信息生态视角下数据要素价值化驱动因素及发展路径研究  

Study on the Driving Factors and Development Paths of Data Elements Value Creation From the Perspective of Information Ecology

作　　者：耿瑞利 孙瑜 杨瑞仙 游海鹏 高晓宁 Geng Ruili;Sun Yu;Yang Ruixian;You Haipeng;Gao Xiaoning(School of Information Management,Zhengzhou University,Zhengzhou 450001,China;Zhengzhou Data Science Research Center,Zhengzhou 450001,China;Zhengzhou Data Exchange Center Co.,Ltd,Zhengzhou 450046,China)

机构地区：[1]郑州大学信息管理学院,河南郑州450001 [2]郑州市数据科学研究中心,河南郑州450001 [3]郑州数据交易中心有限公司,河南郑州450046

出　　处：《现代情报》2025年第3期65-76,102,共13页Journal of Modern Information

基　　金：河南省高等学校哲学社会科学创新团队项目“数据治理与交易流通”(项目编号:2024-CXTD-01)。

摘　　要：[目的/意义]数据要素价值化在数字中国背景下成为我国数字经济发展的核心议题,对其展开系统审视,揭示各地区现阶段发展型态和建立完整发展路径有助于促进数据价值释放。[方法/过程]借由信息生态理论建立数据要素生态观,构建数据要素价值化驱动因素模型,探究数据层、技术层、主体层、环境层多重因素的联动效应。以27个省(自治区)为分析样本,识别地区发展型态特征,最终厘清数据要素价值化系统发展路径。[结果/结论]当前各地区数据要素价值化实践中存在成熟引领型、全力追赶型和政府推动型3种型态:成熟引领型地区凭借其既有优势,能够快速响应国家数据发展战略,全面推进数据要素价值化,从而产生领先的数字经济效应;全力追赶型地区虽然存在数据资源禀赋短板,但其依赖良好的技术和产业基础,加之政府的大力支持,逐渐展现出数据要素价值化后发之势;政府推动型地区更加依赖政府部门和政策制度的推动,这种自上而下的发展型态也成为大数据产业发展水平相对落后的地区开展数据要素价值化的主要模式。提出本体、主体、技术、环境因素共同驱动的数据要素价值化系统发展路径,各地区应准确定位自身发展特征,针对性优化数据要素在系统中的持续流动和价值释放。[Purpose/Significance]The value Creation of data elements has become a core issue in the development of China's digital economy in the context of Digital China.A systematic examination of it,revealing the current development characteristics and patterns of each region,and improving the overall logical path can help promote the release of data value.[Method/Process]Based on the theory of information ecology,the study established an ecological view of data elements,constructed a model of factors affecting the value creation of data elements to explored the linkage effects of multiple driving factors at the data layer,technology layer,subject layer,and environmental layer.Using 27 provinces(autonomous regions)as analysis samples,the study identified the development characteristics of different regions,proposed optimization ideas and ultimately clarified the systematic logic path of data element value creation.[Result/Conclusion]There are three characteristic patterns in the current practice of data element value creation in various regions:mature leading,fully catching up,and government driven.Mature leading regions,with their existing advantages,can quickly respond to national data development strategies,comprehensively promote data element value creation,and thus generate leading digital economy effects;Although there are shortcomings in data resource endowments in fully catching up regions,they rely on good technological capabilities,industrial foundations and strong government support,gradually showing a trend of post value development of data elements;The government driven regions rely more on the promotion of government departments,data industries,and policy systems,and this top-down development path has become the main model for data value creation in regions with relatively backward development levels of the big data industry.The study proposes a systematic development path for a data element value creation driven by ontology,subject,technology,and environmental factors.Each region should accurately position

关 键 词：数据要素价值化 信息生态理论 驱动因素 地区发展型态 系统化路径 

分 类 号：G203[文化科学—传播学] F49[经济管理—产业经济]