科技智囊Issue(2)：21-29,9.DOI:10.19881/j.cnki.1006-3676.2026.02.03
基于博弈分析的农业科学数据共享规制策略
Research on Regulatory Strategies for Agricultural Scientific Data Sharing Based on Game Theory
摘要
Abstract
[Research purpose]This paper analyzes the core challenges in agricultural scientific data sharing,including the attribute of quasi-public goods,and the"free-rider"problem,and incentive imbalance among multiple stakeholders.It aims to reveal the underlying interest-based game relationships and to provide a theoretical basis and policy implications for promoting the advancing an optimal sharing model of"active sharing,paid utilization,and active matching."[Research method]From the perspective of policy regulation,this paper constructs a tripartite game model involving data suppliers,demanders,and platforms to systematically analyze the interest interactions and equilibrium paths under different strategy combinations,with findings further validated using the policy case of Z Research Institute.[Research conclusion]The agricultural scientific data sharing system exhibits multiple potential Nash equilibria.Achieving the optimal sharing state depends on the precise regulation of each stakeholder's benefit-cost structure via policy instruments.Specifically,three incentive compatibility conditions must be satisfied:the additional benefits for suppliers from active sharing must cover their costs,the expected penalty for unauthorized use by demanders must exceed the cost of legal access,and the comprehensive benefits to platforms from active matchmaking must exceed their operational costs.Therefore,it is essential to incorporate data sharing into the scientific research evaluation system in depth,establish an intellectual property protection ecosystem tailored to characteristics of agricultural data,promote sharing platform specialization and functional empowerment,and strengthen policy coordination to systematically optimize the agricultural scientific data sharing ecosystem.关键词
数据要素/农业科学数据共享/政策规制/利益博弈/纳什均衡Key words
data elements/agricultural scientific data sharing/policy regulation/interest game/Nash equilibrium分类
社会科学引用本文复制引用
郑昊天,樊孝凤..基于博弈分析的农业科学数据共享规制策略[J].科技智囊,2026,(2):21-29,9.基金项目
海南省现代农业产业技术体系项目"海南省冬季瓜菜产业技术体系产业经济岗位专项"(HNARS-05-G06). （HNARS-05-G06）
