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.
🌍 GlobalJournalEnvironmental footprints and eco-design of products and processes2026#AI × ESGDOI
Roadmap for AI-Powered Circular Value Chains for Carbon Neutrality and Corporate Sustainability in Emerging Economies
Sanjana Santra, Kishore Kumar, Ankita Sharma
This paper proposes a roadmap for AI-powered circular value chains to achieve carbon neutrality and corporate sustainability in emerging economies. It integrates AI technologies with circular economy principles to enhance resource efficienc…
Peer-reviewed🇺🇸 USAJournalInternational Journal of Computer Information Systems and Industrial Management Applications2026#AI × ESGDOI
Hybrid Process and Machine Learning Framework for Greenhouse Gas Mitigation in Legume Cropping Systems
Arnima Pathak, Monika Sharma, Devendra Kumar
This paper proposes a hybrid process and machine learning framework to predict and classify nitrous oxide emissions in legume-based cropping systems. Using 22 years of field data, the ensemble model achieved high predictive accuracy (R²=0.9…
🌍 GlobalDatasete-space (Manchester Metropolitan University)2026#AI × ESGDOI
Carbon-intensity scheduling delivers greater climate benefit than incremental code-level energy reductions (Supplementary Information)
Michael Bane
This study shows that for computational matrix operations, shifting computation in time and space based on carbon intensity yields far greater carbon savings (up to 354x) than energy reductions from code-level optimizations (up to 51x). A r…
Peer-reviewed🌍 GlobalJournalBusiness Strategy and the Environment2026#AI × ESGDOI
Artificial Intelligence and ESG Disclosure Quality: A Boundary Conditional Analysis Using Quantile Regression
Desmond Bayong, Dejun Zhou, Andrews Osei Agyemang
This study examines the impact of AI adoption on ESG disclosure quality among manufacturing firms in G7 economies using panel data from 2017-2024 (5,600 firm-year observations). Quantile regression reveals a consistently positive relationsh…
Peer-reviewedCNJournalAdvanced Electromagnetics2026#AI × ESGDOI
Green Finance Policy Impact Analysis Based on Integrated Knowledge Graph
L. Lin, X. Yao, J. L. Liang
This paper proposes a method using an integrated Knowledge Graph (KG) and NLP to quantify green finance policy impacts by integrating policy, market, ESG, and carbon data. Validation with DID on China's green finance pilot zones (2016-2023)…
Peer-reviewedCNJournalAdvanced Electromagnetics2026#AI × ESGDOI
Construction of a New Energy Settlement Index System and Market Operation Status Evaluation Model Based on Graphormer
X. L. Wang, X. Xue, Y. Lin +1
Proposes a Graphormer-TCN fusion model to assess market operation of new energy settlement mechanisms in industrial parks. Models transmission topology as a weighted graph, integrating spatial and temporal features to score market operation…
Peer-reviewed🌍 GlobalJournalJurnal Locus Penelitian dan Pengabdian2026#AI × ESGDOI
Between Compliance and Commitment: A Temporal Critical Discourse Analysis of How National and International Oil Companies Respond to Evolving Climate-Related ESG Regulations in Their Public Disclosures, 2016–2026
Nugroho Nugroho, Rahmatul Husni
This longitudinal critical discourse analysis compares how National Oil Companies (NOCs) and International Oil Companies (IOCs) responded to evolving climate disclosure regulations from the Paris Agreement to EU Omnibus I (2016-2026). Analy…
Peer-reviewed🇨🇳 ChinaJournalMitigation and Adaptation Strategies for Global Change2026#AI × ESGDOI
Region-specific daily industrial carbon emissions forecasting based on a dual-channel deep learning framework using mixed-frequency data
Yifei Lu, Jia Lu, L. Jin +2
This paper proposes a dual-channel deep learning framework using mixed-frequency data to forecast region-specific daily industrial carbon emissions with high accuracy. It applies AI to carbon emission monitoring, aiding climate action and e…
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-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…
🌍 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…
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…
