AI起業が炭素排出に与える影響メカニズム
The Influence Mechanism of AI Entrepreneurship on Carbon Emissions (原題)
Yuanyang Guo, Liqi Xu, Miaoxi Gu
🤖 gxceed AI 要約
日本語
2008〜2023年の中国都市パネルデータを用いて、AI起業が炭素排出強度に与える影響を実証分析。逆U字型の非線形関係を発見し、初期段階では排出増加、閾値以降は削減に寄与することを示した。デジタル技術革新は初期の排出増加を強め、科学技術財政支出は後期の削減を支援する。工業化の高い都市で効果が顕著。
English
Using panel data from Chinese cities (2008-2023), this study empirically examines how AI entrepreneurship affects carbon emission intensity. It finds an inverted U-shaped relationship: early expansion increases emissions, but after a threshold, AI entrepreneurship contributes to reduction. Digital technology innovation amplifies early emissions, while fiscal R&D spending supports later reduction. Effects are stronger in highly industrialized cities.
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・デジタル技術の活用と脱炭素の両立が課題。本研究成果は、AI起業の段階に応じた政策支援の重要性を示唆し、日本におけるデジタル経済とカーボンニュートラルの調和策に示唆を与える。
In the global GX context
This study contributes to global discourse on AI's environmental impact, offering empirical evidence from China. It highlights the nonlinear relationship between AI entrepreneurship and emissions, relevant for policymakers balancing digital innovation with climate goals under frameworks like TCFD and ISSB.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the nonlinear impact of AI entrepreneurship on carbon emissions, useful for further research on AI and sustainability.
🏢実務担当者:Highlights the importance of timing and policy support in AI-driven business strategies for carbon reduction.
🏛政策担当者:Suggests that policies promoting AI entrepreneurship should consider development stages to avoid early-stage emission increases.
📄 Abstract（原文）
Artificial intelligence entrepreneurship has increasingly become an important part of urban innovation in the digital economy. At the same time, reducing carbon emissions remains a central issue for sustainable development and carbon neutrality. Using panel data from Chinese cities from 2008 to 2023, this study investigates how AI entrepreneurship influences carbon emission intensity and through which mechanisms this influence occurs. The empirical results reveal a nonlinear inverted U-shaped relationship. At the early stage, the expansion of AI entrepreneurship tends to increase carbon emissions, while after a certain development threshold is reached, AI entrepreneurship begins to contribute to emission reduction. Further mechanism tests show that digital technology innovation strengthens the positive effect on emissions in the early stage because it is associated with higher energy demand. In contrast, fiscal expenditure on science and technology helps reduce emissions in the later stage by supporting green technology development and industrial upgrading. The heterogeneity analysis indicates that this nonlinear effect is more evident in cities with higher levels of industrialization. This study provides city-level evidence for understanding the environmental consequences of AI entrepreneurship and offers policy implications for coordinating digital entrepreneurship with low-carbon development.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5539/jsd.v19n5p89first seen 2026-08-19 04:46:14
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。