%0 Journal Article %T 数据赋能视角下交易市场主体策略研究
Research on the Strategy of Trading Market Entities from the Perspective of Data Empowerment %A 王子玥 %A 陈瑞义 %J E-Commerce Letters %P 302-317 %@ 2168-5851 %D 2025 %I Hans Publishing %R 10.12677/ecl.2025.144892 %X 把握数据交易市场发展规律，优化数据赋能实施环境是数据交易市场激活和创新发展的重点与难点问题。在深入剖析数据交易关键决策环节基础上，采用博弈分析与数值模拟方法，构建了一个由数据供给方、数据需求方以及数据交易平台企业这三个参与方构成的数据交易演化博弈模型，求解、论证和数值模拟了三个参与方相互博弈的稳定策略、策略演变条件、稳定点稳定性及其关键参数带来的影响。研究表明：平台适度降低数据赋能水平和数据赋能收费、提高数据需求方交易时支付的数据交易抽成，均有利于平台企业实施数据赋能策略；数据供给方应降低高低质量数据的质量差距，有利于提高数据供给方高质量数据供给概率；平台方降低数据赋能水平和数据赋能收费并提高数据需求方支付的数据交易抽成，数据供给方降低高质量数据和低质量数据之间的数据质量差距，政府加强对平台经济的监管和引导有利于推动良好数据交易生态的形成。本研究可为平台企业、数据供给方和数据交易方法的数据交易提供决策参考，还可为数据交易生态治理与政策制定提供决策支持。
A comprehensive understanding of the evolution of the data trading market and the optimization of the implementation environment for data empowerment represent pivotal yet formidable challenges in the activation and innovative development of the data trading market. A meticulous examination of the pivotal decision-making processes in data trading has led to the formulation of a game analysis and numerical simulation method. This method was employed to construct a data trading evolutionary game model comprising three participants: data suppliers, data demanders, and data trading platform enterprises. The model’s primary contributions include the resolution, illustration, and numerical simulation of the stable strategies of the three participants in the game. It also elucidates the conditions for strategy evolution, the stability of the stable points, and the impact of their key parameters. The research findings indicate that: The implementation of a data empowerment strategy by platform enterprises is conducive to the existence of a platform that moderately reduces the level of data empowerment and the fee for data empowerment, and increases the data transaction commission paid by the data demand side during transactions. It is recommended that data suppliers mitigate the disparity in quality between high- and low-quality data, thereby enhancing the likelihood of receiving high-quality data. The platform, in turn, should moderate the level of data empowerment and the fee for data empowerment, while concurrently increasing the data transaction commission paid by the data demand side. Concurrently, data suppliers should endeavor to narrow the quality gap between high- and low-quality data. The government’s enhancement of oversight and guidance of the platform economy is conducive to the promotion of the formation of a sound data trading ecology. This study offers a valuable reference point for platform enterprises, data suppliers, and data trading methods. Additionally, it provides a foundation for decision-making. %K 数据赋能， %K 数据要素市场， %K 演化博弈， %K 数据质量
Data Empowerment %K Data Factor Market %K Evolutionary Game %K Data Quality %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=111267