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作 者:马治国[1] 张楠 MA Zhi-guo;ZHANG Nan(School of Law,Xi'an Jiaotong University,Xi'an,Shaanxi,710049)
出 处:《深圳大学学报(人文社会科学版)》2023年第3期114-124,共11页Journal of Shenzhen University:Humanities & Social Sciences
基 金:中国博士后科学基金面上项目“商业数据的知识产权保护路径研究”(2022M710109);陕西省社会科学基金项目“陕西版权贸易创新发展模式研究”(2019ZD10)。
摘 要:数据资产证券化是数据资产与证券融资有效结合的一项金融创新工具,有助于激活数据要素潜能和挖掘数据资产价值。目前,我国初步具备了探索“数据+资本”双要素融合的基础。在人工智能、大数据、云计算等关键技术推动证券创新的同时,区块链凭借技术原生特性在信息安全、信用建设以及监管革新等方面凸显着优势,其实质是对数据资产证券化流程的数字化重构。然而,区块链在具有赋能效用的同时还存在3个方面的潜在风险:一是法律制度滞后于技术赋能实践导致的法律风险,二是区块链自身局限与不当应用引发的技术风险,三是现有监管模式难以适配金融科技创新造成的监管风险。为此,有必要兼顾创新运用与风险防范,从完善法律制度、明确行为规范、强化金融监管等维度构建法律治理框架,为盘活数据资产价值和推进数据资产证券化提供制度与实践参考。Data asset securitization is a financial innovation tool that effectively combines data assets and securities financing,which helps activate the potential of data elements and promote data asset value mining.At present,China has the initial foundation to explore the combination of“data+capital”,and key technologies such as artificial intelligence,big data,cloud computing and blockchain provide technical support to promote securities innovation.It is essentially a digital reconfiguration of the securitization process of data assets by blockchain.However,as a new technology,while blockchain has an enabling effect,there are three potential risks,including the legal risk caused by the existing system lagging behind the technology-enabled practice,the technical risk caused by the limitations and improper application of blockchain,and the regulatory risk caused by the difficulty of adapting the existing regulatory model to fintech innovation.In this regard,it is necessary to try to systematically build a legal governance framework based on the integration of innovation and risk prevention,and to provide institutional and practical references for revitalizing the value of data assets and promoting securitization of data assets by improving the legal system,clarifying behavioral norms and strengthening financial supervision.
关 键 词:区块链 数据资产 证券化 金融科技 技术赋能 法律治理
分 类 号:TP311.1[自动化与计算机技术—计算机软件与理论] F832.5[自动化与计算机技术—计算机科学与技术]
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