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…
JournalEnvironmental footprints and eco-design of products and processes2026#AI × ESGDOI
AI-Driven Circular Economy for Carbon Neutrality in Emerging Economies
(著者不明)
This paper explores AI-driven circular economy strategies to achieve carbon neutrality in emerging economies. It discusses how AI optimizes resource efficiency and waste reduction, contributing to emission cuts, with implications for policy…
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…
Peer-reviewedJournalCogNexus2026#AI × ESGDOI
ESG-as-Code: A Deterministic Rule-Based Framework for Automated ESG Compliance Validation
Isaiah Oluwasegun Owolabi
This paper introduces ESG-as-Code, a deterministic rule-based framework that converts ESG regulatory obligations (CSRD, SFDR, SDR, SEC rules) into machine-executable rule logic. It separates probabilistic interpretation from deterministic c…
🌍 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-reviewedJournalGeoenergy Science and Engineering2026#AI × ESGDOI
Predictive model and influence relationship analysis of cement stone corrosion depth and compressive strength in CCUS wells based on a hybrid BiLSTM-XGBR architecture
Yang S.
This paper proposes a hybrid BiLSTM-XGBR model to predict corrosion depth and compressive strength of cement stone in CCUS wells. It applies AI to assess well integrity, contributing to safe and durable CO2 storage.
Peer-reviewedJournalSystems2026#AI × ESGDOI
Machine Learning and Data Science for ESG Compliance Measurement in Financial Software Engineering Projects: A Single-Case Socio-Technical Systems Analysis
K. Strang, N. Vajjhala
This single-case study analyzes ESG compliance measurement in financial software engineering projects as a socio-technical system. Applying an open-source ML workflow to 207 archival records, it finds near-unity correlations between social/…
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-reviewedJournalAdvances in Economics and Management Research2026#AI × ESGDOI
Generative Artificial Intelligence and ESG Reporting: Efficiency Gains, Trust Risks, and a Governance Perspective
Xinyi Wang
This conceptual paper critically examines generative AI in ESG reporting. It argues that while generative AI enhances efficiency by reducing cost and time in processing text-intensive data and drafting disclosures, it introduces challenges …
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🇺🇸 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…
