GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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.
Peer-reviewedJournalNLDIMSR Innovision Journal of Management Research2026#AI × ESGDOI
Artificial Intelligence for Carbon Accounting, Emissions Monitoring, and Corporate Climate Accountability: Enhancing Transparency, Accuracy, and Sustainability through Intelligent Systems
Neelam Gupta, Smita Goswami
This chapter reviews how AI—machine learning, NLP, computer vision, and blockchain—can address limitations in carbon accounting, emissions auditing, and corporate climate accountability. It argues AI enables >90% prediction accuracy, sub-ho…
🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
Code and data for: Reading Sustainability Reports as Pages, Not Text: visual retrieval and VLM extraction of GHG metrics
Afonso Henrique Torres Lucas, Julianne Oliveira, ROBERTO HIGINO PEREIRA DA SILVA
Open code and outputs for an experiment that treats sustainability report pages as images: ColQwen2.5 multi-vector embeddings in Qdrant retrieve pages, and a vision-language model extracts Scope 1, 2 (market- and location-based) and 3 emiss…
Peer-reviewedJournal2026#AI × ESGDOI
AI and the Future of Sustainability Disclosures: A Systematic Desk Review Preparedness of Public Universities for Mandatory Non-Financial Reporting by 2028
Jeremiah Osida Onunga, Jared Okello
This systematic desk review (PRISMA-guided) examines how AI can support measurement, verification, and reporting of sustainability indicators in Kenyan public universities as mandatory non-financial reporting (e.g., IPSASB SRS1) approaches …
Peer-reviewedJournalFrontiers in Sustainability2026#AI × ESGDOI
Signaling ESG disclosure readiness before listing: text-mining evidence from Indian IPO prospectuses
Vattappoyil Safas, Mohsin Khan
Using Sentence-BERT and an ESG taxonomy, this study analyzes ESG language in 310 Indian mainboard IPO prospectuses. ESG sentences average 11.4% of text, with governance dominating at 75.5% while social and environmental disclosure remain li…
Peer-reviewedJournalInternational Journal of Accounting Information Systems2026#AI × ESGDOI
A new way to analyze ESG reports: A theme based model supported by AI
Lauri Kokkinen
This paper proposes a new theme-based model, supported by AI, for analyzing ESG reports. It aims to extract and structure key themes from corporate ESG disclosures for comparable evaluation. By automating qualitative and quantitative analys…
Peer-reviewedJournal#AI × ESG
Automated Product Carbon Footprint Estimation via Low-Latency Neural Language Processing in Multilingual, Real-Time Supply Chains.
(著者不明)
This work presents automated product carbon footprint (PCF) estimation using low-latency neural language processing across multilingual, real-time supply chains. It applies NLP to supplier text data to automate and accelerate per-product em…
Peer-reviewed🌍 GlobalJournalFuture Business Journal2026#AI × ESGDOI
ESG disclosure, audit quality, and corporate performance: an analysis through a machine learning approach
Papan Hao, Madiha Afzal, Nimra Riaz +2
Using a balanced panel of 71 non-financial Pakistan Stock Exchange firms (2015–2024, 710 firm-years), this study examines how ESG disclosure affects corporate performance (ROA/ROE) and how audit quality moderates it. Combining System GMM wi…
Peer-reviewedJournalEnergy2026#AI × ESGDOI
PREDICTING ENERGY EFFICIENCY AND CARBON FOOTPRINT IN LIVESTOCK FARMS USING ARTIFICIAL NEURAL NETWORKS: A CASE STUDY IN TURKEY
Umut Kılıç, İlker Kılıç
A case study applying artificial neural networks to predict energy efficiency and carbon footprint on livestock farms in Turkey. It demonstrates how machine learning can estimate farm-level emissions and environmental performance in the agr…
PreprintPreprints.org2026#AI × ESGDOI
What the Retriever Cannot See: Quantifying the Visual Representation Gap in ESG-Report Retrieval
Ivan Gentile, Motaz Saad, Kianna Kazemi +1
Standard PDF-to-Markdown pipelines silently discard embedded figures, creating a representation gap in RAG. Across 274 ESG reports, 21.7% of 48,896 images are data-bearing yet invisible to text-only retrieval. A vision-language augmentation…
Peer-reviewedJournalInternational Journal for Research Trends in Social Science & Humanities.2026#AI × ESGDOI
Green Innovation For A Resilient Future: Technology And Digital Solutions For Climate Action
P. Ravichandran, Dr. P. Satheesh Kumar
This paper examines how digital solutions—AI, IoT, blockchain, cloud, and digital twins—integrate with renewable energy, sustainable agriculture, smart transport, and green finance to accelerate climate action. Using a mixed-methods approac…
Peer-reviewed🌍 GlobalJournalSustainability2026#AI × ESGDOI
Reconstructing and Benchmarking ESG Scores Using a Two-Stage Entropy-Weighted Grey Relational Analysis (ESG-MCDM) Framework: Evidence from the Construction Materials Sector, 2019–2024
Yasin ŞEKER, Nevzat GÜNGÖR, İlker Sakınç +4
Reconstructs ESG scores for 50 construction-materials firms (2019–2024) from ten LSEG category scores using entropy weighting and Grey Relational Analysis. High rank correlations (0.94–0.97) but limited numerical agreement (MAE 7.5–8.7) rev…
🌍 GlobalDatasetZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
The Impact of Green Intelligence to ESG Scores in the ASEAN Banking Sector (2020-2024)
Michelle Raine Senyadji, Aiko Mazella Sutanto, Athalia Devi Nyanaviro +2
This study examines how 'green intelligence' affects ESG scores in the ASEAN banking sector over 2020-2024. It empirically links green AI/digital capabilities to ESG ratings in banking. No abstract is available, so methods, data, and findin…
🌍 GlobalJournal2026#AI × ESGDOI
Carbon Footprint Impact on Food Logistics by AI-Based Quality Monitoring in Biogas Projects in Tanzanian Universities
Thompson Xavier Ananth, Shashi Kant, Mohit Verma +1
This chapter explores how AI and IoT can transform sustainable food logistics and circular bioenergy at Tanzanian universities. It proposes a conceptual AI–IoT framework integrating real-time monitoring, waste collection, biomass valorisati…
Peer-reviewed🇺🇸 USAJournalJournal of Cleaner Production2024#AI × ESGDOI
Using neural networks to forecast marginal emissions factors: A CAISO case study
Mayes S.
This paper applies neural networks to forecast marginal emissions factors (MEFs) in the CAISO grid. MEFs capture the CO2 impact of incremental electricity consumption, underpinning hourly Scope 2 accounting and 24/7 carbon-free energy procu…
Peer-reviewedJournalJournal of Environmental Science2026#AI × ESGDOI
The Global Research Landscape of Corporate Governance and Sustainability Reporting: A Hybrid Bibliometric and Latent Dirichlet Allocation (LDA) Topic Modeling Analysis
Ayman Mohamed Ibrahim Aldosoky, Mamdouh Abdel Aziz Refai, Mihamed maged khashba +1
A hybrid bibliometric and LDA topic-modeling study mapping the global research landscape of corporate governance and sustainability reporting. It quantitatively reveals thematic clusters and temporal shifts, showing how AI text analysis can…
Peer-reviewed🌍 GlobalJournalRisks2026#AI × ESGDOI
Blockchain, Artificial Intelligence, and ESG Disclosure Quality: The Moderating Roles of Financial Regulation and Stakeholder Engagement
Nashat Ali Almasria, Saleh Hamood Nasser AL-Sinawi, Hassan Hamad Aldboush +1
Survey study (n=250) testing whether AI and blockchain relate to perceived ESG disclosure quality, with financial regulation and stakeholder engagement as moderators. PLS-SEM shows positive direct effects for AI, blockchain, regulation, and…
Journal2026#AI × ESGDOI
AI –Enabled Regenerative Practices for Carbon Farming
R. K. Naresh, Rajan Bhatt, Krishan K. Verma +3
This paper addresses AI-enabled regenerative practices for carbon farming. It likely applies AI/ML to soil carbon measurement and management, linking agricultural practices to carbon sequestration and credits. No abstract is available, so m…
Peer-reviewed🇨🇳 ChinaJournalBuilding and Environment2026#AI × ESGDOI
Fine-scale mapping of built-environment carbon emissions: A multi-source data fusion and explainable machine learning framework for high-density urban regions
Ge Shi, Haoran Tang, Wei Wang +4
This work proposes a multi-source data fusion and explainable machine learning framework to map built-environment carbon emissions at fine spatial scales in high-density urban regions. It aims to improve urban emissions estimation accuracy …
Peer-reviewed🌍 GlobalJournalMarine Policy2026#AI × ESGDOI
Mapping ESG Evolution in Brazilian Ports: A Text-Mining Approach to Sustainability Reporting
Darliane Ribeiro Cunha, Newton Narciso Pereira
This study applies text-mining to sustainability reports from Brazilian ports to map how ESG disclosure has evolved over time. Using NLP, it quantifies longitudinal shifts in reporting content, visualizing the maturation of ESG practice in …
Peer-reviewed🇺🇸 USAJournalStudent Journal of Business and Economics2026#AI × ESGDOI
Does Uncertainty in Annual Reports Affect ESG Score?
Lauren Kim
This study examines whether uncertain wording in 10-K annual reports affects ESG performance for 72 US public firms. It finds a negative relation: greater use of ambiguous words is associated with lower ESG scores, suggesting firms may use …
