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-reviewed🌍 GlobalJournalBusiness Innovation Management and Entrepreneurship Journal (BIMANTARA)2026#AI × ESGDOI
Carbon Footprints and Indonesia Market Dynamics: The Risk-Mitigation Role of Artificial Intelligence Innovation
Isnaini Nuzula Agustin, Frendy Wijaya, Lusianus Heronimus Sinyo Kelen +1
Using Indonesian Stock Exchange non-financial firms (2016-2024), this study examines carbon risk's effect on stock performance and AI innovation's moderating role. Carbon risk marginally lowers returns and raises volatility, while AI innova…
Peer-reviewed🇨🇳 ChinaJournalEnvironmental Modelling & Software2026#AI × ESGDOI
Mini-CarbonLLM: A Resource-Efficient Knowledge-Augmented Framework for Environmental Decision Support in Carbon Neutrality Engineering
Jianhua Ma, Yongzhang Zhou, Xian Liu +2
This paper proposes Mini-CarbonLLM, a resource-efficient knowledge-augmented LLM framework for environmental decision support in carbon neutrality engineering. By augmenting domain knowledge externally rather than scaling model size, it ena…
Peer-reviewedJournalMultidisciplinary Reviews2026#AI × ESGDOI
The evolution of AI-driven sustainable finance: A bibliometric and systematic review of ESG performance and investment strategies
A. Masum, Md. Abul Kalam Azad, Najmus Saadat +5
A bibliometric review of 388 documents plus systematic analysis of 39 implementation studies on AI in sustainable finance. Tree-based ensembles dominate structured ESG assessment, while Transformers/LLMs extract narrative signals from text …
Peer-reviewedJournalNext Materials2026#AI × ESGDOI
Performance and carbon footprint assessment of marble dust geopolymer concrete with a CNN-based crack classification framework
Atul S. Kurzekar, Khalid S. Ansari, Mukhtar Hamid Abed +5
This study assesses the performance and carbon footprint of marble-dust geopolymer concrete, integrating a CNN-based crack classification framework. It combines cement-substitution decarbonization with AI-driven quality inspection, illustra…
Peer-reviewed🇨🇳 ChinaJournalFrontiers in Environmental Science2026#AI × ESGDOI
Artificial intelligence for sustainable development: assessing net carbon mitigation benefits of AI-based climate solutions with anomaly detection and life-cycle emissions accounting
Congmin Zhu, Esperanza Deigo
AI climate solutions are often credited with gross avoided emissions without deducting AI's own life-cycle footprint. This study proposes a reproducible framework combining gross avoided emissions, operational emissions from training/infere…
Peer-reviewedJournalFinance research letters2026#AI × ESGDOI
Does Topic Complexity in ESG Reports Matter for ESG Scores?
Ziru Bao, Xiaowen Zhang, Chengcheng Lu +1
This study examines whether the topic complexity of ESG report text affects ESG scores. It links disclosure content characteristics to rating outcomes, likely using text-analytic methods to probe how rating agencies form scores. It offers i…
PreprintSSRN#AI × ESG
Large Language Models for Energy and Carbon Footprint ...
(著者不明)
Based on the title alone (no abstract available), this work appears to apply large language models to energy and carbon footprint assessment. It sits at the AI × ESG intersection gxceed prioritizes, with potential to automate carbon/energy …
Peer-reviewedJournalSustainable Operations and Computers2023#AI × ESGDOI
Sustainability, emission trading system and carbon leakage: An approach based on neural networks and multicriteria analysis
D'Adamo I.
Proposes a hybrid method combining neural networks with multicriteria decision analysis to assess emission trading systems and carbon leakage. It links carbon pricing policy to industrial competitiveness and emission shifting, blending ML p…
Peer-reviewed🇺🇸 USAJournalJournal of Artificial Intelligence2026#AI × ESGDOI
THE U-SHAPED ESG PERFORMANCE PARADIGM: GRADIENT-BOOSTED MACHINE LEARNING EVIDENCE CHALLENGING SUSTAINABILITY-FINANCIAL ORTHODOXY
Hong Viet Le
Using a five-year panel of 500 S&P 500 firms and Sustainalytics ESG Risk Ratings, this study applies Light GBM to test whether ESG risk maps linearly to equity returns. It finds a U-shaped pattern: high-risk firms deliver the strongest retu…
Peer-reviewed🇨🇳 ChinaJournalCarbon Balance and Management2026#AI × ESGDOI
AI and promote carbon reduction: exploring an optimal deep learning model to predict CO2 emissions under technological innovations and green finance
Rabia Akram, Hafiz Muhammad Naveed, Muhammad Usman Anwer +4
Using quarterly-decomposed data (ICEEMDAN) for 15 RCEP economies (2000–2024), the study benchmarks 15 neural/deep-learning models to predict CO2 emissions; an RBF network performed best (MAE 0.028, RMSE 0.040). SHAP analysis shows patents a…
Peer-reviewed🇪🇺 EuropeJournalAnnals of Operations Research2026#AI × ESGDOI
The conditional value relevance of ESG and innovation disclosures: a multi-method analysis of European firms combining panel econometrics and machine learning
Andreas Errikos Delegkos, Evangelia Arsenou, Dionisis Cavouras +2
Using Ohlson's framework, this study combines panel econometrics with Random Forest to assess value relevance of ESG and innovation disclosures in European non-financial firms. Social-governance and environmental innovation show no linear l…
Peer-reviewed🌍 GlobalJournalQualitative Research in Financial Markets2026#AI × ESGDOI
Exploring the synergistic role of green finance and AI in the industrial energy transition: a case study of a Tunisian energy-intensive plant
Hamdi Khalfaoui, Ameni Trabelsi
A qualitative case study of a Tunisian energy-intensive tobacco plant examines how green finance and AI can jointly enable the industrial energy transition. Based on 30 interviews and triangulated institutional data, it reveals a significan…
Peer-reviewed🇺🇸 USAJournalJournal of Risk and Financial Management2026#AI × ESGDOI
Regulated Data Standards and Disclosed AI Orientation: Evidence from the US Inline XBRL Phase-In
Alessio Faccia
Using 1,450 Form 10-K firm-years from 250 CIKs (FY2014–2024), this study examines whether the US Inline XBRL phase-in is associated with disclosed AI orientation. After Holm adjustment, none of four reporting indicators support the hypothes…
Peer-reviewedJournalKOLONI2026#AI × ESGDOI
Analisis Dampak Lingkungan Program Keanekaragaman Hayati Pertamina Fuel Terminal Bandung Di Taman Kehati Kiara Payung Dengan Metode Rosot Karbon Menggunakan Aplikasi Aruna Carbon Intelligence
Angga Eka Wahyu Ramadan, W. Widodo, Erick Abriandi +1
Pertamina's Bandung fuel terminal evaluated a 2-hectare biodiversity and reforestation program in West Java. Using the AI-driven ARUNA Carbon Intelligence platform with QR coding and geotagging, the study measured tree, sapling, understory,…
Peer-reviewed🌍 GlobalJournalAccounts of Chemical Research2026#AI × ESGDOI
Developing
Sustainable Chemistry with AI
Jiyizhe Zhang, P. Yaseneva, Alexei A. Lapkin
This Account reviews how AI and digitalization can accelerate chemistry's transition to net-zero. It covers data-mining of value chains for net-zero feedstocks, AI-driven discovery of catalysts, solvents, and reaction conditions, and AI age…
Peer-reviewedJournalJournal of Intelligent Decision Making and Information Science2026#AI × ESGDOI
Artificial Intelligence in Accounting Research: A Bibliometric Mapping and the Positioning of Sustainability and ESG Reporting
Agus Munandar
A bibliometric mapping of 277 Scopus-indexed articles (2000-2026) using Bibliometrix and VOSviewer traces how AI entered accounting research. Publication surged after 2021 around auditing, generative AI/LLMs, blockchain, and machine learnin…
Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
Artificial Intelligence in ESG and Financial Reporting
Mansi Sudhir Kadam
This paper examines how AI can strengthen the link between ESG and financial reporting through data processing, anomaly detection, disclosure preparation, forecasting and digital reporting. Drawing on IFRS S1/S2, the IFRS Sustainability Dis…
Peer-reviewed🌍 GlobalJournalNext Sustainability2026#AI × ESGDOI
Artificial intelligence for forest carbon dynamics and climate mitigation strategies
John Amoah-Nuamah, Emmanuel Yeboah Okyere, Osman Adams +1
A PRISMA-S review of ~95 studies (2010–2026) synthesizes how AI, machine learning, and deep learning are applied to forest-carbon assessment and climate mitigation. AI expands capacity for biomass estimation, carbon-stock mapping, flux mode…
Peer-reviewed🇪🇺 EuropeJournalBusiness Strategy and the Environment2026#AI × ESGDOI
Measuring Corporate Energy Transition Through Web‐Based Evidence and Large Language Models
Xavier Martínez-Barbero, Ana Pastor-Merino, Josep Domènech
This paper proposes a scalable method to measure firm-level energy transition engagement using corporate website disclosures and LLMs. A restrictive, policy-aligned rubric codes energy efficiency, decarbonization strategies, and renewable e…
Preprint🌍 GlobalZenodo2026#AI × ESGDOI
Hidden Carbon: Accounting for Computational Emissions in AI-Generated Building Design
Bondinuba, Francis Kwesi
Generative AI is used to design lower-carbon buildings, yet standards like EN 15978 and RICS whole-life carbon exclude the energy used to train and run AI models. This concept note proposes Computational Carbon Accounting (CCA), which measu…
