and enterprises to integrate data and the level of data integration reach the level under the cooperative game and benefit the two sides of the game compared with the noncooperative model. This achieves Pareto improvement. (3) The efforts of local governments and enterprises to integrate data is negatively correlated with the cost coefficient of data integration and positively correlated with the social welfare effect. The research conclusions provide a theoretical reference for formulating local government and enterprise data integration policies and improving the level of data integration in China.