Research on the Spatiotemporal Evolution and Influencing Factors of Coupling Coordination Degree between Artificial Intelligence and Digital Economy Development: Based on Grey Relational Analysis

DOI

10.2991/978-94-6239-642-5_121How to use a DOI?

Keywords

Artificial Intelligence; Digital Economy; Coupling Coordination Degree; Grey Relational Analysis

Abstract

Using provincial panel data from China (2011–2023), this study integrates the Coupling Coordination Degree (CCD) model and Grey Relational Analysis to evaluate the synergistic development between Artificial Intelligence and the Digital Economy, analyzing its spatiotemporal evolution patterns and influencing factors. Results show that the CCD improved from “disorder” to “coordination,” though this progression was significantly disrupted by the COVID-19 pandemic, displaying non-linear dynamics. Spatially, the “high in the east, low in the west” gradient pattern has intensified, with the eastern region demonstrating greater resilience. In terms of influencing factors, urbanization serves as a common foundation, but core drivers vary regionally: the east relies on network infrastructure, the center requires enhanced human capital, and the west faces dual constraints in both human capital and infrastructure. These findings provide a basis for formulating differentiated regional coordination policies.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Qun Liu
PY  - 2026
DA  - 2026/04/29
TI  - Research on the Spatiotemporal Evolution and Influencing Factors of Coupling Coordination Degree between Artificial Intelligence and Digital Economy Development: Based on Grey Relational Analysis
BT  - Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026)
PB  - Atlantis Press
SP  - 1153
EP  - 1163
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-642-5_121
DO  - 10.2991/978-94-6239-642-5_121
ID  - Liu2026
ER  -