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.
Conference2026 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT)2026#AI × ESGDOI
Standardizing Environmental Accountability in Artificial Intelligence: A Comprehensive Framework for Lifecycle Measurement, Metrics and Policy Compliance
Mahi Sharanya Sreedhar, Vaidehi V., Ashwini Patil
Proposes a comprehensive framework for measuring and standardizing the environmental footprint of AI systems across their lifecycle. It organizes measurement metrics and policy-compliance requirements, advancing institutionalized environmen…
Peer-reviewedJournalAcademic Journal of International University of Erbil2026#AI × ESGDOI
The Role of Artificial Intelligence in Advancing Sustainability Accounting and Reporting in Kurdistan Firms
Rebin Bilal Mohammed, Mohammed Mustafa Ahmad Alzrary
Using SEM on 385 survey responses from medium-to-large Kurdistan firms, this study shows AI adoption significantly improves sustainability accounting and reporting quality. Sustainability accounting partially mediates AI's positive effect o…
Peer-reviewedJournalInternational Review of Economics & Finance2026#AI × ESGDOI
Financing green transition: Studying ESG disclosure reliability, Green finance misallocation, and disclosure reliability with machine learning
shihui miao, Liu Hongxun
This paper applies machine learning to examine the reliability of ESG disclosure and the misallocation of green finance. It quantitatively tests how disclosure reliability affects the proper allocation of green capital, contributing to dete…
Peer-reviewedJournalAsian Review of Accounting2024#AI × ESGDOI
Renovation in environmental, social and governance (ESG) research: the application of machine learning
Zhang A.Y.
This paper examines how machine learning is reshaping ESG research. It discusses ML applications to ESG evaluation, scoring, and disclosure analysis, highlighting methodological renovation in how sustainability data is processed and assesse…
Journal2026#AI × ESGDOI
Peer Review Report For: How Does Digital Innovation Drive Corporate Sustainability? A Systematic Literature Review [version 1; peer review: 1 approved]
Joni Prasetiyanto, Mochammad Al Musadieq, Muhammad Faisal Riza +1
This peer review report addresses a systematic literature review on how digital innovation drives corporate sustainability. From 231 Scopus records, 49 quantitative open-access studies (2023-2026) were synthesized. Digital innovation genera…
🇯🇵 JapanJournal2026#AI × ESGDOI
The Impact of Artificial Intelligence on Financial and Sustainability Reporting Quality: A PLS-SEM Approach Using SmartPLS
Sajead Mowafaq Alshdaifat
Using PLS-SEM in SmartPLS on survey data from accounting, finance, sustainability and governance professionals in Jordanian medium and large firms, this chapter shows that Artificial Intelligence Capability (AIC) significantly improves both…
Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
HiCon-ESG: Confidence-aware hierarchy-regularized learning improves fine-grained ESG disclosure classification
Song Dongze
This paper proposes HiCon-ESG, a confidence-aware, hierarchy-regularized learning method for fine-grained classification of ESG disclosure text. By incorporating the hierarchical structure of ESG topics into regularization while accounting …
Peer-reviewedJournalSTORAGE Jurnal Ilmiah Teknik dan Ilmu Komputer2026#AI × ESGDOI
A MACHINE LEARNING-BASED CONCEPTUAL FRAMEWORK FOR AUTOMATED DIGITAL WASTE CLASSIFICATION WITH PROJECTED CARBON FOOTPRINT REDUCTION
Burhanuddin
This paper proposes ADWC, a machine-learning conceptual framework for automated digital waste classification integrating metadata across a five-layer architecture. On an assumed ~30TB corpus it projects identifying 38.7% as actionable digit…
🇺🇸 USAJournal2026#AI × ESGDOI
Scalable Carbon Assessment for Sustainable Urban Futures through Automated Systematic Tools: Lessons from New York
Siavash Ghorbany, Ming Hu, Siyuan Yao +2
This study presents EcoSphere, a standalone tool automating building-level carbon assessment by integrating National Structure Inventory data, computer vision, and LLMs on Street View and satellite imagery. It builds archetype-based baselin…
🌍 GlobalDatasetZenodo2026#AI × ESGDOI
GREEN TRANSITION AND ALGORITHMS: AN ECONOMIC ASSESSMENT OF THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DECARBONISATION OF INDUSTRIAL ENTERPRISES (THE EXPERIENCE OF GERMANY AND PROSPECTS FOR UZBEKISTAN)
Abdubannonova Khonzodabonu, Worldly Knowledge Publishing Centre
This article assesses the economic effects of AI and intelligent energy management on industrial decarbonisation, comparing Germany with Uzbekistan. It frames machine learning as an economic rather than environmental instrument, decomposing…
Peer-reviewed🇪🇺 EuropeJournalTechnology in Society2025#AI × ESGDOI
Eco-friendly algorithms: Artificial intelligence and green finance in European intelligent nations
Wang C.
This study appears to examine the relationship between artificial intelligence and green finance across European 'intelligent' nations. It likely explores how AI supports green finance expansion or environmental evaluation, but with no abst…
2026#AI × ESGDOI
Feature Decomposition and Predictive Modeling of ESG–Financial Performance: A Data Mining Approach to Green Innovation Quantification with Industry-Region-Temporal Stratification
Yi-Ning Ding
A data-mining study that decomposes and predicts the link between ESG ratings and financial performance. It stratifies by industry, region, and time to quantify green innovation. The work offers a quantitative framework for connecting ESG e…
2026#AI × ESGDOI
Detecting Synthetic Transparency: A Pilot Text-Analytics Study if Generative AI, ESG Narratives and Earnings Quality
Xiao-Xi Chen, Saira Kharuddin, Jalila Johari
A pilot text-analytics study that detects generative-AI-produced ESG narratives and links them to earnings quality. It flags the risk that AI-generated 'synthetic transparency' distorts ESG assessment and investor judgment, raising a new au…
2026#AI × ESGDOI
An AI-Driven Framework for ESG Information Disclosure and Corporate Social Responsibility Evaluation: Integrating Large Language Models and Causal Inference
Bei-Ning Han
Proposes an AI-driven framework integrating large language models with causal inference for ESG disclosure analysis and CSR evaluation. It applies generative AI to parse ESG disclosure text and causal methods to estimate links between evalu…
🌍 GlobalDatasetZenodo2026#AI × ESGDOI
AI Inference Emission and Resource Factors for Corporate GHG Inventories
Llopis, Guillermo
Version 2 of SOMA AI's open dataset of AI-inference emission and resource factors for corporate GHG inventories. It adds embodied-hardware and training-amortisation terms, France and Finland grid rows, a commercial model-class mapping table…
Peer-reviewedJournalBusiness Strategy and the Environment2026#AI × ESGDOI
Artificial Intelligence–Driven ESG Strategy: Predictive Analytics for Sustainable Value Creation: A Narrative Review
E. Tenakwah, B. Otchere-Ankrah, E. Tenakwah
This narrative review synthesizes literature at the intersection of AI, ESG strategy, and sustainable value creation. It examines how machine learning, predictive analytics, and big data enable resource optimization, sustainability risk ant…
Peer-reviewedJournalBusiness Strategy and the Environment2026#AI × ESGDOI
Artificial Intelligence as a Governed Capability System for Sustainable Supply‐Chain Management: A Systematic Review, Taxonomy and Research Agenda
W. Lin
A systematic review of 53 studies at the intersection of AI, supply-chain management and sustainability. It reframes AI not as a set of techniques but as a governed capability system where data, models, decision routines and accountability …
Peer-reviewed🌍 GlobalJournalEngineering and Technology Journal2026#AI × ESGDOI
From Financial Stewardship to AI-Enabled Strategic Intelligence: Reimagining Finance for A Sustainable Indonesian Palm Oil Supply Chain
Loso Judijanto
This qualitative literature review examines how AI transforms finance from a transactional/reporting function into strategic intelligence within Indonesia's palm oil supply chain. It identifies opportunities in cash-flow forecasting, risk m…
Peer-reviewed🌍 GlobalJournalHighlights in Business, Economics and Management2026#AI × ESGDOI
Carbon-Aware Offline Reinforcement Learning for Joint Inventory Replenishment and Transportation Scheduling in Multi-Echelon Supply Chains
Pan Li, Meng-Lin Bian, Yi-Zheng Lin
This paper proposes CA-CQL, a budget-conditioned carbon-aware conservative offline RL method for joint inventory replenishment and transportation scheduling. It combines a remaining-budget state, carbon-shaped conservative value learning, a…
🇪🇺 EuropeConference2026 14th International Conference on Smart Grid (icSmartGrid)2026#AI × ESGDOI
Data-Driven Framework for Real-Time Carbon Accounting and Sustainability Monitoring in Off-Grid Urban Residential Microgrids
M. Arunakumari, Rajesh Mattaparthi, S. Kothuri +3
This paper proposes an AI-based decision framework integrating household occupancy, energy use, renewable generation and environmental quality for carbon-free urban living. Using the open-access Mafate off-grid microgrid dataset from Reunio…
