我国数据要素流通水平测度:理论逻辑、区域差异与动态演进OACHSSCD

Data circulation is the key to promote the transformation of data into production factors,and its circula-tion level is the core index to measure the marketization allocation efficiency of data elements.Based on resource en-dowment theory and technology potential energy theory,this paper constructs an index system for evaluating the circu-lation level of data elements,measures the circulation level of data elements in various regions of China from 2019 to 2024,and deeply analyzes the regional differences,structural causes and spatio-temporal dynamic evolution character-istics by using Dagum Gini coefficient,variance decomposition method,kernel density estimation and Moran index.The conclusions indicate that:The circulation level of data elements in China generally presents a right-leaning distri-bution pattern,with obvious regional gradient characteristics of"eastern leading,central accelerating catch-up,western and northeast lagging";the overall difference of data elements circulation level in each region is convergent,among which regional difference is the main source of overall difference,and the eastern region contributes the most to re-gional difference;there is obvious spatial positive aggregation characteristics in the circulation level of data elements in China,and the"low-low"aggregation characteristics in western regions are dominant.The conclusion reveals the re-gional differences and evolution characteristics of data elements circulation level in China,which has important value for realizing the deep circulation interaction of data elements and the integration of national data market.