Digital–Intelligent Technology Innovation, Urban Pollution–Carbon Synergy, and Sustainable Urban Transition in China: Mechanisms, Boundary Conditions, and Spatial Spillovers
デジタル・インテリジェント技術革新、都市汚染・炭素相乗効果、中国における持続可能な都市移行：メカニズム、境界条件、空間的波及効果 (AI 翻訳)
Yujia Liu, Ziliang Ma, Huizhen Yan, Jia Hao
🤖 gxceed AI 要約
日本語
本研究は、中国278都市のパネルデータ（2012～2023年）を用いて、デジタル・インテリジェント技術革新が都市の汚染・炭素相乗効果（二酸化炭素削減と大気汚染改善の同時達成）を促進するか検証。結果は正の関連を示し、グリーン技術革新、デジタル包摂的金融、AI企業集積が経路として機能。効果は炭素削減側でより強く、人的資本や金融技術が高い都市で顕著。空間的波及効果も確認。
English
This study uses panel data from 278 Chinese cities (2012–2023) to examine whether digital–intelligent technology innovation promotes urban pollution–carbon synergy (simultaneous CO2 reduction and air pollution improvement). Results show a positive association, with mechanisms including green technological innovation, digital inclusive finance, and AI firm agglomeration. The effect is stronger on carbon mitigation, more pronounced in cities with higher human capital and fintech, and exhibits spatial spillovers.
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
中国のデジタル化と環境政策の連携を示す事例として参考になる。日本ではデジタル田園都市国家構想やGX実現に向けたデジタル活用の議論に示唆を与えるが、中国特有の政策・産業構造に依存する部分が大きい点に留意。
In the global GX context
This paper provides empirical evidence linking digital innovation to carbon–pollution synergy, relevant for global discussions on AI-driven sustainability transitions. Its findings on threshold effects and spatial spillovers offer insights for designing digital green policies in other countries, though China's institutional context may limit direct transferability.
👥 読者別の含意
🔬研究者:Provides a comprehensive empirical framework for studying digital innovation's role in environmental synergy, with channel and heterogeneity analyses that can inform future research.
🏢実務担当者:Suggests that investing in digital–intelligent technologies, combined with green innovation and fintech, can enhance corporate sustainability performance.
🏛政策担当者:Highlights the need for targeted policies that support digital infrastructure, human capital, and fintech to maximize co-benefits of carbon and pollution reduction.
📄 Abstract（原文）
This study examines whether digital–intelligent technology innovation supports sustainable urban transition by improving urban pollution–carbon synergy in China. Using panel data for 278 prefecture-level cities from 2012 to 2023, we measure digital–intelligent technology innovation by the per capita intensity of patent applications in key digital–intelligent technology fields and construct an urban pollution–carbon synergy index based on a global non-radial directional distance function combined with data envelopment analysis. The results show that digital–intelligent technology innovation is positively associated with urban pollution–carbon synergy, and this finding remains robust to alternative variable definitions, sample adjustments, alternative frontier settings, and supplementary identification strategies. Further analyses suggest that the relationship is stage-dependent rather than purely linear, with stronger sustainability gains emerging after critical development thresholds are crossed. Channel analyses indicate that green technological innovation, digital inclusive finance, and AI firm agglomeration are important routes through which digital–intelligent innovation is translated into environmental governance capacity. Additional analyses show that the effect is stronger on the carbon mitigation dimension than on the pollution reduction dimension, is more pronounced in cities with higher human capital and more developed financial technology, and exhibits both temporal persistence and spatial spillover effects. In addition, digital–intelligent technology innovation is associated with higher energy efficiency, lower total energy consumption, and lower PM2.5, SO2, total CO2 emissions, and CO2 intensity. Overall, these findings contribute to the sustainability literature by showing that digital–intelligent innovation can facilitate sustainable urban transition when it is effectively transformed through green innovation, financial support, and local application scenarios.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/su18115486first seen 2026-06-06 05:21:18
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