数字时代，数据作为一种新型生产要素，对于推动全民健身公共服务转型升级具有重要价值。 运用文献资料和逻辑分析等研究方法，以全民健身公共服务平台作为核心研究载体，构建包含地方政府体育主管部门、高新技术企业和第三方监管机构的三方演化博弈模型，利用Matlab 2021b软件数值模拟仿真不同参数变化下三方博弈对系统演化结果的影响。结果表明，在满足一定条件的基础上，系统存在 4种可能的演化均衡点，分别为（0，1，1）（1，0，1）（1，1，0）和（1，1，1）；在缺乏市场主体和社会组织有效参与的情形下，经济损失增加会促使地方政府体育主管部门的最终策略稳定于消极共享；作为有限理性的经济人，加入数据共享产生的成本增加会促使高新技术企业最终选择退出数据共享；加大第三方监管机构的监管力度有助于地方政府体育主管部门积极共享和带动高新技术企业加入，但对于企业的监管力度一定要适中。据此提出优化策略：健全数据共享协调机制，强化数据平台治理水平；加快企业数据应用转型，提升企业数据管理能力；优化第三方监管机制，强化数据质量监督管理。

In the digital age，as a new type of production factor，data has important value in promoting the transformation and upgrading of public services for national fitness. By using research methods such as literature and logical analysis and taking the national fitness public service platform as the core research carrier，a tripartite evolutionary game model including the sports authorities of local governments，high-tech enterprises and third-party regulators is constructed. Matlab 2021b software is used to simulate the influence of three-party game on the system evolution results under different parameter changes. The results show that，on the basis of satisfying certain conditions，there are four possible evolutionary equilibrium points，namely （0，1，1），（1，0，1），（1，1，0） and （1，1，1）. In the absence of the effective participation of market players and social organizations，the increase of economic losses will make the final strategy of the sports authorities of local governments stabilize to negative sharing. As bounded rational economic man，the increase of cost caused by joining data sharing will prompt high-tech enterprises to choose to quit data sharing. Strengthening the supervision of third-party regulatory bodies can help the sports authorities of local governments actively share and drive high-tech enterprises to join，but the supervision of enterprises must be moderate. Therefore，the optimization strategy is put forward，including： improve the mechanism of data sharing and coordination，and strengthen the governance level of data platform； accelerate the transformation of enterprise data application，and improve the enterprise data management ability； and optimize the third-party supervision mechanism as well as strengthen data quality supervision and management.

G812.4

国家社会科学基金重点项目（21ATY002）