<scp>AI</scp> as a Sustainability Capability for Advancing <scp>SDG</scp> 7 and <scp>SDG</scp> 9: Evidence From Energy Technology Innovation in Chinese Listed Enterprises
AIによるサステナビリティ能力がSDG7・9を促進：中国上場企業のエネルギー技術革新からのエビデンス (AI 翻訳)
Fengsheng Chien, Muhammad Sadiq, Atif Aziz, Jamshid Pardaev
🤖 gxceed AI 要約
日本語
本論文は、中国の低炭素移行の文脈において、AIがSDG7（エネルギー）およびSDG9（産業・インフラ）達成を促進するサステナビリティ能力として機能するかを検証。2007～2022年の上場企業パネルデータ分析の結果、AI能力の高い企業ほどエネルギー技術革新（ETI）が有意に多いことが示された。特に低炭素戦略を公約する企業や資源集約的地域の企業で効果が強く、AIが環境複雑性の解釈と移行圧力の革新転換を支援することを示唆する。
English
This study examines whether AI acts as a sustainability capability to accelerate progress toward SDG 7 (clean energy) and SDG 9 (industry/innovation) in China's low-carbon transition. Using panel data from listed enterprises (2007-2022), it finds that firms with higher AI capability engage in significantly more energy technology innovation (ETI). The effect is stronger for firms with low-carbon commitments and those in resource-intensive regions facing higher transition pressure, suggesting AI helps convert complexity into innovation.
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
日本企業にとっても、AIを活用したエネルギー技術革新はGX実現の鍵となる。本研究成果は、SSBJ対応や統合報告書での非財務情報開示において、AI投資の効果を定量的に示すエビデンスとして活用可能。中国事例ではあるが、資源集約型地域や低炭素戦略を掲げる企業での効果の大きさは、日本の製造業やエネルギー多消費産業への示唆に富む。
In the global GX context
This paper provides empirical evidence that AI capability drives energy technology innovation in an emerging economy context, reinforcing the global discourse on digitalization as a lever for low-carbon transition. It complements TCFD/ISSB narratives by showing how AI can enhance corporate capacity to translate transition pressures into tangible innovation outcomes. The findings are especially relevant for firms in resource-intensive sectors and for policymakers designing green innovation incentives.
👥 読者別の含意
🔬研究者:Provides rigorous panel evidence on AI-ETI link, useful for scholars of sustainability governance and digital transformation.
🏢実務担当者:Demonstrates that investing in AI capability can accelerate energy technology innovation, supporting corporate low-carbon strategy.
🏛政策担当者:Suggests policies promoting AI adoption in resource-intensive regions can enhance innovation for SDG 7 and 9.
📄 Abstract（原文）
ABSTRACT This study examines whether artificial intelligence (AI) functions as a sustainability capability that accelerates progress toward SDG 7 (affordable and clean energy) and SDG 9 (industry, innovation and infrastructure) in the context of China's low‐carbon transition. Using a panel of listed enterprises from 2007 to 2022, the findings show that firms with higher AI capability undertake significantly more energy technology innovation (ETI). This relationship remains robust under alternative model specifications and lag structures. Moreover, the effect of AI is stronger for firms that publicly commit to low‐carbon strategies and those located in resource‐intensive regions facing higher transition pressure. These results indicate that AI strengthens corporate capacity to interpret environmental complexity and convert transition pressures into innovation outcomes. The study contributes to sustainability governance research by demonstrating how digital intelligence can support enterprise‐level advancement of SDG‐aligned energy innovation in emerging economy settings.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/sd.71402first seen 2026-07-04 05:03:51
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