A Study on Digital Economic Development Levels Based on the Topsis Comprehensive Evaluation Method: A Case Study of the North China Region

Ailin Gu

doi:10.54097/rx342r37

Authors

Ailin Gu

DOI:

https://doi.org/10.54097/rx342r37

Keywords:

Digital Economy; AHP; TOPSIS Comprehensive Evaluation Method; Linear Regression; North China Region.

Abstract

In the global process of digital transformation, the development of the digital economy is an essential pathway to drive industrial upgrading and enhance comprehensive competitiveness. This study focuses on the North China region, first constructing an evaluation model for the level of digital economic development, which includes 21 indicators across three tiers. Subsequently, the Analytic Hierarchy Process (AHP) is employed to assign weights to the evaluation indicators of digital economic development. Following this, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) comprehensive evaluation method is utilized to measure and comparatively analyze the digital economic development scores of provinces and municipalities within the North China region. Finally, linear regression analysis, based on data from 2013 to 2023, is used to forecast the digital economic development status of the North China region from 2024 to 2034. The study concludes that Hebei Province and Beijing consistently rank in the top two positions, while the Inner Mongolia Autonomous Region and Tianjin currently occupy the bottom two positions. However, Tianjin is projected to improve and surpass the Inner Mongolia Autonomous Region, securing the fourth position in the future, indicating a favorable development trend. The study ultimately proposes that the North China region should deepen industrial upgrading and strengthen infrastructure, contributing to the discourse on digital economic development.

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