GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
🌍 Global📚 Peer-reviewed · JournalJournal of Accounting & Organizational Change2026#AI × ESGDOI
ESG disclosure, AI integration and organizational change for sustainability culture and climate resilience in Bangladesh: a moderated mediation model
Md Arafat Rahman, Sazzad Hossain Shaon
This study empirically investigates the role of AI in enhancing ESG disclosures in Bangladesh, using a survey of 434 respondents. It finds that AI integration significantly improves ESG reporting, fostering sustainability culture and climat…
🌍 Global📚 Peer-reviewed · JournalInternational Journal of Applied Resilience and Sustainability2026#AI × ESGDOI
Artificial intelligence in sustainable finance and Environmental, Social, and Governance (ESG) performance: A review
Vibhavari Prasad Mane
This systematic review explores how AI techniques (machine learning, NLP, predictive analytics) enhance ESG measurement, portfolio management, risk analysis, and sustainability disclosure. It also highlights challenges like data quality, al…
📚 Peer-reviewed · JournalJournal of economic surveys (Print)2026#AI × ESGDOI
Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?
Filippo di Pietro, Pilar Giráldez‐Puig, P. Palos-Sanchez +1
This study uses a systematic literature review and bibliometric analysis to examine machine learning applications in climate-related financial challenges. It finds growing AI adoption in emissions forecasting, green investment, and sustaina…
📚 Peer-reviewed · JournalInverge Journal of Social Sciences2026#AI × ESGDOI
Green Intelligence in Finance: Artificial Intelligence-Driven ESG Analytics and Sustainable Investment Performance
Hind Gatoi, Islam Belhaoua, Kashf Akhtar +3
This study examines whether AI-driven ESG analytics enhance sustainable investment performance. It finds that AI-enhanced high-ESG portfolios achieve higher returns and lower downside risk compared to traditional ESG portfolios. AI-derived …
🌍 Global📚 Peer-reviewed · JournalSocial Science Research Network2026#AI × ESGDOI
Global AI -ESG Fixers-future Implementors and Partnership Sustainable Governance Doers Equally Challenged: Matrices, Planetary Boundaries, and Tokenomic Self Sufficiency Resilience
H. Akula
This paper proposes a novel climate governance framework integrating AI, remote sensing, and trade policy. Using the EU's CBAM as a case, it argues for a universal treaty-based architecture to mitigate adverse impacts on developing countrie…
📚 Peer-reviewed · JournalSustainability2026#AI × ESGDOI
Pathways to Green AI: Information Disclosure of Artificial Intelligence Within the ESG Framework of Commercial Entities
Junkai Chen
This study analyzes AI information disclosure in ESG reports of listed companies in the US, Europe, and China. It finds that ESG reports are the primary channel, with significant disparities across AI domains (development, application, manu…
📚 Peer-reviewed · JournalMachine Learning and Knowledge Extraction2026#AI × ESGDOI
Enhancing the Extraction of GHG Emission-Reduction Targets from Sustainability Reports Using Vision Language Models
Lars Wilhelmi, Christian Bruns, Matthias Schumann
This study investigates the use of Vision Language Models (VLMs) to extract ESG metrics, particularly GHG emission-reduction targets, from corporate sustainability reports. Using Design Science Research Methodology, we developed an extracti…
PreprintZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
Sustainalyze: AI Powered Transperancy in ESG Reporting
Kunj Modh, Varun Patel, Vivek Devani
This paper presents ESG Analytics, an AI platform for automated analysis of ESG reports. It uses a Retrieval-Augmented Generation (RAG) approach to extract ESG metrics from text and tables, integrating FinBERT-ESG for classification, Chroma…
PreprintSustainability2025#AI × ESGDOI
Smart Money, Greener Future: AI-Enhanced English Financial Text Processing for ESG Investment Decisions
Junying Fan, Daojuan Wang, Yuhua Zheng
This paper proposes FinATG, an AI-driven framework for extracting sustainability-related financial information from English texts to support ESG investment decisions in emerging markets. It achieves entity F1 of 88.5 and REL F1 of 80.2 on s…