中国における人工知能技術革新と炭素不平等：空間的スピルオーバーの視点からの証拠
Artificial Intelligence Technology Innovation and Carbon Inequality in China: Evidence from a Spatial Spillover Perspective (原題)
Mingyang You, Xiaohui He, Xinyu Pu, Zixuan Li, Xiucheng Dong
🤖 gxceed AI 要約
日本語
本研究は、中国286都市の2011〜2021年のパネルデータを用いて、AI技術革新（AITI）と炭素不平等の関係を空間的スピルオーバーの観点から分析。AITIは炭素不平等を有意に低下させ、空間的波及効果も確認。所得平等化、環境規制、産業構造の最適化が媒介要因であり、地域差も顕著。
English
Using panel data from 286 Chinese cities (2011-2021), this study examines the spatial spillover effects of AI technology innovation (AITI) on carbon inequality. Findings show AITI significantly reduces carbon inequality and has spatial spillovers, with income equalization, environmental regulation, and industrial structure as channels, and notable regional heterogeneity.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のGX政策では、AI技術を活用した地域間格差是正や公正な移行（ジャスト・トランジション）の議論に示唆を与える。SSBJ開示やカーボンプライシング導入に際し、技術革新の地域波及効果を考慮した政策設計の重要性を示す。
In the global GX context
This study contributes to global discussions on just transition and the role of AI in climate policy. It provides empirical evidence on how technological innovation can reduce carbon inequality, relevant for countries designing equitable decarbonization strategies and aligning with ISSB disclosure requirements on social aspects.
👥 読者別の含意
🔬研究者:Provides empirical evidence on AI innovation's spatial effects on carbon inequality, useful for further research on technology and equity.
🏢実務担当者:Highlights potential for AI-driven solutions to address regional disparities in carbon emissions, informing corporate sustainability strategies.
🏛政策担当者:Offers insights for designing policies that leverage AI to promote equitable low-carbon transitions, considering regional heterogeneity.
📄 Abstract（原文）
Under the backdrop of climate change, China’s pursuit of its “dual carbon” goals confronts the pressing issue of carbon inequality. Using 3146 city–year observations from 286 Chinese cities between 2011 and 2021, this study investigates the relationship between artificial intelligence technology innovation (AITI) and carbon inequality, with particular attention to their spatial associations. A 0–1 geographical contiguity matrix is employed to characterize spatial linkages among cities. The findings reveal that: (1) AITI is significantly associated with lower levels of carbon inequality across cities and exhibits significant spatial spillover effects; (2) the relationship between AITI and carbon inequality is also associated with income equalization, environmental regulation, and industrial structure optimization; and (3) the influence of AITI on carbon inequality varies across regions, with more pronounced negative associations observed in central and western cities, while the total effect in northeastern China is significantly positive. These results provide both theoretical contributions and practical policy implications for understanding the role of technological innovation in advancing equitable carbon mitigation and fostering an inclusive low–carbon transition.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18178958first seen 2026-09-04 05:08:29
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