Analysis reveals AI significantly enhances carbon emission efficiency in cities, suggesting synergy with industrialization.
Improving carbon emission efficiency (CEE) is essential for reconiling economic growth with environmental sustainability, particularly in economies undergoing rapid industrial transformation. This study investigates the role of artificial intelligence (AI) in promoting CEE. Using panel data from 280 Chinese cities (2006–2019), we assess how AI impacts emission efficiency and the synergy between intelligentization and industrialization. Results show that AI significantly enhances CEE, though the effect varies by region and city size. Mechanism analysis reveals that green innovation and energy efficiency act as key mediators. Importantly, a nonlinear synergy exists: once industrialization surpasses a threshold, AI's effect strengthens. These findings provide insights for policymakers aiming to align technological advancement with low-carbon goals, and offer guidance for other nations navigating the dual pressures of development and decarbonization.
No takes yet. Share an insight, caveat, or question.
Zhang et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: