2025年3月28日 周五
Legal dilemmas and solution paths in the exploration of data asset securitization
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D922.287;F832.51;F49

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    Abstract:

    Data has become a core driving force for economic development, and revitalizing the value and promoting the use of data assets is the main goal of the current efforts to promote the market-oriented allocation of data elements and comprehensively build a digital China. As the process of realizing the value of data is constrained by financial and technological inputs, the release of data potential faces bottlenecks. Against this background, data asset securitization, as an innovative mode of combining data assets and securities financing, can expand financing channels and reduce financing costs for enterprises to activate the value of data assets, which has attracted much attention and continues to transmit new trends. At present, this new model of securities is in the preliminary stage of exploration, it is necessary to explain the intrinsic rationale for the realization of its value based on the triple value evolution from data resources to data assets to data capitalization, that is, it is the dynamic practice of initially generating data resources to processing and acquiring data assets and then realizing the securitization of data assets, which embodies the value-added value of data elements. In this dynamic process, the unique attributes of data elements distinguish data asset securitization from traditional asset securitization, presenting a deep connection with emerging technologies, especially blockchain technology, and its technologically native characteristics help to facilitate the digital reshaping of the entire process of securities. By reviewing the current development status of the new model of securities coupled with "data+capital", it is found that there are many problems in the exploration of data asset securitization, such as unclear property rights specification, missing transaction mechanism, mismatch of supervision and management, etc., which have become constraints to activate the value of data assets. In view of this, based on the dual objectives of financial innovation and risk prevention and control, the path design should be carried out from the two-dimensional perspective of the synergistic effect of law and technology to crack the realistic dilemma of the current practice of data asset securitization. Specifically, in order to release the value potential of data assets and promote the securitization of data assets, it is necessary to strengthen the supply of the legal system by improving the property rights system, transaction norms and regulatory rules; enhance the technical support of blockchain by promoting the use of technology and perfecting the technical norms; and promote the overall effect of the supply of law and technological empowerment through the synergy of the objectives, the articulation of rules and the coordination of interests.

    Reference
    [1] 谢迪扬.数据资产证券化的法律风险辨识与中国启示:以美国数据资产证券化实践为鉴[J].上海金融,2023(3):57-67.
    [2] IDC,LISBON COUNCIL.European data market study 2021-2023(second report on facts and figures)[R].2023.
    [3] 黄丽华,郭梦珂,邵志清,等.关于构建全国统一的数据资产登记体系的思考[J].中国科学院院刊,2022(10):1426-1434.
    [4] 李香菊,付昭煜,王洋.基于资产属性视角的数据资产课税制度研究[J].税务研究,2022(11):23-28.
    [5] 曹硕,廖倡,朱扬勇.数据要素的证券属性设计研究[J].上海金融,2021(4):71-79.
    [6] 曹硕,廖倡,朱扬勇.数据要素证券化路径研究:基于DAITs模式的探讨[J].证券市场导报,2021(10):44-51.
    [7] 庞琳.数据资源的国家所有:权属反思与重构[J].北京行政学院学报,2022(5):97-108.
    [8] WANG S,KRISCH U.A foundation for building a data-driven culture[J].Applied Marketing Analytics:The Peer-Reviewed Journal,2019,4:238-252.
    [9] 李爱君.数据权利属性与法律特征[J].东方法学,2018(3):64-74.
    [10] 李齐,郭成玉.数据资源确权的理论基础与实践应用框架[J].中国人口·资源与环境,2020(11):206-216.
    [11] 高伟.数据资产管理:盘活大数据时代的隐形财富[M].北京:机械工业出版社,2016:12.
    [12] 大数据技术标准推进委员会.数据资产管理实践白皮书(6.0版)[R].2023.
    [13] 王磊.个人数据商业化利用的利益冲突及其解决[J].法律科学(西北政法大学学报),2021(5):89-100.
    [14] OECD.Perspectives on the value of data and data flows[R].2020.
    [15] EREVELLES S,FUKAWA N, SWAYNE L.Big data consumer analytics and the transformation of marketing[J].Journal of Business Research,2016,69:897-904.
    [16] WANG Y C,HAJLI N.Exploring the path to big data analytics success in healthcare[J].Journal of Business Research,2017,70:287-299.
    [17] GOLDFARB A,TUCKER C.Digital economics[J].Journal of Economic Literature,2019,57:3-43.
    [18] KHANBOUBI F,BOULMAKOUL A,TABAA M.Impact of digital trends using IoT on banking processes[J].Procedia Computer Science,2019,151:77-84.
    [19] 安德鲁·罗曼·韦尔斯,凯茜·威廉斯·江.数据变现:构建用数据驱动增长的策略和解决方案[M].高敬文,译.北京:机械工业出版社,2020:2-3.
    [20] 杜庆昊.数据要素资本化的实现路径[J].中国金融,2020(22):34-36.
    [21] 马治国,张楠.区块链赋能数据资产证券化及其法律治理[J].深圳大学学报(人文社会科学版),2023(3):114-124.
    [22] HANNILA H,SILVOLA R,HARKONEN J,et al.Data-driven begins with data;potential of data assets[J].Journal of Computer Information Systems,2022,62:29-38.
    [23] GHASEMAGHAEI M,CALIC G.Assessing the impact of big data on firm innovation performance:Big data is not always better data[J].Journal of Business Research.2020,108:147-162.
    [24] 蔡昌,赵艳艳,李梦娟.区块链赋能数据资产确权与税收治理[J].税务研究,2021(7):90-97.
    [25] 朱宝丽.数据产权界定:多维视角与体系建构[J].法学论坛,2019(5):78-86.
    [26] 武腾.数据资源的合理利用与财产构造[J].清华法学,2023(1):154-171.
    [27] 陈舟,郑强,吴智崧.我国数据交易平台建设的现实困境与破解之道[J].改革,2022(2):76-87.
    [28] 戚学祥.区块链技术在政府数据治理中的应用:优势、挑战与对策[J].北京理工大学学报(社会科学版),2018(5):105-111.
    [29] 张康之.公共行政:超越工具理性[J].浙江社会科学,2002(4):3-8.
    [30] 陈姿含.数字货币法律规制:技术规则的价值导向[J].西安交通大学学报(社会科学版),2020(3):64-71,80.
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张楠,马治国.数据资产证券化探索的法律困境与解决路径[J].重庆大学学报社会科学版,2024,30(2):211~222

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  • Online: May 08,2024
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