Evolution of Coupling Coordination Between Artificial Intelligence and High-Quality Energy Development: Evidence from China

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:AIとエネルギー転換の双方向関係を定量化する方法論と中国の実証結果を参照。

🏢実務担当者:地域別のAI・エネルギー投資戦略の策定に示唆。

🏛政策担当者:デジタルとエネルギー政策の連携強化と地域格差是正の必要性を示す。

The coordinated development of artificial intelligence (AI) and high-quality energy development (HED) is essential for advancing digital transformation and energy transition. However, existing research primarily explores the unidirectional impact of AI on HED, neglecting their bidirectional relationship. Drawing on provincial data from China during 2012–2022, this study examines the coupling coordination between AI and HED (AHCC) and its spatiotemporal differentiation and driving factors. Results show that although both AI and HED advanced steadily, AI started from a lower base and remained below HED, and their spatial distributions were mismatched. The national average AHCC improved from mild imbalance to marginal imbalance, but large regional disparities persisted. Only several provinces—six in the east and two in the west—entered coordination stages, with most remaining in imbalance. Intensifying spatial autocorrelation of AHCC indicates that strong or weak regions are increasingly locked into self-reinforcing trajectories, making balanced regional development difficult. Regression results indicate that technological innovation, economic development level, and industrial structure upgrading significantly promote AHCC, whereas environmental regulation, urbanization level, and government intervention inhibit it. These effects exhibit pronounced spatiotemporal heterogeneity. This study enriches the theoretical understanding of AHCC and provides empirical evidence to inform coordinated digital and energy transition policies.

• openalex https://doi.org/10.3390/systems14080944first seen 2026-08-06 05:06:41