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Research on the Spatiotemporal Evolution of the Coupled and Coordinated Development of Artificial Intelligence and Carbon Emission Reduction

In: Proceedings of the 2025 7th International Conference on Economic Management and Model Engineering (ICEMME 2025)

Author

Listed:
  • Ze Yang

    (Shanghai Institute of Technology)

  • Tingting Qian

    (Shanghai Institute of Technology)

Abstract

This study examines the coupling coordination between artificial intelligence and carbon emission reduction across Chinese provinces from 2016 to 2022. Using a coupling coordination degree model and K-means clustering, the research identifies significant spatial heterogeneity, which is characterized by a “high in the southeast, low in the northwest” pattern. Temporal analysis revealed a path-dependent trend, wherein provinces with high initial coordination levels consolidated their advantages, while others struggle with persistent barriers, leading to a widening of regional disparities. Four distinct provincial clusters are identified. The findings underscore the need for differentiated policies to address regional bottlenecks and promote synergistic development of artificial intelligence and carbon emission reduction, emphasizing targeted interventions for optimal technological empowerment and emission reduction.

Suggested Citation

  • Ze Yang & Tingting Qian, 2026. "Research on the Spatiotemporal Evolution of the Coupled and Coordinated Development of Artificial Intelligence and Carbon Emission Reduction," Advances in Economics, Business and Management Research, in: Touria Benazzouz & Sandeep Saxena & Hui Nee Au Yong & Nor Zafir Md Salleh (ed.), Proceedings of the 2025 7th International Conference on Economic Management and Model Engineering (ICEMME 2025), pages 192-201, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-602-9_19
    DOI: 10.2991/978-94-6239-602-9_19
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