This paper mainly evaluates three aspects, namely digital infrastructure, R&D and digital industry development, uses entropy weight-TOPSIS method to measure the level of China's digital economy development and adopts the spatial Markov method, Dagum's Gini coefficient and Kernel Density Estimation to analyse the regional differences and dynamic evolution. The study found that:Firstly, the level of digital economy development continues to progress, but the speed of development is not fast, the eastern region has the highest level of digital economy development, and the western region has the lowest ; Secondly, the development of digital economy has a bipolar development trend, the eastern region has a better development of the digital economy, and the development of the western region is relatively lagging behind; Thirdly, the development of the digital economy shows obvious regional disparities, and the disparities are most obvious in the western region, and the disparities between eastern and western regions are the most significant. The difference between the eastern and western regions is most obvious; the development of digital economy in neighbouring regions will affect each other.

Yuanyuan Zheng. Analysis of Regional Differences in China's Digital Economy Development and Dynamic Evolution. Academic Journal of Business & Management (2024) Vol. 6, Issue 8: 109-118. https://doi.org/10.25236/AJBM.2024.060817.

[1] Man Xu, Chuang Deng, Dayu Liu. Digital Economy Leading High-quality Economic Development: Mechanism and Research Prospects. Contemporary Economic Management 45.02(2023): 66-72.

[2] Z. Li and Y. Liu, "Research on the Spatial Distribution Pattern and Influencing Factors of Digital Economy Development in China," in IEEE Access, vol. 9, pp. 63094-63106, 2021. pp. 63094-63106, 2021.

[3] Huimei Yang, and Lu Jiang. Digital Economy, Spatial Effect and Total Factor Productivity. Statistical Research 38.04(2021):3-15.

[4] Di He, Xuanzhuo Zhao, and Qi Qi. Measurement of the development level, spatio-temporal pattern and regional differences of China's digital economy. Industrial Technology and Economics 42.03 (2023):54-62. 

[5] Yingjie Li, and Ping Han. Comprehensive Evaluation and Prediction of China's Digital Economy Development. Statistics and Decision 38.02(2022):90-94. 

[6] Xiaoyi Wu, and Yajing Zhang. The development status and international competitiveness of China's digital economy. Scientific Research Management 41.05(2020):250-258. 

[7] Chenhui Ding, et al. Spatiotemporal pattern and convergence of China's digital economy development level. Journal of Technology Economics and Management.07 (2023):67-72. 

[8] Luyang Tang, et al. Measurement and Dynamic Evolution Analysis of China's Digital Economy Development. Mathematical Statistics and Management, 42.05(2023):869-882. 

[9] Yejun Yang, Hua'an Shi, and Malin Song. Research on the Development Characteristics of Digital Economy in Eight Comprehensive Economic Zones in China. Journal of Hohai University (Philosophy and Social Science) 25.02(2023):118-132. 

[10] Maomao Ma. Research on the level of digital economy development and influencing factors in the Yangtze River Economic Belt. 2023. Jiangxi University of Finance and Economics, MA thesis.

[11] Song Han, and Weishuo Wang. Digital economy, R&D innovation and high-quality development of cultural industries. Journal of Shandong University (Philosophy and Social Science) .03(2022):25-37.

[12] Xiaoyu Wan, and Yanqing Luo. Measurement of the level of digital economy development and its impact on total factor productivity. Reform .01(2022):101-118.

[13] Ting Hao. Digital Economy, Innovation Capability and High-quality Economic Development. 2023. Yunnan University of Finance and Economics, MA thesis.

[14] Bin Sheng, and Yuying Liu. Research on the measurement and spatial differentiation characteristics of China's digital economy development index. Nanjing Social Sciences .01(2022):43-54. 

[15] Fu, L.; Liu, B.; Zhu, Z.; Cao, J.; Sun, C.; Yu, Z. Analysis of the coupling coordinated development and evolutionary trend of digital economy and ecological environment. Front. Environ. Sci. 2022, 10, 1006354.