基于数据价值链的数据要素市场建设理路探索*

周 毅

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图书与情报 ›› 2023, Vol. 43 ›› Issue (02) : 1-11. DOI: 10.11968/tsyqb.1003-6938.2023017
专题:数据要素的价值体系及其实现空间

基于数据价值链的数据要素市场建设理路探索*

  • 周   毅
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Research on the Rational Way of Data Factor Market Construction Based on Data value Chain

  • Zhou Yi

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摘要

数据要素价值化过程与数据要素市场建设互为因果、互相关联,它们共同决定着数据生产要素的作用和我国数字经济发展的水平与能力。文章运用文献分析法和归纳演绎法,在数据价值链解构基础上,提出从数据价值链参与主体及其关系、数据增值化过程、数据产品与服务类型变化、数据服务业生成和数据管理制度保障等方面理解和构建数据要素市场。认为数据要素市场建设应兼顾其多种表现形态,数据服务业与数据要素市场建设具有互为促进作用,数据要素市场主体的创造力和消费力是决定数据要素市场发展活力的关键,有关数据流通具体管理制度体系与制度清单的落实是数据要素市场持发展的重要保证。

Abstract

The process of data factor value and data factor market construction are causally related and correlated with each other. They determine the function of data production factors and the level of digital economy development. This paper proposes to understand and construct the data factor market from the aspects of data value chain participants and their relationship, data value-added process, data product and service type change, data service industry generation, and data management system guarantee. This is done using literature analysis and inductive method based on deconstruction of data value chain. It is concluded that the construction of the data factor market should take into account its various forms. Data service industry and data factor market construction promote each other, and the creativity and consumption power of data factor market players are key to determining the development vitality of the data factor market. The implementation of specific management systems and system lists for data circulation is an important guarantee for the development of the data element market.

关键词

数据价值链 / 数据要素市场 / 市场主体 / 数据产品与服务 / 数据服务业

Key words

data value chain; / data factor market; / market main body; / data products and services; / data services industry

引用本文

导出引用
周 毅. 基于数据价值链的数据要素市场建设理路探索*. 图书与情报. 2023, 43(02): 1-11 https://doi.org/10.11968/tsyqb.1003-6938.2023017
Zhou Yi. Research on the Rational Way of Data Factor Market Construction Based on Data value Chain. Library & Information. 2023, 43(02): 1-11 https://doi.org/10.11968/tsyqb.1003-6938.2023017

基金

*本文系国家社会科学基金重大项目“基于数智融合的信息分析方法创新与应用研究”(项目编号:22&ZD326)研究成果之一。
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