Impact of AI on High-Quality Development Based on Entropy Method and Coupling Coordination Degree Model —Taking Guangdong Province as an Example
Wen Lv ()
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Wen Lv: University of International Relations, School of Economics and Finance
A chapter in Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026), 2026, pp 776-785 from Springer
Abstract:
Abstract This study focuses on Guangdong Province to investigate the level of high-quality development before and after the impact of AI. Using the entropy method and coupling coordination degree model, this study conducts indicator evaluation and analysis on selected high-quality development data of Guangdong Province from 2019 to 2023, thereby better exploring the relationship between AI technology and high-quality development. The study found through analysis that: 1) Guangdong’s overall high-quality development level before and after the impact of AI showed a V-shaped recovery and upward trend, indicating that AI technology empowerment and policy dividends are the key driving forces for this trend; 2) The study of the three subsystems revealed that the economic development score accelerated after 2020, while the social stability and environmental sustainability subsystems showed a trend of first declining and then rising, indicating the empowering value of AI in industrial upgrading, people’s livelihood services, and environmental governance; 3) Coupling and coordination analysis showed that the system as a whole shifted from the disordered stage before the impact of AI to the coordinated stage after the impact of AI, and reached a high-quality coordination level under the influence of AI, reflecting that the subsystems were greatly affected by AI and showed a positive influence from the AI.
Keywords: High-quality development; AI; Entropy method; Coupling coordination degree model (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-642-5_79
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DOI: 10.2991/978-94-6239-642-5_79
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