Abstract：Assessing the development trend of data security in China is essential for promoting high-quality digital economy growth.Using panel data from 30 provinces and municipalities between 2014 and 2023,we created a comprehensive evaluation index system for data security.The entropy weight TOPSIS method measured trends at national,provincial,municipal,and regional levels.We analyzed spatial differences and dynamic evolution using the Dagum Gini coefficient,Moran's I,kernel density estimation method,and Markov chain analysis.An agile response mechanism was proposed.The results indicate that China's overall data security shows a consistent upward trend with a distribution pattern of “east > central > west”.Significant regional variations exist.The eastern region exhibits greater disparities than the western region,which are the main source of spatial differences.Data security development demonstrates notable positive spatial agglomeration characteristics and strong stability.At both national levels and within eastern and western regions,there is multi-polarization in development trends.However,polarization in the central region is less pronounced but gradually decreases over time.Overall,the outlook for data security development is promising with strong stability and evidence of club convergence.Nonetheless,cross-type transfer probabilities remain low while high-level provinces exert significant radiation effects.
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