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Research Article | Open Access

Research on the data integration strategy of local governments and enterprises under central government subsidies

Zifu FanKexin FanWei Zhang( )
School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
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Abstract

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.

CLC number: 91A23

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AIMS Mathematics
Pages 10143-10164

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Cite this article:
Fan Z, Fan K, Zhang W. Research on the data integration strategy of local governments and enterprises under central government subsidies. AIMS Mathematics, 2022, 7(6): 10143-10164. https://doi.org/10.3934/math.2022564

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Received: 24 December 2021
Revised: 27 February 2022
Accepted: 08 March 2022
Published: 15 June 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)