Data Elementization and Assetization:Theoretical Analysis and Practical Exploration
Data elementization and assetization are a key issue in the digital economy era.Against such a backdrop,this article systematically explores the process of data elementization and assetization.It first defines the concept and attributes of data,then analyzes the intrinsic conditions for data elementization and the bottlenecks affecting its circulation,and proposes optimization paths from three dimensions:policy,technology,and regulation;on this basis,the article defines the internal connection between data elementization and data assetization.The article then concentrates on the prerequisites and standard procedures for data assetization,explores the practical advancements through policy and case reviews,cautions against data asset bubbles,dissects the causal mechanisms behind those bubbles,and offers policy recommendations.The principal conclusions are as follows:First,data elementization can be optimized through deepening and innovation of policies,establishing and improving technical standards and certification systems,and enhancing regulatory refinement and foresight.Second,although data elementization and data assetization address different process dimensions,they mutually reinforce each other from the perspective of data circulation value,jointly facilitate the evolution of data forms and the liberation of elemental values.Third,while financial innovation in data assets is a highlight in the exploration phase of data assetization,vigilance is still required against data asset bubbles caused by value assessment biases,market manipulations such as data brushing and related transactions,and risks associated with pledge financing.
万方数据
维普
