KOREAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE AND LAW

KAAIL · AI LAW & POLICY RESEARCH

The Adoption of Artificial Intelligence and Green Collaborative Innovation: Knowledge-Based Paths and Governance Conditions

AI summary based on the abstract: This summary is based only on the abstract, and the full text was not reviewed. Using panel data from Chinese A-share listed companies (2012~2023), the study analyzes whether corporate AI adoption promotes green collaborative innovation. AI adoption showed a significant positive relationship with jointly filed green patents (invention and utility model), and a pathway through enhanced knowledge-learning capacity and green

International ResearchCrossrefAI summary
Author

Yang Xu · Qilong Zhou · Qi Fan · Xuanming Zhang

Publication DateLanguage en

AI Research Summary

Before Human Review

Based on abstract · Full text not reviewed

This summary is based only on the abstract, and the full text was not reviewed. Using panel data from Chinese A-share listed companies (2012~2023), the study analyzes whether corporate AI adoption promotes green collaborative innovation. AI adoption showed a significant positive relationship with jointly filed green patents (invention and utility model), and a pathway through enhanced knowledge-learning capacity and green governance capacity was presented. Internal green strategy and external media exposure amplified the effect.

Key Points from the Abstract

  1. AI adoption showed a significant positive relationship with green collaborative innovation.
  2. Knowledge-learning capacity and green governance capacity were presented as mediating pathways.
  3. Green strategy, media exposure, and digital infrastructure moderated the effect.

Relevance to AI Law and Policy

It shows AI’s effect on corporate innovation together with green transition and the moderating role of governance and information environments, offering reference for policy and regulatory design.

Limitations to Consider

  • This is a summary based on the abstract, and detailed verification cannot be confirmed.
  • Because the limitations are not specified in the abstract, additional limitations cannot be identified.
  • Because the data are from Chinese A-share firms, generalization cannot be determined from the abstract alone.

Please compare with the original text before citing or using it in your assessment.

Abstract Preview
Purpose This study aims to examine whether and how firm-level artificial intelligence (AI) adoption promotes…
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Original text and source

Original Title

Artificial intelligence adoption and green collaborative innovation: knowledge-based channels and governance conditions

The Korean title on this page was translated by AI.
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Crossref
Original paperRead more in the original text