基于多主体演化博弈均衡模型的数据要素的进场交易与可信流通体系构建研究  

Study on Data Entry Transaction and Trusted Circulation System Construction Based on Multi-agent Evolutionary Game Equilibrium Model

作　　者：张丽丽 章政[2] ZHANG Lili;ZHANG Zheng(School of Marxism,Northwestern Polytechnical University,Xi’an 710072,China;School of Economics,Peking University,Beijing 100871,China)

机构地区：[1]西北工业大学马克思主义学院,西安710072 [2]北京大学经济学院,北京100871

出　　处：《计算机科学》2025年第3期127-136,共10页Computer Science

摘　　要：与传统生产要素相比,数据要素的非排他性、非竞争性和非标准化性等特点决定了可信场内交易体系是实现数据要素市场可持续发展的关键。引导交易双方进场交易是解决当前我国数据要素可信流通体系缺失、数据流动不足、场内交易不活跃等问题的“突破口”。通过构建包括政府、数据提供方、数据需求方三方主体的演化博弈模型并进行政策仿真分析发现,在给定条件下,政府通过提高场外交易惩罚额度、提高场内交易收益、降低进场交易成本和场外交易收益等措施,可以促进交易双方进场交易行为的实现;而进场交易补贴激励、进场激励或场外交易惩戒强度、数据需求方场外交易收益等政策变量对推动相关主体进场交易的作用并不显著,在政策机制设计中可忽略这些变量的影响。Compared with traditional production factors,the characteristics of non exclusivity,non competitiveness,and non standardization of data factors determine that a trustworthy on exchange trading system is the key to achieving sustainable deve-lopment of the data factor market.Guiding both parties to enter the market for trading is a breakthrough in solving the current lack of reliable data element circulation system,insufficient data flow,and inactive on exchange trading in China.By constructing an evolutionary game model that includes the government,data providers,data demanders,and conducting policy simulation analysis,it is found that the government’s measures such as increasing the penalty amount for over-the-counter transactions,streng-thening the punishment intensity for over-the-counter transactions,reducing entry transaction costs,and increasing entry transaction profits can help promote the implementation of entry trading behavior by both parties.However,the policy variables such as the subsidy incentive,the entry incentive or the disciplinary intensity of OTC transactions,and the OTC transaction income of the data demander are not significant in promoting the entry transactions of the relevant subjects.The influence of these variables can be ignored in the design of policy mechanism.

关 键 词：数据要素交易 场内交易 机制设计 演化博弈 仿真分析 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]