Quantitative Research on the Influence Mechanism of Digital Transformation of Universities on Regional Economic Competitiveness Based on Multivariate Statistical Analysis

Authors

  • Yan Hong Division of Development and Planning, Xi'an Medical University, Xi'an 710021, Shaanxi, China

DOI:

https://doi.org/10.70917/ijcisim-2026-0030

Keywords:

digital maturity of universities; regional economic competitiveness; spatial Durbin model; fixed effects model

Abstract

Aiming at the problems of insufficient systematic assessment system of digital maturity of colleges and universities and in-depth exploration of regional impact heterogeneity in existing research, this paper constructs a maturity assessment model containing three dimensions of digital strategy, digital technology, and digital capability. Based on the panel data of 25 provinces in China from 2015 to 2024, the hierarchical analysis method is used to determine the weights of the indicators. Combining the spatial Durbin model and the fixed-effects model, the path of the influence of the digital maturity of colleges and universities on the competitiveness of the regional economy and the characteristics of regional heterogeneity are systematically revealed. The overall digital maturity of colleges and universities is at the medium-high level (the mean value is 0.61), close to the governance level, but the differences between regions are significant. The EDM coefficient of the western region reaches 10.389 (t=2.753, 1% significant), far exceeding that of other regions, while the eastern region focuses on synergistic effects with industrial upgrading, the central region focuses on optimization of resource allocation, and the northeastern region is limited by traditional path dependence.

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Published

2026-01-29

How to Cite

Yan Hong. (2026). Quantitative Research on the Influence Mechanism of Digital Transformation of Universities on Regional Economic Competitiveness Based on Multivariate Statistical Analysis. International Journal of Computer Information Systems and Industrial Management Applications, 18, 13. https://doi.org/10.70917/ijcisim-2026-0030

Issue

Section

Original Articles