Green innovation optimization for climate change ESG business readiness: role of generative AI in BRICS countries

  • Noman Arshed
  • , Yassine Bakkar*
  • , Marco De Sisto
  • , Mubbasher Munir
  • , Shajara Ul-Durar
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Climate change introduces new challenges for businesses which require them to find ways to be resilient. Green innovations contribute to boost Environmental, Social, and Governance (ESG)-readiness leading to just transition without optimization. This study estimates the nonlinear effect of environmental innovation in ESG-readiness against climate change while allowing for the moderating role of citations from regenerative AI-research. We use BRICS countries to conduct the analyses with a machine learning based Panel-QARDL. We find that green innovations trace an inverted U-shaped effect and generative AI shifts this relationship upwards. Findings highlight the role of regenerative AI in boosting green innovation performance.

Original languageEnglish
Number of pages18
JournalEuropean Financial Management
Early online date18 Sept 2025
DOIs
Publication statusEarly online date - 18 Sept 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • AI adoption
  • green technology
  • innovation management
  • machine Learning
  • panel quantile ARDL

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