To explore the dynamic composition in the development process of the digital economy and the correlation effect between the digital economy and regional income, this paper combs the connotation of the digital economy and defines its nature, builds an index system for developing digital economy dynamic, and measures the development of digital economy in Zhejiang Province, the innovation highland of China's digital economy from 2003 to 2017, by using entropy method, relative grey relation analysis, and bivariate correlation analysis. The research results show that there is a significant agglomeration effect in the digital economy dynamic in Zhejiang Province from 2003 to 2017, and a significant head effect in the number of mobile Internet users, weighted number of patents per 10,000 persons, the amount of online payment per capita and the number of subscribers accessing the fixed Internet broadband and other indexes. Moreover, there is a strong linkage effect between the dynamic index of digital economy development and regional income, and the amplification, superposition, and multiplication effects of the digital economy on economic development are gradually emerging, which has long played a role in guiding the sustainable growth of regional income. Also, the dynamic index of digital economy development presents the trend of collaborative development and differentiation among the sub-dimensions and between the sub-dimensions and the regional income. 

Wen Liu, Zhenlong Miao. Research on the Relationship between Dynamic Evaluation of Digital Economy and Regional Income Based on Entropy Method. Academic Journal of Business & Management (2022) Vol. 4, Issue 17: 30-40. https://doi.org/10.25236/AJBM.2022.041705.

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