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Can Artificial Intelligence Pave a Greener Path for China? Exploring the Synergistic Effects of Intelligentization and Industrialization on Carbon Emission Efficiency

Author

Listed:
  • Lingran Zhang
  • Bo Chen
  • Yaxin Jiao
  • Zequn Dong

Abstract

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.

Suggested Citation

  • Lingran Zhang & Bo Chen & Yaxin Jiao & Zequn Dong, 2026. "Can Artificial Intelligence Pave a Greener Path for China? Exploring the Synergistic Effects of Intelligentization and Industrialization on Carbon Emission Efficiency," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 62(5), pages 1476-1499, April.
    • Handle: RePEc:mes:emfitr:v:62:y:2026:i:5:p:1476-1499
    DOI: 10.1080/1540496X.2025.2559936
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