Research on Measuring the Development Level of the Digital Economy Based on Fuzzy Comprehensive Evaluation Method: A Case Study of the Yangtze River Mid-Lower Reaches

Identifying the development of the digital economy is crucial for promoting digital innovation in China, achieving internet connectivity, and enhancing the country’s overall strength. To this end, this study first constructs an evaluation index system for digital economy development, comprising 15 indicators across three levels. Next, the Analytic Hierarchy Process (AHP) is employed to assign weights to these indicators. Finally, the Fuzzy Comprehensive Evaluation Method is used to measure and compare the digital economy development scores of provinces and cities in the Yangtze River mid-lower reaches, aiming to explore the key factors influencing digital economy development. The findings reveal that the R&D expenditure accounts for GDP proportion and science and technology expenditure are significant indicators affecting digital economy growth. Zhejiang Province has the highest level of digital economy development, while Jiangxi Province has the lowest. Based on these findings, suggestions are made to strengthen the digital foundation and increase investment in innovation.

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Publication Details

Journal
Advances in Economics and Management Research
Published
2025-03-28
DOI
https://doi.org/10.56028/aemr.13.1.254.2025
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Measuring the Development Level of the Digital Economy Based on Fuzzy Comprehensive Evaluation Method: A Case Study of the Yangtze River Mid-Lower Reaches

Yang Lin
Advances in Economics and Management Research
Regional Development and Environment
article

Research on Measuring the Development Level of the Digital Economy Based on Fuzzy Comprehensive Evaluation Method: A Case Study of the Yangtze River Mid-Lower Reaches

Yang Lin
article en

Abstract

Identifying the development of the digital economy is crucial for promoting digital innovation in China, achieving internet connectivity, and enhancing the country’s overall strength. To this end, this study first constructs an evaluation index system for digital economy development, comprising 15 indicators across three levels. Next, the Analytic Hierarchy Process (AHP) is employed to assign weights to these indicators. Finally, the Fuzzy Comprehensive Evaluation Method is used to measure and compare the digital economy development scores of provinces and cities in the Yangtze River mid-lower reaches, aiming to explore the key factors influencing digital economy development. The findings reveal that the R&D expenditure accounts for GDP proportion and science and technology expenditure are significant indicators affecting digital economy growth. Zhejiang Province has the highest level of digital economy development, while Jiangxi Province has the lowest. Based on these findings, suggestions are made to strengthen the digital foundation and increase investment in innovation.

Advances in Economics and Management ResearchVol. 13(1)
Jiangxi University of Finance and Economics (CN)
Openalex Percentile: Top 91%
Regional Development and Environment
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