ArticleiScience2026
AI policy instrument and urban carbon emission intensity: Spatial analysis of Chinese cities.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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7 authors.
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Abstract
Artificial intelligence (AI) can enhance efficiency and reduce emissions, yet also intensifies energy demand through computation and infrastructure. This paradox raises a key question: whether AI policy instrument can reduce urban carbon emission intensity (CI)? Using the quasi-natural experiment of "National New Generation Artificial Intelligence Innovation Development Pilot Zone" (AIPZ), this paper investigates the policy's local and spillover impacts on urban CI. Results show that AIPZ reduces CI in pilot cities and neighboring regions. Mechanism analysis reveals that the improvements in labor productivity and green technology innovation serve as main mitigation pathways across local and neighboring areas, while rising computing power demand increases emissions. Energy efficiency gains, though effective in reducing local CI, generate no significant spatial spillovers. Together, the mitigation effects dominate, yielding a net carbon-mitigating outcome especially in eastern, resource-based, and high digital-infrastructure cities. These findings offer insights for fostering AI development via coordinated regional strategies.
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