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Title: Spatio-temporal evolution analysis of the coupling and coordination of digital economy and green development based on computer intelligence analysis

Authors: Guiyun Chen

Addresses: School of Management, Changsha Medical University, Leifeng Avenue, Wangcheng District, Changsha, Hunan, 410219, China

Abstract: This paper combines computer intelligence technology to propose a spatiotemporal evolution analysis model that couples and coordinates digital economy (DE) and green development (GD), thereby providing new insights and enlightenment for the development of related fields and providing theoretical support for the transformation and high-quality development of green economy (GE). This paper combines subgroup decomposition Gini coefficient to improve the algorithm and proposes a Dagum-coupling model, and verifies the effect of the model with experiments. This paper uses the Dagum-coupling model to analyse the influencing factors of the CAD (CAD) level between DE and GD, and tests the robustness of the model. The experimental results verify that this paper uses Dagum-coupling model to analyse the CAD level of DE and GD, which has good practical effect. The strategic improvement adopted by the model proposed in this paper can promote the coordinated development of DE and GE in this region.

Keywords: intelligent analysis; digital economy; DE; green development; GD; coupling; spatio-temporal evolution.

DOI: 10.1504/IJICT.2025.146101

International Journal of Information and Communication Technology, 2025 Vol.26 No.10, pp.21 - 41

Received: 16 Jan 2025
Accepted: 07 Mar 2025
Published online: 06 May 2025 *