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🇺🇸 USAJournalBMC Global and Public Health2026#AI × ESGDOI
Reducing healthcare emissions in the United States in the era of federal environmental deregulation: established and emerging mitigation opportunities and concomitant benefits
Erica Mascarenhas, Oluseyi A Fayanju, Anna Arroyo +1
The US healthcare sector leads globally in per capita GHG emissions, and federal deregulation heightens the need for voluntary action. Decarbonization across infrastructure, supply chains, and operations is feasible via renewable energy, wa…
Peer-reviewed🌍 GlobalJournalBusiness Strategy and the Environment2026#AI × ESGDOI
Board Gender Diversity and the Quality of Corporate Climate Impact Disclosure: UK Evidence
Mahmoud Elmarzouky, Sabrina Khemiri, Doaa Shohaieb
This study examines how board gender diversity affects the quality of climate impact disclosure in UK nonfinancial firms. Using a novel text-analysis-based index, it finds that boards with at least four female directors significantly enhanc…
CNConferenceInternational Conference on Computer Modeling and Simulation2026#AI × ESGDOI
A Multi-Agent Simulation Framework for Understanding ESG Rating Divergence
Haibo Du, Youping Zhao
This paper presents a multi-agent simulation framework to explain ESG rating divergence among agencies. Using CSI 300 firms, it shows weight differences alone cause significant divergence (4.19 points), low disclosure quality amplifies it b…
Peer-reviewed🇺🇸 USAJournalSustainability2026#AI × ESGDOI
Pathways to the Circular City: Scenario Planning and Agent-Based Modeling to Explore Developer Decision-Making and City Policies
Courtney Bower, Farzin Lotfi-Jam, Jennifer S. Minner +2
This study uses agent-based modeling (ABM) to simulate how building reuse and deconstruction choices affect city-wide embodied carbon emissions in Ithaca, NY. Comparing four scenarios, it finds that maximizing preservation achieves the lowe…
Peer-reviewedJournalJournal of Risk and Financial Management2026#AI × ESGDOI
Digital Transformation as a Financial Value-Conversion Capability: Moderating the Link Between Corporate Energy Transition and Financial Performance in Indonesia
W. Wardhiah, Maimoona Majid, Said Musnadi +1
Using panel data from 30 Indonesian firms (2020-2025) linked to the LQ45 Low Carbon Leaders Index, this study examines whether digital transformation (DX) helps convert energy-transition strategies into financial value. A 30-item DX index a…
Peer-reviewedCNJournalInternational Journal of Energy Research2026#AI × ESGDOI
Hybrid Feature‐Selection and Multi‐Scale Deep Learning for Carbon Price Forecasting in Emerging Carbon Markets
Sensheng Li, Minjun Huang, Fuping Wang +3
Proposes a hybrid ET-MVMD-GRU framework for carbon price forecasting across six Chinese pilot ETSs. Integrates feature selection, multi-scale decomposition, and deep learning, outperforming 10 competing models on MAE, RMSE, and MAPE. Offers…
Peer-reviewedJournalBusiness Navigator2026#AI × ESGDOI
THEORY AND METHODOLOGY OF SCIENTIFIC RESEARCH ON INVESTMENT MANAGEMENT OF DISTRIBUTION NETWORKS IN AGRIBUSINESS
I. Kravchuk, N. Valinkevych, O. Prysiazhniuk
This paper presents theoretical and applied foundations for investment management in agribusiness distribution networks, integrating portfolio diversification, real options, behavioral finance, ESG metrics, and DeFi. It proposes a hierarchi…
Peer-reviewedJournalJurnal Akuntansi Auditing dan Keuangan BALANCE2026#AI × ESGDOI
THE EFFECTS OF DIGITAL TRANSFORMATION, ESG DISCLOSURE, AND CORPORATE GOVERNANCE ON CORPORATE FINANCIAL DISTRESS THROUGH OPERATIONAL RISK AND FINANCING CONSTRAINTS
Faridah, Sitti Mujahida Baharuddin, Herminawaty +3
This study analyzes the effects of digital transformation, ESG disclosure, and corporate governance on financial distress, mediated by operational risk and financing constraints, using panel data from Indonesian non-financial firms (2018-20…
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 novel learning method that improves fine-grained classification of ESG disclosure documents. By incorporating confidence-aware hierarchy regularization, it enhances classification accuracy and interpretabili…
DatasetFigshare2026#AI × ESGDOI
<b>High-Resolution Urban Carbon Footprint Maps of the Metropolitan Area of Mexico City (MCMA)</b>
Rogelio O. Corona‐Núñez
This dataset provides high-resolution (100m) spatial models of household carbon footprints for the Mexico City metropolitan area, using Random Forest on survey data from 992 dwellings. It maps diet, housing, and transport emissions with sta…
🌍 GlobalJournal2026#AI × ESGDOI
Quantum-AI and Geospatial Topological Analytics for Fraud Detection, Leakage Risk and Permanence Assessment in Carbon Credit Markets
Murali Krishna Pasupuleti
This monograph proposes an integrated architecture for high-integrity carbon-credit market analytics, combining geospatial observation, topological data analysis, statistical inference, machine learning, and quantum-assisted computation. It…
Peer-reviewed🇨🇳 ChinaJournalConstruction and Building Materials2026#AI × ESGDOI
Machine learning-guided design of low-carbon emission recycled concrete aggregate hot-mix asphalt mixtures based on engineering constraints
Kui Hu, Wenhui Chen, Kunpeng Zhang +3
This study uses machine learning to optimize the design of low-carbon asphalt mixtures incorporating recycled concrete aggregate. By incorporating engineering constraints, it proposes mix designs that balance carbon emission reduction with …
🇨🇳 ChinaJournal2026#AI × ESGDOI
Intelligent management platform architecture based on spatiotemporal graph networks and multi-modal anomaly identification under low-carbon constraints
Yan Liang
This paper proposes an intelligent management platform architecture for ecological governance under low-carbon constraints. It integrates edge-cloud collaboration, spatiotemporal graph networks, multi-modal anomaly detection, and multi-obje…
Peer-reviewed🇨🇳 ChinaJournalFrontiers in Business Economics and Management2026#AI × ESGDOI
Low-carbon Distribution Path Optimization of Urban Fresh Logistics Based on Improved Ant Colony Algorithm
Fang Qi
This paper constructs a multi-objective optimization model for low-carbon urban fresh logistics distribution, minimizing total cost and carbon emissions. An improved ant colony algorithm with optimized pheromone update and heuristic weights…
Peer-reviewedCNJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
AI data centers as flexible resources for China's low-carbon power transition
Zhuo Chen, Baihe Gu, Xiong Qiyang +2
This paper explores using AI data centers' demand flexibility to support China's low-carbon power transition. It demonstrates how load shifting and adjustment capabilities of data centers can facilitate renewable integration and enhance gri…
Peer-reviewed🇨🇳 ChinaJournalFrontiers in Marine Science2026#AI × ESGDOI
AI-assisted bilevel optimization for sustainable maritime operations under the EU emissions trading system: model-implied carbon-cost signals and shipping network response
Zhiyi Ye, Xiang Yuan
Developing an AI-assisted bilevel optimization combining Bayesian Optimization and MILP for maritime decarbonization under EU ETS. In the Asia-Europe case, it reduces cumulative emissions by 28.39% with only 0.213% resource cost increase, o…
Preprint🌍 GlobalOpen MIND2026#AI × ESGDOI
Beyond Linear Panels: A Machine-Learning-Augmented Quantile Approach to Green Innovation and the Renewable Energy Transition in OECD Countries
Hasan Tutar
This paper employs a machine-learning-augmented quantile regression to analyze the relationship between green innovation and renewable energy transition in OECD countries. By moving beyond linear panel models, it captures heterogeneous effe…
PreprintSSRN#AI × ESG
Using Natural Language Processing For Detecting Greenwashing ...
(著者不明)
This paper proposes and evaluates NLP-based methods to automatically detect corporate greenwashing. By analyzing texts such as ESG reports and press releases, it identifies discrepancies between environmental claims and actual performance. …
Peer-reviewedCNJournalSustainability2026#AI × ESGDOI
Conflicting ESG Ratings and SA-Based Financing Constraints: A Study of Chinese Listed Firms
Sunxu Liu, Yue Hu, Xiangyu Hua
Using Chinese A-share non-financial listed firms (2009-2024), this study examines whether ESG rating divergence is associated with SA-index-based financing constraints. Fixed-effects regressions show a significant positive association, with…
Peer-reviewedJournalGeophysics2026#AI × ESGDOI
Semi-Supervised Pre-trained Foundation Model for 3D Geological Feature Analysis of Seismic Images
Lei Lin, Zhi Zhong, Chenglong Li +5
This study proposes SS-UNETR, a semi-supervised foundation model based on a 3D Swin Transformer, for simultaneous identification of multiple geological features (faults, channels, caves) in seismic volumes. Pre-trained on 75,651 field image…
