Artificial Intelligence and Sustainable Aviation Manufacturing: A Perspective from Green Innovation in China
人工知能と持続可能な航空機製造：中国におけるグリーンイノベーションの視点から (AI 翻訳)
Guangfan Sun, Song Yue, Jianqiang Xiao, Daosheng Xu
🤖 gxceed AI 要約
日本語
本論文は、中国の航空機製造企業におけるAIのグリーンイノベーション促進効果を実証分析。技術促進、労働構造最適化、資金調達改善の3経路を特定し、経済発展地域や伝統的製造企業、アナリスト注目度の高い企業で効果が顕著であることを示す。
English
This study empirically examines how AI enables green innovation in Chinese aviation manufacturing firms. It identifies three channels: technological empowerment, labor structure optimization, and improved resource access. The positive effect is stronger in economically developed regions, traditional manufacturing firms, and those with high analyst attention.
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
日本の航空機製造（三菱重工、SUBARU等）にとっても、AI活用によるグリーンイノベーションはカーボンニュートラル達成の重要経路。中国の実証結果は参考になるが、政策環境や産業構造の違いに留意が必要。
In the global GX context
For the global aviation sector, this paper provides evidence that AI can drive green innovation in manufacturing, a key lever for decarbonization. While focused on China, the mechanisms (technology, labor, finance) are transferable, offering insights for hard-to-abate industries worldwide.
👥 読者別の含意
🔬研究者:Empirical evidence on AI-green innovation linkage in aviation, useful for extending to other sectors or regions.
🏢実務担当者:Highlights three operational channels where AI can be deployed to improve environmental performance in manufacturing.
🏛政策担当者:Suggests policy support for AI adoption in industrial green innovation, especially in traditional manufacturing clusters.
📄 Abstract（原文）
In the pursuit of global industrial sustainable development and carbon neutrality goals, the aviation manufacturing sector serves as a strategic pillar for advancing global economic growth, driving technological innovation and enhancing national competitiveness. Its green innovation has thus become a critical pathway to achieving carbon neutrality targets and spearheading the sustainable transformation of the industrial sector. This study investigates the enabling effect of artificial intelligence (AI) on green innovation within aviation manufacturing enterprises. The findings indicate that AI exerts a promotional impact on green innovation via three primary channels: technological empowerment, labor structure optimization and resource access improvement. Specifically, AI drives the digital transformation of operational processes in aviation manufacturing, rationalizes the human resource framework of the sector, and eases the financing pressures confronted by aviation manufacturing enterprises. A heterogeneity analysis reveals that regional resource endowments, enterprise production attribute characteristics and external market attention can form synergistic interactions with AI technology. What is more prominent is that the positive influence of AI on green innovation is especially distinct in three scenarios: in economically developed urban areas, among enterprises with traditional production attributes, and for enterprises that garner high levels of analyst attention.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18094298first seen 2026-05-17 04:54:29
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