{"title":"数字智能背景下基于四方演化博弈的数据交易市场协同机制研究","authors":"Yue Li , Guofu Li , Anfeng Xu , Fengmin Yao","doi":"10.1016/j.seps.2025.102238","DOIUrl":null,"url":null,"abstract":"<div><div>This paper aims to investigate how the strategic choices of regulatory agencies,transformation enterprises, data suppliers, and data trading platforms influence the vitality of the data trading market in the digital intelligence era, addressing existing challenges such as insufficient compliance and supply-demand mismatches. By integrating evolutionary game theory with system dynamics, this study constructs a four-party evolutionary game model for regulatory agencies, enterprises, data suppliers and trading platforms, and a simulation analysis was performed on the evolution path of the market equilibrium state caused by changes in key factors. The results indicate that: (1) a significant positive feedback mechanism exists between stringent regulation and active compliance by data suppliers, effectively alleviating compliance inadequacies; likewise, enterprise digital transformation and platform intelligent services also demonstrate significant positive feedback, contributing to resolving supply-demand mismatches. (2) Measures including enhanced regulatory benefits, reduced regulatory costs, increased benefits and reduced costs of enterprise digital transformation, and lowered platform intelligent upgrading costs collectively drive the market toward an ideal equilibrium (characterized by stringent regulation, active compliance, digital transformation, and intelligent services). Conversely, unfavorable conditions lead to a non-ideal equilibrium state, characterized by decreased compliance, reduced market participation, and lower efficiency.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102238"},"PeriodicalIF":6.2000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the collaborative mechanism of a data trading market based on a four-party evolutionary game in the context of digital intelligence\",\"authors\":\"Yue Li , Guofu Li , Anfeng Xu , Fengmin Yao\",\"doi\":\"10.1016/j.seps.2025.102238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper aims to investigate how the strategic choices of regulatory agencies,transformation enterprises, data suppliers, and data trading platforms influence the vitality of the data trading market in the digital intelligence era, addressing existing challenges such as insufficient compliance and supply-demand mismatches. By integrating evolutionary game theory with system dynamics, this study constructs a four-party evolutionary game model for regulatory agencies, enterprises, data suppliers and trading platforms, and a simulation analysis was performed on the evolution path of the market equilibrium state caused by changes in key factors. The results indicate that: (1) a significant positive feedback mechanism exists between stringent regulation and active compliance by data suppliers, effectively alleviating compliance inadequacies; likewise, enterprise digital transformation and platform intelligent services also demonstrate significant positive feedback, contributing to resolving supply-demand mismatches. (2) Measures including enhanced regulatory benefits, reduced regulatory costs, increased benefits and reduced costs of enterprise digital transformation, and lowered platform intelligent upgrading costs collectively drive the market toward an ideal equilibrium (characterized by stringent regulation, active compliance, digital transformation, and intelligent services). Conversely, unfavorable conditions lead to a non-ideal equilibrium state, characterized by decreased compliance, reduced market participation, and lower efficiency.</div></div>\",\"PeriodicalId\":22033,\"journal\":{\"name\":\"Socio-economic Planning Sciences\",\"volume\":\"100 \",\"pages\":\"Article 102238\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2025-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Socio-economic Planning Sciences\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038012125000874\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012125000874","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Research on the collaborative mechanism of a data trading market based on a four-party evolutionary game in the context of digital intelligence
This paper aims to investigate how the strategic choices of regulatory agencies,transformation enterprises, data suppliers, and data trading platforms influence the vitality of the data trading market in the digital intelligence era, addressing existing challenges such as insufficient compliance and supply-demand mismatches. By integrating evolutionary game theory with system dynamics, this study constructs a four-party evolutionary game model for regulatory agencies, enterprises, data suppliers and trading platforms, and a simulation analysis was performed on the evolution path of the market equilibrium state caused by changes in key factors. The results indicate that: (1) a significant positive feedback mechanism exists between stringent regulation and active compliance by data suppliers, effectively alleviating compliance inadequacies; likewise, enterprise digital transformation and platform intelligent services also demonstrate significant positive feedback, contributing to resolving supply-demand mismatches. (2) Measures including enhanced regulatory benefits, reduced regulatory costs, increased benefits and reduced costs of enterprise digital transformation, and lowered platform intelligent upgrading costs collectively drive the market toward an ideal equilibrium (characterized by stringent regulation, active compliance, digital transformation, and intelligent services). Conversely, unfavorable conditions lead to a non-ideal equilibrium state, characterized by decreased compliance, reduced market participation, and lower efficiency.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.