研究论文

数据生态视角下跨境数据价值实现影响机制研究

  • 郭海玲 ,
  • 卫金金 ,
  • 刘仲山 ,
  • 魏悦华
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  • 1河北大学管理学院 保定 071002;
    2 河北省数字治理与协同治理研究基地 保定 071002
郭海玲,教授,博士生导师;卫金金,博士研究生,通信作者,E-mail:14735012858@163.com;刘仲山,硕士研究生;魏悦华,硕士研究生。

收稿日期: 2024-08-14

  修回日期: 2024-12-24

  网络出版日期: 2025-04-10

基金资助

本文系河北省教育厅在读研究生创新能力培养资助项目“数据生态视角下跨境数据价值实现影响机制研究”(项目编号:CXZZBS2025030)和河北大学社科培育项目“网络信息内容生态治理下数字责任履行的动力机制研究”(项目编号:2024HPY004)研究成果之一。

Research on the Influence Mechanism of Cross-border Data Value Realization from the Perspective of Data Ecology

  • Guo Hailing ,
  • Wei Jinjin ,
  • Liu Zhongshan ,
  • Wei Yuehua
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  • 1 School of Management, Hebei University, Baoding 071002;
    2 Research Institute for Digital Governance and Collaborative Governance of Hebei Province, Baoding 071002
Guo Hailing,professor,doctoral supervisor;Wei Jinjin,doctoral candidate,corresponding author,E-mail:14735012858@163.com;Liu Zhongshan,master candidate;Wei Yuehua,master candidate.

Received date: 2024-08-14

  Revised date: 2024-12-24

  Online published: 2025-04-10

Supported by

This work is supported by Post-graduate’s Innovation Fund project of Hebei Province, titled “Research on the Influence Mechanism of Crossborder Data Value Realization from the Perspective of Data Ecology” (Grant No. CXZZBS2025030) and Social Science Cultivation Program of Hebei University titled “Research on the Dynamic Mechanism of Digital Responsibility under the Ecological Governance of Network Information Content” (Grant No. 2024HPY004).

摘要

[目的/意义] 加速跨境数据流动,推动跨境数据价值实现是促进全球数字经济发展的重要路径,探究跨境数据价值实现影响机制有助于推动数据价值实现。[方法/过程] 基于数据生态理论,搭建跨境数据价值实现生态系统结构框架,梳理跨境数据价值实现影响因素,构建跨境数据价值实现系统动力模型,并通过仿真分析发现关键影响因素。[结果/结论] 跨境数据参与主体关系和跨境数据资源对跨境数据价值实现具有差异化促进作用。跨境数据价值实现前期主要由跨境数据参与主体关系驱动,中期由参与主体关系和跨境数据资源共同驱动,后期关系驱动对跨境数据价值实现的影响更大;跨境数据重要性分级、跨境数据关联整合度、跨境数据消费者数据素养及跨境数据价值实现参与主体信任度对跨境数据价值实现影响较为敏感,且均正向影响跨境数据价值实现量。最后在此基础上为跨境数据价值实现提出对策建议。

本文引用格式

郭海玲 , 卫金金 , 刘仲山 , 魏悦华 . 数据生态视角下跨境数据价值实现影响机制研究[J]. 图书情报工作, 2025 , 69(8) : 90 -106 . DOI: 10.13266/j.issn.0252-3116.2025.08.009

Abstract

[Purpose/Significance] Accelerating cross-border data flows and promoting the realization of the value of cross-border data is an important path for promoting the development of the global digital economy. Exploring the influence mechanism of cross-border data value realization helps to further promote it. [Method/Process] This study built a cross-border data value realization ecosystem structural framework based on data ecology theory. It identified the influencing factors of cross-border data value realization, constructed a system dynamics, and explored the key influencing factors through simulation analysis. [Result/Conclusion] It finds that cross-border data participant relationships and data resources differentially contribute to cross-border data value realization. Cross-border data value realization is primarily driven by data participant relations in the early stage, by both participant relationships and cross-border data resources in the middle stage, and by relationship-driven factor more strongly in the late stage. Cross-border data importance grading, cross-border data relevance and integration, data consumer’s data literacy, and cross-border data value realization participants trust are more sensitive to the influence of cross-border data value realization, positively impacting the extent of data value realization. Finally, on this basis, it proposes countermeasures for the realization of the cross-border data value.

参考文献

[1] 许多奇. 个人数据跨境流动规制的国际格局及中国应对 [J]. 法 学 论 坛, 2018, 33(3): 130-137. (XU D Q. International pattern of personal data cross-border flow regulation and China's response[J]. Legal forum, 2018, 33(3): 130-137.)
[2] MCGUIRE R P. The information age: an introduction to transborder data flow[J]. Jurimetrics.1979, 20(1): 1-7.
[3] 广东外语外贸大学粤港澳大湾区研究院课题组, 申明浩, 申 么, 等. 数据跨境有序流动何以赋能统一大市场建设——基于粤港澳大湾区建设视角分析[J]. 国际经贸探索, 2022, 38(11): 82-94. (Research group of institute of studies for the greater bay area, SHEN M H, SHEN M, et al. How does the orderly cross-border flow of data empower the construction of a unified national market: an analysis based on the perspective of construction of Guangdong-Hong Kong-Macao Greater Bay Area[J]. International economics and trade research, 2022, 38(11): 82-94.)
[4] 石静霞. 国际贸易投资规则的再构建及中国的因应[J]. 中国 社会科学, 2015(9): 128-145, 206. (SHI J X. The reconstruction of investment rules in international trade and the Chinese response[J]. Social sciences in China, 2015(9): 128-145, 206.)
[5] 陈颖, 薛澜. 全球跨境数据流动治理的演进与趋势[J]. 国际 经济合作, 2024, 40(2): 55-66, 93. (CHEN Y, XUE L. Evolution and trend of global governance on cross-border data flows[J]. Journal of international economic cooperation, 2024, 40(2): 55-66, 93.)
[6] 王永进, 谢芳, 王文斌. 跨境数据流动政策的福利效应:制约 因素与跨国协调[J]. 经济研究, 2024, 59(9): 99-117. (WANG Y J, XIE F, WANG W B. Welfare effects of cross-border data flow policies: constraints and international coordination[J]. Economic research journal, 2024, 59(9): 99-117.)
[7] 吴佳纯, 董克, 马廷灿. 我国数据跨境流动治理政策分析与优 化路径研究——基于 “ 执行主体 — 政策工具 — 政策目标 ” 协同视角[J/OL]. 现代情报, 1-20[2025-01-02]. http://kns.cnki.net/kcms/detail/22.1182.G3.20241204.1120.004.html. (WU J C, DONG K, MA T C. Research on policy analysis and optimization path of cross-border data flow governance in China-based on the synergistic perspective of "executing subjects—policy tools— policy objectives"[J/OL]. Journal of modern information, 1-20[2025-01-02]. http://kns.cnki.net/kcms/detail/22.1182.G3.20241204.1120.004.html.)
[8] 王佳宜, 王子岩. 个人数据跨境流动规则的欧美博弈及中国 因应——基于双重外部性视角[J]. 电子政务, 2022(5): 99-111. (WANG J Y, WANG Z Y. The competition between Europe and the U.S. on personal data cross-border flow rules and China's response: a dual externality perspective[J]. E-Government, 2022(5): 99-111.)
[9] 徐瑛晗, 纪孟汝.“ 三同时 ” 制度:个人数据跨境流动风险 监管之创新[J]. 情报杂志, 2022, 41(7): 84-90. (XU Y H, JI M R. "Three simultaneities" system: innovation of risk supervision of cross-border flow of personal data[J]. Journal of intelligence, 2022, 41(7): 84-90.)
[10] 刘金瑞. 数据跨境双轨制下个人信息出境监管豁免制度的适 用与完善[J]. 财经法学, 2024(5): 23-40. (LIU J R. Application and improvement of exemption system from supervision on outbound transfer of personal information under the dual-track system for cross-border data[J]. Law and economy, 2024(5): 23-40.)
[11] 郭德香. 我国数据出境安全治理的多重困境与路径革新[J]. 法学评论, 2024, 42(3): 170-181. (GUO D X. Multiple dilemmas and path innovation of security governance of data exit[J]. Law review, 2024, 42(3): 170-181.)
[12] 李金, 徐姗, 卓子寒, 等. 数据跨境流转的风险测度与分 析——基于数据出境统计信息的实证研究[J]. 管理世 界, 2023, 39(7): 180-201. (LI J, XU S, ZHUO Z H, et al. Risk measurement and analysis for cross-border data flow: an empirical study based on statistics of outbound data[J]. Journal of management world, 2023, 39(7): 180-201.)
[13] 冉从敬, 何梦婷, 刘先瑞. 数据主权视野下我国跨境数据流动 治理与对策研究[J]. 图书与情报, 2021(4): 1-14. (RAN C J, HE M T, LIU X R. Research on the governance and countermeasures of China's cross-border data flows from the perspective of data sovereignty[J]. Library & information, 2021(4): 1-14.)
[14] 李晓楠, 宋阳. 国家安全视域下数据出境审查规则研究[J]. 情报杂志, 2021, 40(10): 74-82. (LI X N, SONG Y. Research on data exit review rules from the perspective of national security[J]. Journal of intelligence, 2021, 40(10): 74-82.)
[15] 蔡继明, 刘媛, 高宏, 等. 数据要素参与价值创造的途径——基于广义价值论的一般均衡分析[J]. 管理世界, 2022, 38(7): 108-121. (CAI J M, LIU Y, GAO H, et al. The approach of data factor participating in value creation: a general equilibrium analysis based on the general theory of value[J]. Journal of management world, 2022, 38(7): 108-121.)
[16] MILLER H G, MORK P. From data to decisions: a value chain for big data[J]. IT professional, 2013, 15(1): 57-59.
[17] 郭宇, 张传洋, 刘梦婷, 等. 用户信息焦虑纾解驱动医疗健 康大数据价值实现影响因素与路径研究[J]. 图书情报工作, 2023, 67(15): 25-34. (GUO Y, ZHANG C Y, LIU M T, et al. Research on influencing factors and paths for the reduction of users' information anxiety drives the realization of the value of medical and health big data[J]. Library and information service, 2023, 67(15): 25-34.)
[18] 任福兵, 孙美玲. 基于价值链理论的政府开放数据价值增 值过程与机理研究[J]. 情报资料工作, 2021, 42(4): 56-63. (REN F B, SUN M L. Research on the value-added process and mechanism of government open data based on value chain theory[J]. Information and documentation services, 2021, 42(4): 56-63.)
[19] GUSTAFSON T, FINK D. Winning within the data value chain[J]. Strategy & innovation, 2013, 11(2): 7-13.
[20] 孙建军, 巴志超, 夏义堃. 数据要素市场体系建构与价值实 现路径探索[J]. 情报学报, 2024, 43(1): 1-9. (SUN J J, BA Z C, XIA Y K. System construction and value realization paths of data factor markets[J]. Journal of the China Society for Scientific and Technical Information, 2024, 43(1): 1-9.)
[21] 李海舰, 赵丽. 数据成为生产要素: 特征、机制与价值形态演 进[J]. 上海经济研究, 2021(8): 48-59. (LI H J, ZHAO L. Data becomes a factor of production: characteristics, mechanisms, and the evolution of value form[J]. Shanghai journal of economics, 2021(8): 48-59.)
[22] 王晶, 王卫, 张梦君. 开放政府数据价值实现保障机制研 究——基于系统动力学方法[J]. 图书馆学研究, 2019(16): 51-59. (WANG J, WANG W, ZHANG M J. Guarantee mechanism for open government data value realization: a study based on system dynamics[J]. Research on library science, 2019(16): 51-59.)
[23] 张晓娟, 莫富传, 冯翠翠. 政府数据开放价值实现的机理: 基于系统动力学的分析[J]. 情报理论与实践, 2022, 45(5): 75-83. (ZHANG X J, MO F C, FENG C C. The mechanism of open government data value realization: an analysis based on system dynamics[J]. Information studies: theory & application, 2022, 45(5): 75-83.)
[24] 马费成, 吴逸姝, 卢慧质. 数据要素价值实现路径研究[J]. 信 息资源管理学报, 2023, 13(2): 4-11. (MA F C, WU Y S, LU H Z. Research on the path to realize the value of data elements[J]. Journal of information resources management, 2023, 13(2): 4-11.)
[25] 阳巧英, 夏义堃. 我国数据要素价值形成机理、影响因 素与实现路径——基于扎根理论的分析[J]. 图书与情 报, 2023(2): 12-22. (YANG Q Y, XIA Y K. The formation mechanism, influencing factors and implementation path of data factor value[J]. Library & information, 2023(2): 12-22.)
[26] DING L, LEBO T, ERICKSON J S, et al. TWC LOGD: a portal for linked open government data ecosystems[J]. Journal of web semantics, 2011, 9(3): 325-333.
[27] 李立睿, 邓仲华.“ 互联网 +” 视角下的科学数据生态系统 研究[J]. 图书与情报, 2016(2): 66-71. (LI L R, DENG Z H. Research on scientific data ecosystem from the perspective of "Internet+"[J]. Library & information, 2016(2): 66-71.)
[28] HARRISON T M, PARDO T A, COOK M. Creating open government ecosystems: a research and development agenda[J]. Future Internet, 2012, 4(4): 900-928.
[29] 李北伟, 季忠洋, 朱婧祎. 大数据生态系统构建机制研究——以阿里巴巴为例[J]. 情报科学, 2018, 36(2): 43-47. (LI B W, JI Z Y, ZHU J Y. Research on the construction mechanisms of big data ecosystem: a case study of Alibaba[J]. Information science, 2018, 36(2): 43-47.)
[30] SHIN D H, CHOI M J. Ecological views of big data: perspectives and issues[J]. Telematics and informatics, 2015, 32(2): 311-320.
[31] 何晶晶, 张心宇. 中国健康医疗数据跨境流动规制探析[J]. 国 际 法 研 究, 2022, 52(6): 62-74. (HE J J, ZHANG X Y. On regulatory issues of health data cross-border flow in China[J]. Chinese review of international law, 2022, 52(6): 62-74.)
[32] 沈俊鑫, 张彤昕. 基于价值链理论的互联网企业数据资产 价值评估[J]. 科技管理研究, 2024, 44(7): 124-134. (SHEN J X, ZHANG T X. Value evaluation of Internet enterprise data assets based on value chain theory[J]. Science and technology management research, 2024, 44(7): 124-134.)
[33] 袁红, 王焘. 政府开放数据生态系统可持续发展实现路径 的 系 统 动 力 学 分 析[J]. 图 书 情 报 工 作, 2021, 65(17): 13-25. (YUAN H, WANG T. System dynamics analysis of the sustainable development path of the government open data ecosystem[J]. Library and information service, 2021, 65(17): 13-25.)
[34] 卫承霏, 蒋洁. 全球跨境数据安全治理的多维逻辑与中国应 对[J]. 图书与情报, 2022(6): 26-33. (WEI C F, JIANG J. Multidimensional logic of cross-border data security governance and China's response[J]. Library & information, 2022(6): 26-33.)
[35] 唐巧盈, 杨嵘均. 跨境数据流动治理的双重悖论、运演逻 辑 及 其 趋 势[J]. 东 南 学 术, 2022, 288(2): 72-83. (TANG Q Y, YANG R J. The dual paradox, operational logic and trends of cross-border data flow governance[J]. Southeast academic research, 2022, 288(2): 72-83.)
[36] 茶洪旺, 付伟, 郑婷婷. 数据跨境流动政策的国际比较与反思 [J]. 电子政务, 2019, 197(5): 123-129. (CHA H W, FU W, ZHENG T T. International comparison and reflection on policies for crossborder data flow[J]. E-Government, 2019, 197(5): 123-129.
[37] 孔庆江, 王楚晴. 数据跨境流动全球治理:国家间信任关 系的缺失与构建[J]. 现代传播 (中国传媒大学学报), 2022, 44(10): 65-70. (KONG Q J, WANG C Q. Global governance of cross-border data flows: the absence and construction of trust relations between countries[J]. Modern communication (Journal of Communication University of China), 2022, 44(10): 65-70.
[38] 杜雁芸. 大数据时代国家数据主权问题研究[J]. 国际观察, 2016, 141(3): 1-14. (DU Y Y. National data sovereignty in the big data era[J]. International review, 2016, 141(3): 1-14.)
[39] 李勇建, 李佳佳, 孙晓晨, 等. 基于系统动力学的 “ 制造链+ 平台 ” 双模式价值共创实现动因研究[J]. 系统工程理论与 实践, 2023, 43(12): 3549-3569. (LI Y J, LI J J, SUN X C, et al. Research on the motivation of "manufacturing chain + platform" dual mode value co-creation based on system dynamics[J]. Systems engineering-theory & practice, 2023, 43(12): 3549-3569.)
[40] 李晓妍. 面向产业技术创新的智慧情报服务生态系统构建及 系统动力学分析[J]. 情报科学, 2024, 42(5): 120-129. (LI X Y. Construction and system dynamics analysis of smart intelligence service ecosystem for industrial technological innovation[J]. Information science, 2024, 42(5): 120-129.)
[41] 齐丽云, 汪克夷, 张芳芳, 等. 企业内部知识传播的系统动力 学模型研究[J]. 管理科学, 2008, 21(6): 9-20. (QI L Y, WANG K Y, ZHANG F F, et al. A research on the model of knowledge transfer based on system dynamics in the enterprise[J]. Journal of management science, 2008, 21(6): 9-20.)
[42] LIU X, ZENG M. Renewable energy investment risk evaluation model based on system dynamics[J]. Renewable and sustainable energy reviews, 2017, 73: 782-788.
[43] 邹纯龙, 马海群, 王今. 公共数据安全韧性治理体系的系统动 力学分析[J]. 图书情报工作, 2024, 68(3): 3-14. (ZOU C L, MA H Q, WANG J. System dynamics analysis of public data security resilience governance system[J]. Library and information service, 2024, 68(3): 3-14.)
[44] 赵伟, 赵奎涛, 彭洁, 等. 科技资源的价值及其价值表现分 析[J]. 科学学研究, 2008, 26(3): 461-465. (ZHAO W, ZHAO K T, PENG J. Analysis on the value and the value manifestation of science and technology resources[J]. Studies in science of science, 2008, 26(3): 461-465.)
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