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May 1, 2026Sustainability4 citationsOpen Access

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

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GSGuangfan SunSYSong YueJXJianqiang Xiao

Key Points

  • This research aims to explore how artificial intelligence facilitates green innovation in aviation manufacturing enterprises.
  • Investigated the effects of AI on green innovation through qualitative analysis of operational processes.
  • Conducted heterogeneity analysis to assess variations based on regional and enterprise-specific factors.
  • Analyzed three primary channels through which AI promotes green innovation: technological empowerment, labor structure optimization, and resource access.
  • AI significantly enhances green innovation by driving digital transformation in operational processes.
  • Positive effects of AI are more pronounced in developed urban areas, traditional enterprises, and those with higher analyst attention.
  • AI helps alleviate financing pressures, improving resource access for aviation manufacturing enterprises.

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.

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Cite This Study

Sun et al. (2026) studied this question.

synapsesocial.com/papers/69f44390967e944ac5566c83https://doi.org/10.3390/su18094298
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