Artificial Intelligence Capability and Corporate Green Innovation: The Role of Knowledge Fusion and Technology Cooperation

This paper examines the relationship between firms’ artificial intelligence (AI) capability and corporate green innovation and the potential channels underlying this relationship. Using a firm-year panel of Chinese A-share firms listed on the Shanghai and Shenzhen main boards from 2002 to 2024, we find that stronger AI capability is positively associated with green innovation output, citation-based green innovation impact, and green technological knowledge breadth. Further mechanism analyses provide evidence consistent with knowledge fusion and formal technology cooperation as two potential channels. Specifically, stronger AI capability predicts greater technological overlap between firms’ AI and green patent portfolios and broader formal green technology cooperation in the subsequent year, including inter-firm cooperation and industry–university–research collaboration. Overall, the findings suggest that AI capability may help shape the knowledge generation and collaborative development processes of green innovation, potentially contributing to greater green innovation output, impact, and knowledge breadth.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2026-10-15
DOI
https://doi.org/10.3390/su182010499
Primary Topic
Environmental Sustainability in Business
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence Capability and Corporate Green Innovation: The Role of Knowledge Fusion and Technology Cooperation

Ruiyi Cao, Minggao Xue
Sustainability
Environmental Sustainability in Business
article

Artificial Intelligence Capability and Corporate Green Innovation: The Role of Knowledge Fusion and Technology Cooperation

Ruiyi Cao, Minggao Xue
article en

Abstract

This paper examines the relationship between firms’ artificial intelligence (AI) capability and corporate green innovation and the potential channels underlying this relationship. Using a firm-year panel of Chinese A-share firms listed on the Shanghai and Shenzhen main boards from 2002 to 2024, we find that stronger AI capability is positively associated with green innovation output, citation-based green innovation impact, and green technological knowledge breadth. Further mechanism analyses provide evidence consistent with knowledge fusion and formal technology cooperation as two potential channels. Specifically, stronger AI capability predicts greater technological overlap between firms’ AI and green patent portfolios and broader formal green technology cooperation in the subsequent year, including inter-firm cooperation and industry–university–research collaboration. Overall, the findings suggest that AI capability may help shape the knowledge generation and collaborative development processes of green innovation, potentially contributing to greater green innovation output, impact, and knowledge breadth.

SustainabilityVol. 18(20)
Huazhong University of Science and Technology (CN)
Industry, innovation and infrastructure, Climate action
Openalex Percentile: Top 6%
Environmental Sustainability in Business
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.