The Measurement and Spatial-Temporal Distribution of the Development Level of China's Digital Economy

Abstract

Aims: Based on the latest classification standard of digital economy issued by the National Bureau of Statistics of China, this paper makes statistical measurement and analysis of the spatial and temporal distribution of the development level of China's digital economy. Study Design: Establish an indicator system for the development level of the digital economy and measure the spatial correlation between different regions. Place and Duration of Study: School of Statistics and Application, Anhui University of Finance and Economics, China March to May 2023. Methodology: Entropy method, kernel density estimation, Moran's I index and other statistical methods. Results: It is found that China's digital economy is developing rapidly, but the development is obviously unbalanced, and the gap between high and low levels is increasing year by year. The development level of digital economy in provinces and cities has positive spatial autocorrelation, showing low-low clustering and high-high clustering spatial agglomeration phenomenon. Conclusion: It is suggested to increase investment in digital innovation, strengthen regional cooperation, and adopt policies based on local conditions, so as to narrow regional gaps and promote the healthy and sustainable development of digital economy.