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.
JournalInkubis Jurnal Ekonomi dan Bisnis2026#AI × ESGDOI
Financial Reporting Integrity in the Digital and Sustainability Era: A Systematic Literature Review on Governance, ESG, and Technological Transparency
Winda Wulandari, Sri Widyastuti, Harnovinsah Harnovinsah +1
This systematic literature review reconceptualizes financial reporting integrity as a socio-technical governance phenomenon shaped by governance accountability, sustainability legitimacy, and technological transparency. Analyzing 28 Scopus …
Peer-reviewed🌍 GlobalJournalBusiness Strategy and the Environment2026#AI × ESGDOI
Do Banks in the Middle East and North Africa Region Price Carbon Exposure?
Yaacob Ibrahim, Khaled Hussainey, Taghred Mokhtar Sayed Moawad
This study examines whether carbon exposure affects corporate borrowing costs in the MENA region using a panel of 771 firm-year observations from 2016 to 2023. Combining fixed effects, IV, GMM, quantile regression, and machine learning, it …
PreprintResearch Square2026#AI × ESGDOI
Quantum Intelligence (QI)-Driven Cross-Level Environmental Monitoring and Governance: Case Studies of Semiconductor Process Emissions, Industrial Wastewater, Urban PM2.5, and Carbon Inventory in Energy Management
Ke W
This paper frames environmental monitoring as collaborative governance infrastructure under ESG and net-zero policies, and explores how 'Quantum Intelligence (QI)'—combining quantum optimization and quantum machine learning—can reshape the …
PreprintSSRN2025#AI × ESG
Unlocking New Possibilities for Carbon Tracking and Waste Reduction
(著者不明)
This paper demonstrates that integrating IoT and BI platforms improves Scope 3 emissions reporting accuracy by 40% in logistics. It emphasizes data unification from a governance perspective, offering new possibilities for carbon tracking an…
ConferenceIEEE International Conference on Fuzzy Systems2026#AI × ESGDOI
Fuzzy Logic-Driven Reward Optimization for Deep Reinforcement Learning in Carbon Emission Trading
Seyed Ali Hosseini, Francesco Grimaccia, A. Niccolai
This paper introduces fuzzy logic into reward design for deep reinforcement learning agents in carbon emission trading (ETS), aiming to optimize trading strategies. Fuzzy rewards improve decision-making under uncertainty, balancing emission…
Journal2026#AI × ESGDOI
Peer Review Report For: Multi capital disclosure and sustainability performance in Bangladeshi financial institutions using Deep Machine Learning [version 1; peer review: 1 approved]
Md Qamruzzaman
Using panel regressions and a deep learning (MLP) model on 62 listed Bangladeshi financial institutions (2005-2023, 1,178 firm-years), this study finds that intellectual, human, and natural capital disclosures each positively and significan…
PreprintOSF Preprints (OSF Preprints)2026#AI × ESG
Power Below the Pedestal, The Conscious Surgical Floor: A Scoping Review of Sustainable Infrastructure for Minimizing Carbon Footprints and Optimizing Energy Usage in Operating Rooms
Sina Rostami, Muhammad Bilal, Mehrdad Taghipour
This scoping review systematically maps technologies and strategies to reduce energy use and carbon footprints in operating rooms, evaluating methods from HVAC optimization to AI-driven management. It identifies a gap in kinetic energy harv…
JournalApple Academic Press eBooks2026#AI × ESGDOI
Artificial Intelligence-Based Decision Support Systems for Renewable Energy Investment and Deployment for Transition to Sustainable Energy
Venkata Krishna Reddy, Aadam Quraishi, G. C. Prashant +1
This paper proposes a deep learning-based decision support system (DSS) for renewable energy (RE) investment and deployment. It uses CNNs to extract features from weather, energy, and economic data, RNNs to forecast energy demand and supply…
JournalApple Academic Press eBooks2026#AI × ESGDOI
AI-Powered Green Energy: Transforming the Renewable Landscape
Lila Simon, Abino Simon, Aalbin Simon
This chapter explores the integration of AI and renewable energy for a sustainable energy ecosystem. It reviews the renewable landscape in India and globally, detailing AI applications in solar, wind, hydro, biomass, and geothermal, includi…
Peer-reviewed🇪🇺 EuropeJournalSustainability2026#AI × ESGDOI
A Computational Pipeline for Hierarchical Evocation Analysis of Renewable Energy in Online Climate Discourse
Michelangelo Misuraca, Luca D’Aniello, Maria Spano
This study analyzes renewable energy social representations in Reddit climate discourse (2018-2026, 91,817 comments) using a computational adaptation of the Hierarchical Evocation Method. Combining theory-informed lexical anchoring with dat…
Peer-reviewedJournalFinance Research Letters2022#AI × ESGDOI
Cheap talk and cherry-picking: What ClimateBert has to say on corporate climate risk disclosures
Bingler J.A.
This paper uses ClimateBert, a specialized language model, to analyze corporate climate risk disclosures, focusing on 'cheap talk' (substantively empty claims) and 'cherry-picking' (selective disclosure of favorable information). It offers …
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#AI × ESGDOI
Climate Policy Uncertainty and Corporate Sustainable Performance: An Empirical Study Based on Chinese Listed Companies
Xiao Qin, Quan Fang, Yuan Virtanen
This study empirically examines the impact of climate policy uncertainty on corporate sustainability (ESG scores) using Chinese A-share listed firms from 2016 to 2025. Employing a two-way fixed-effects model, it finds that climate policy un…
Peer-reviewed🇨🇳 ChinaJournalSystems2026#AI × ESGDOI
Evolution of Coupling Coordination Between Artificial Intelligence and High-Quality Energy Development: Evidence from China
Mengqi Yuan, Wenfei Zang, Guangchong Chen
Using provincial data from China (2012-2022), this study analyzes the coupling coordination between AI and high-quality energy development (AHCC). Both advanced, but AI lagged and regional disparities persisted, with intensifying spatial au…
JournalOpen Science Framework2026#AI × ESGDOI
Power Below the Pedestal, The Conscious Surgical Floor: A Scoping Review of Sustainable Infrastructure for Minimizing Carbon Footprints and Optimizing Energy Usage in Operating Rooms
Mehrdad Taghipour, Sina Rostami, Muhammad Bilal
This scoping review systematically maps technologies and strategies to reduce energy use and carbon footprints in operating rooms, including HVAC optimization and AI-driven management. It identifies a methodological gap in kinetic energy ha…
Peer-reviewedJournalJournal of Engineering and Technology (JET)2026#AI × ESGDOI
A COMPARATIVE ANALYSIS OF FINE TREE REGRESSION AND ANFIS FOR PREDICTING CARBON FOOTPRINTS IN RESIDENTIAL CONSTRUCTION
Rufaizal Che Mamat, Azuin Ramli, M. N. A. Ghani +3
This study compares fine tree regression and ANFIS for predicting carbon footprints across four stages of residential construction. Using 2000 observations, ANFIS outperformed Rtree in all stages, achieving lower RMSE values, especially in …
PreprintarXiv (Cornell University)2026#AI × ESGDOI
Proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026)
Adrian Friday, Abdessalam Elhabbash, Ignatius Ezeani +3
This volume contains the proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026), held at Lancaster University, UK. It covers topics such as carbon measurement and reporting, sustainable software engineering, energ…
Peer-reviewedJournalCase Studies in Construction Materials2026#AI × ESGDOI
Unlocking the Carbon Sequestration Potential: Machine Learning-Driven Low-Carbon Design of Recycled Aggregate Concrete
Yao Lv, Jincheng Mu, Kanglei Du +2
This study proposes a machine learning-driven approach to optimize the mix design of recycled aggregate concrete, maximizing its carbon sequestration potential. It aims to reconcile low-carbon design with carbon fixation, contributing to de…
Peer-reviewed🇨🇳 ChinaJournalISPRS International Journal of Geo-Information2026#AI × ESGDOI
From Spatial Evolution to Low-Carbon Transition: Regional Heterogeneity and Stage Diagnosis of Carbon Emissions Across 19 Urban Agglomerations in China
Ye Duan, Minghan Yang, Zhaowei Hou +3
This study analyzes spatiotemporal carbon emission patterns across 19 Chinese urban agglomerations (2006-2023) using spatial statistics and machine learning (random forest, SHAP). It identifies industrial structure and economic development …
PreprintResearch Square2026#AI × ESGDOI
From Digital Twin to AI-Integrated Control: A Review and Research Agenda for Large-Scale PEM Electrolyzer Plant Management
Bora DK
This review focuses on large-scale PEM electrolyzer plant management for green hydrogen production, highlighting the limitations of digital twin technology. Passive digital twins cannot autonomously close the control loop, causing predictio…
DatasetZenodo2026#AI × ESGDOI
Hybrid Energy Storage Dataset
Ziya07
This dataset contains 5-minute interval operational data from a synthetic Hybrid Energy Storage System (HESS), including solar/wind generation, grid power, battery/supercapacitor states, hydrogen production, load demand, supplied power, pow…
