数据要素价值化动态过程机制研究

数据作为全新的生产要素,已成为数字经济时代的“石油”,数据要素驱动的创新创业正成为新发展阶段实现高质量发展的新引擎。但鲜有针对数据要素价值化过程及其价值创造机制的研究。本研究针对新发展格局下数据要素价值化的难题,结合数据要素的“5I”社会属性,建构“要素-机制-绩效”这一过程视角下数据要素价值化的动态整合理论模型,系统论述通过数据银行实现数据要素多维价值创造的五阶段动态过程机制,也即低成本汇聚、规范化确权、高效率治理、资产化交易和全场景应用,讨论了落实这一机制的现实挑战和政策建议。本研究为打开数据要素价值化过程“黑箱”,加速数据要素价值化、赋能数字产业化和产业数字化,进而实现数字创新引领新发展阶段的高质量可持续发展提供理论与实践启示。

Research on the Dynamic Value Creation Process of Data Element

Big data as a new factor of production has become the "oil" in the era of digitalization. Innovation and entrepreneurship driven by data elements is becoming a new engine to achieve high-quality development in the new era. Yet there are relatively few researches on the value realization process and value creation process of data elements. This study aims at the problem of valuing data elements under the new development pattern and the mechanism of realizing the value of big data. It first discusses the "5I"(Integration, Interconnection, Insight, Improvement, Iteration) social attribute of data elements, followed by proposing a "factor-mechanism-performance" dynamic holistic model with a core part of data bank. Data bank is based on the full storage, comprehensive aggregation, standard right confirmation and efficient governance of massive data. Based on the social attributes of data elements, the mode and concept of banks, it makes data as a new kind of economic resource and further a tradeable asset, and finally realizes the transaction and application value-added of data. Data bank is a new business form and value-added service under the market-oriented allocation of data elements in the era of data economy. Then it systematically discusses the five-stage dynamic process mechanism of multi-dimensional value creation of data elements through data bank, that is, low cost convergence, standardized right confirmation, highly efficient governance, asset trading and full scenario application. Furthermore, it discusses the challenges, pointing out that the core technology is not yet mature and the value efficiency is low, the orientation of organization is unclear and the system and law need to be perfected. Finally, it proposes future research topics related big data value creation and policy suggestions for the implementation of this dynamic holistic mechanism, with a call for constructing a value creating ecosystem of data elements with Chinese characteristics so as to enable China’s new development pattern and sustainable development. This study provides theoretical and practical enlightenment for opening the "black box" of data elements value creation process, accelerating the value creation of data elements, enabling digital industrialization and industry digitalization, and then realizing high-quality sustainable development led by digital innovation in the new development stage.