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Artificial intelligence and green transformation in coordination development: Evidence from Chinese manufacturing for achieving SDGs
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DOI：10.1007/s10668-026-08050-5.png)
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Abstract
En 中文
Establishing a low-carbon sustainable manufacturing system necessitates a profound understanding of how emerging digital technologies reshape pathways to green production. Despite artificial intelligence (AI) demonstrating formidable transformative potential, systematic evidence remains scarce regarding its interactive relationship with the green transition in manufacturing—particularly concerning nonlinear coupling development patterns and their spatially heterogeneous driving mechanisms.Based on China’s provincial-level balanced panel data from 2011 to 2023, this study constructs a Coupling Coordination Degree (CCD) analytical framework. Integrating Dagum Gini decomposition, kernel density estimation, Markov chains, and geographic detectors, it systematically characterises CCD’s spatiotemporal evolution and its driving mechanisms.Findings reveal: CCD has continuously improved, with spatial agglomeration effects intensifying; National disparities show an overall convergence trend, yet inter-regional differentiation remains the primary source of imbalance.Spatial Markov chains reveal pronounced neighbourhood effects: high-level regions catalyse surrounding areas’ advancement, while low-level neighbours tend to induce development lock-in. Economic growth, population agglomeration, and urbanisation constitute core drivers of CCD enhancement; these factors exhibit stronger synergistic amplification through mutual interactions. More importantly, the spatial coupling mechanisms uncovered in this study not only expand systematic understanding of AI-enabled green industrial transformation but also provide universally applicable and transferable insights for developing nations worldwide. These insights support the construction of intelligent, green manufacturing systems at urban and regional scales, thereby advancing the achievement of the Sustainable Development Goals (SDGs).
Keywords:
AI
Green transformation
Spacetime Evolution
Sustainable development
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