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Article type: Research Article
Authors: Liu, Sijiaa | Guo, Zixuea; b; *
Affiliations: [a] School of Management, Hebei University, Baoding, Hebei, China | [b] Center for Common Prosperity Research, Hebei University, Baoding, Hebei, China
Correspondence: [*] Corresponding author. Zixue Guo, School of Management, Hebei University, Baoding, Hebei 071002, China. E-mail: [email protected].
Abstract: The digital economy based on the new generation of information technology has increasingly become an important driving force for economic development, and it is of great practical significance to study the evaluation of the development level of the digital economy. On the basis of summarizing the connotation of the digital economy, the evaluation index system of digital economy development level is firstly constructed from four dimensions of digital infrastructure, digital industry, digital application level and digital innovation ability. Secondly, the combination weighting method of CRITIC-entropy method is used to weight the indicators. Thirdly, the evaluation model of digital economy development level based on grey correlation-VIKOR method is constructed, and the relevant data of 30 provinces in China in 2020 are taken as samples for empirical research. The results show that there is significant regional heterogeneity in the development level of digital economy in China. The development level of digital economy in eastern China is much higher than that in western China. The most important factor affecting the development level of China’s digital economy is the development of software industry. At the same time, digital innovation ability is also an important index to distinguish the development level of digital economy. Finally, corresponding policy suggestions are put forward in response to the problems in the development of China’s digital economy.
Keywords: Digital economy, combination weighting method, improved VIKOR method, regional economy
DOI: 10.3233/JIFS-223567
Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 5, pp. 7723-7738, 2023
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