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Spatial variation of artificial intelligence’s impact on carbon-neutral processes in China: A perspective of enterprise layouts

Author

Listed:
  • Liu, Jiao
  • Liu, Yaobin
  • Li, Shuoshuo
  • Wei, Guoen
  • Tian, Xi

Abstract

Artificial intelligence (AI) has permeated economic and social systems, with its carbon-neutral transformation catalysis becoming pivotal for global climate governance. In this study, we analyze AI’s spatial and temporal patterns by integrating data from various sources. Furthermore, the spatial Durbin model was used to uncover the spatial effects of AI on the carbon balance index (CBI) at different scales. Additionally, we aim to quantify the boundaries of this heterogeneity. The findings indicate the following: the spatial pattern of the AI in China from 2000 to 2022 reveals a distribution characterized by “more in the east and less in the west”. AI hinders CBI in China, exhibiting inhibitory effects of −0.115 and −0.019 at the provincial and city levels, respectively. However, from a geographical perspective, AI has promoted the CBI of the Northeast, Beijing-Tianjin-Hebei urban agglomerations, and the Yangtze River Delta urban agglomerations. From the standpoint of spatial proximity, the AI promoted CBI in nearby areas but had the opposite effect on the region. The findings of this study furnish both theoretical and empirical evidence on how cities of varying development scales can achieve carbon neutrality through the utilization of AI.

Suggested Citation

  • Liu, Jiao & Liu, Yaobin & Li, Shuoshuo & Wei, Guoen & Tian, Xi, 2026. "Spatial variation of artificial intelligence’s impact on carbon-neutral processes in China: A perspective of enterprise layouts," Land Use Policy, Elsevier, vol. 165(C).
    • Handle: RePEc:eee:lauspo:v:165:y:2026:i:c:s0264837726000669
    DOI: 10.1016/j.landusepol.2026.107982
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