The influence of the coupling and coordination between artificial intelligence and digital government construction on green economic efficiency

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge Pub Date : 2025-10-08 DOI:10.1016/j.jik.2025.100831

Fang Xiong , Yili Chen , Shuhong Gu , Xue Li

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引用次数: 0

Abstract

This study analyzes cross-sectional time-series data of 276 prefecture-level Chinese cities for the period 2012–2022. It employs the coupling coordination degree, dynamic spatial models, and threshold models to investigate the coupled and coordinated development (CCD) level between artificial intelligence (AI) and digital government construction (DGC), further, it examines the AI–DGC CCD’s impact on green economic efficiency (GEE). This study reveals that a coupling and coordination mechanism exists between AI and DGC. The AI–DGC CCD enhances local GEE by facilitating industrial structure upgrading and ecosystem resilience, while exerting a nonlinear inverted U-shaped spatial spillover effect on neighboring regions, as confirmed by multiple robustness tests. Heterogeneity analysis demonstrates that the AI–DGC CCD’s impact on GEE is more pronounced in non-resource-dependent cities, as well as those with high levels of digital economy, stringent environmental regulations, and robust intellectual-property protection. Additionally, the AI–DGC CCD’s influence on GEE exhibits a threshold effect based on public environmental concern.

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人工智能与数字政府建设的耦合协调对绿色经济效率的影响

本研究分析了2012-2022年中国276个地级市的横断面时间序列数据。运用耦合协调度、动态空间模型和阈值模型考察人工智能（AI）与数字政府建设（DGC）耦合协调发展（CCD）水平，进而考察AI - DGC CCD对绿色经济效率（GEE）的影响。本研究揭示了AI与DGC之间存在着一种耦合协调机制。多项稳健性检验证实，AI-DGC CCD通过促进产业结构升级和生态系统复原力提升当地生态环境承载力，同时对周边区域产生非线性倒u型空间溢出效应。异质性分析表明，在非资源依赖型城市，以及数字经济水平高、环境监管严格、知识产权保护力度大的城市，AI-DGC CCD对环境绩效的影响更为显著。此外，AI-DGC CCD对GEE的影响表现出基于公众环境关注的阈值效应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Innovation & Knowledge Multiple-

CiteScore

16.10

自引率

12.70%

发文量

118

审稿时长

37 days

期刊介绍： The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.