数据交易企业策略及政府监管激励——基于三方演化博弈模型分析
Enterprise Strategy and Government Supervision Incentive of Data Transaction-analysis Based on Three-way Evolutionary Game Model
王珊珊 1王海芸 1姚怡帆2
作者信息
- 1. 北京市科学技术研究院创新发展战略研究所,北京 100089
- 2. 陕西师范大学国家安全学院(政法与公共管理学院),西安 710119
- 折叠
摘要
识别数据交易实践的薄弱环节,推动数据要素市场发展,构建"企业-企业-政府"三方演化博弈模型,模拟演化稳定策略,识别影响数据交易的关键因素及其作用机制.研究发现:数据交易会因数据异质性、数据转化能力、市场信任度而增加,因交易成本、竞争力减损而减少;违约金具有"奖优罚劣"的双重作用,但需设置科学的赔偿力度才能发挥制度优势;政府监管的影响较小,政府补贴的作用更突出,二者相互配合更有利于发挥政策引导作用;促进数据交易的有效方法是提高数据质量和数据转化能力、加强企业互信、防范合同风险、保障数据安全、完善监管激励机制.
Abstract
To identify weak links in data trading practices and promote the development of data element markets,a tripartite evolutionary game model of"enterprise government",simulate evolutionary stability strategies is constructed,and key factors and their mechanisms that affect data transactions are identified.It is found that,data trading will increase due to data heterogeneity,data conversion ability,and market trust,but decrease due to transaction costs and reduced competitiveness.The penalty for breach of contract has a dual function of"rewarding the good and punishing the bad",but scientific compensation measures need to be established to fully leverage the institutional advantages.The impact of government regulation is relatively small,and the role of government subsidies is more prominent.The mutual cooperation between the two is more conducive to playing a policy-guiding role.The effective methods to promote data transactions including improving data quality and data conversion capabilities,strengthening mutual trust among enterprises,preventing contract risks,ensuring data security,and improving regulatory incentive mechanisms.
关键词
数据交易/演化博弈/数据基础制度/数据要素市场/数字经济Key words
data trading/evolutionary game/data infrastructure system/data element market/digital economy引用本文复制引用
基金项目
国家社会科学基金重点项目(22AZD111)
北京市博士后科研活动经费支持项目(132023KF007)
2023年度陕西省哲学社会科学研究专项(2023QN0067)
陕西师范大学2022年度国家安全专项研究项目(22PY17)
出版年
2024
NETL
NSTL
万方数据