数据价值链研究进展  

Research Progress in the Data Value Chain

作　　者：李正辉 许燕婷[1] 陆思婷 LI Zhenghui;XU Yanting;LU Siting(Guangzhou University,Guangzhou,China)

机构地区：[1]广州大学经济与统计学院,510006 [2]广州大学金融研究院,510405

出　　处：《经济学动态》2024年第2期128-144,共17页Economic Perspectives

基　　金：国家社会科学基金重大项目“数据价值链效能识别与统计测度研究”(22&ZD163)。

摘　　要：数据价值的创造过程可划分为基本价值和增值价值两大类。数据价值链在数据的采集、传输、存储、分析及应用等环节上实现数据的基本价值创造,在数据流转过程中实现价值增值。本文从数据流程、数据处理技术和数据增值三种视角系统阐述数据价值链的概念,并追踪其所经历的信息经济-数字技术嵌入-双链融合的演进过程。文章聚焦数据生产与应用流程链条以及数据与产业融合的实体链条,重点分析数据价值创造机制;同时,系统总结数据价值评估方法,从微观和宏观视角考察数据对利益主体的福利效应;进一步,全面审视数据价值链的生态模式和治理体系,探讨数据价值链生态的研究进展;最后,展望了数据价值链研究的拓展方向。Data value creation activities are divided into fundamental and incremental value activities.Data value chain facilitates the creation of fundamental data value and the value enhancement during the circulation process in the various chains of data collection,transmission,storage,analysis,and application.In light of the absence of a scientific and systematic research paradigm in the current academic research in this field,this paper focuses on the data value chain,systematically elucidating its conceptual framework,evolutionary stages,operational mechanisms,value assessment,and the value chain ecosystem.Additionally,it provides insights into future research directions.Initially,the paper conducts a systematic examination of the conceptual framework and evolutionary stages inherent in the data value chain.Diverse professional backgrounds contribute to the formulation of diverse definitions for the data value chain,resulting in three typical conceptual perspectives based on data flow,data processing technology,and value augmentation.The evolutionary stages of the data value chain originate from various welfare effects brought by information(the information economy stage),undergo gradual embedding of digital technologies(the digital technology embedding stage),and ultimately take shape through the convergence of dual chains(the data value dual‐chain fusion stage).Subsequently,the paper analyzes the mechanism of data value creation,focusing on the data production and usage process chains and the physical chains integrating data with industries.The data value chain demonstrates typical dual‐chain characteristics,where one chain encompasses the process from data production to usage,while the other involves the integration of data with industries.Research on value creation during data operations primarily analyzes its mechanism based on the functioning of these chains,while value creation in physical chains emphasizes the value generated through the integration of data with industries.Furthermore,the paper systematic

关 键 词：数据价值链 价值创造 价值评估 数据生态 

分 类 号：F49[经济管理—产业经济]