Artificial Intelligence and Sustainable Aviation Manufacturing: A Perspective from Green Innovation in China

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.

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Journal
Sustainability
Published
2026-04-26
DOI
https://doi.org/10.3390/su18094298
Primary Topic
Energy, Environment, Economic Growth
Type
article
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0.00
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article

Artificial Intelligence and Sustainable Aviation Manufacturing: A Perspective from Green Innovation in China

Guangfan Sun, Jianqiang Xiao, Daosheng Xu, Song Yue
Sustainability
Energy, Environment, Economic Growth
article

Artificial Intelligence and Sustainable Aviation Manufacturing: A Perspective from Green Innovation in China

Guangfan Sun, Jianqiang Xiao, Daosheng Xu, Song Yue
article en

Abstract

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.

SustainabilityVol. 18(9)
Development Research Center (CN), Renmin University of China (CN), Fuzhou University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Energy, Environment, Economic Growth
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Artificial Intelligence and Sustainable Aviation Manufacturing: A Perspective from Green Innovation in China — Guangfan Sun, Jianqiang Xiao, et al. · Sustainability (2026) | TGRS Research Map | TGRS