关于数据交易合规性的研究:一种协作和共同治理的方法,考虑买方错误的反
Fanghao Xiao1, Xinqing Sun2, Junxin Shen2
1School of Marxist, Xiamen Institute of Technology, Xiamen, Fujian, China.
PloS one
|October 27, 2025
概括
在数据交易中准确的买方反促进了卖方的合规性,减少了监督负担. 协作治理模式平衡平台,政府和买方的角色,以实现有效的监管.
科学领域:
- 经济学 经济学 经济学
- 计算机科学 计算机科学
- 社会学 社会学 社会学
背景情况:
- 数据交易面临因自我监管不足和监管机制薄弱而导致的合规风险.
- 现有的治理模式很难有效地解决卖方不合规的问题.
研究的目的:
- 提出一种新的协作治理模型,以加强数据交易的合规性.
- 分析买家反,声誉和政府干预对卖家行为的影响.
主要方法:
- 在杂的反环境中利用进化游戏理论.
- 在治理框架内建模买家公用事业异质性.
- 模拟卖家,平台和政府监管机构之间的互动.
主要成果:
- 准确的买方反显著促进了卖方的合规性,并减少了监管负担.
- 声誉效应积极影响卖家和平台行为,但显示了与政府监管热情的反向U形关系.
- 确定了最佳的政府补贴/问责制和平台奖励/惩罚策略,避免极端的方法.
结论:
- 集成平台审计,政府监督和买方监督的协作治理模式对数据交易合规性有效.
- 买方反是促进自我监管和减少系统风险的关键因素.
- 仔细校准政府和平台激励措施对于可持续和高效的监管结果至关重要.
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