Research on the Measurement of National Digital Economy Development Based on AHP-Topsis Model
DOI:
https://doi.org/10.56028/aemr.14.1.268.2025Keywords:
Digital Economy; Analytic Hierarchy Process; Topsis Comprehensive Evaluation; Linear Regression; Influencing Factors.Abstract
The digital economy has become a crucial driving force for global economic growth, which promotes the transformation and upgrading of the economic structure of various countries. Strengthening the digital economy development can not only enhance national competitiveness, but also boost technological innovation, optimize resource allocation and enhance high-quality social and economic development. Based on the analytic hierarchy process (AHP) and Topsis comprehensive evaluation, this paper constructs an evaluation model of China’s digital economy development from four dimensions, including digital infrastructure, digital industry environment, digital living environment and digital education environment. It aims to quantitatively measure the digital economy development of 31 provinces and cities from 2014 to 2023, and predicts the development trend from 2025 to 2030 through multiple linear regression models. It was found that China’s digital economy as a whole is presenting a steady upward trend, but the uneven regional development is still prominent. Based on the empirical results, this paper puts forward suggestions such as strengthening innovation, promoting industrial integration, improving infrastructure and optimizing policy coordination to drive the high-quality development of the digital economy.