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🇺🇸 USAJournalJournal of Cybercommunication Academic Society2026#AI × ESGDOI
Netflix’s ESG Responsibility Boundaries and the AI Disclosure Gap: A Document-Based Quantitative Content Analysis of ESG Reports (2019-2025) and Shareholder Letters (2021-2025)
Youngju Han
A document-based quantitative content analysis of Netflix's ESG reports (2019-2025) and shareholder letters (2021-2025). It examines how the firm draws ESG responsibility boundaries and exposes a gap in AI-related disclosure. The method off…
PreprintResearch Square2026#AI × ESGDOI
Empirical Modeling and Machine Learning Prediction of Operational Electrical Load, Power Quality, and Carbon Emissions in a Korean Steel Manufacturing Plant
Vishwakarma A, Guneja RK
Analyzed 35,040 fifteen-minute meter records (2018) from a Korean steel plant, linking load regimes to reactive energy and power factor via a path model. An MLP forecast reached test R²=0.72 versus 0.32 for seasonal-naive. In-plant measures…
Peer-reviewed🇺🇸 USAJournalSustainability2026#AI × ESGDOI
AI-Driven Smart Haulage Technologies for Decarbonization and Sustainable Mine Transportation: A Comprehensive Review
Justina Senam Lotsu, Nana Yaa Damtewaa Anti, Gilbert Yaw Bimpong +1
Haul trucks cause over half of direct mining emissions, making haulage decarbonization central to net-zero goals. This review synthesizes 73 sources (2017-2026) on route optimization, electric/hybrid trucks, predictive maintenance, carbon r…
ReportAdaptive Artificial Intelligence Fundamentals Challenges and Applications2025#AI × ESGDOI
Empowering Sustainable Finance Through Education and Awareness: Fostering Responsible AI and Quantum Computing Usage for Enhanced ESG Analysis
Geetha N.
This paper argues that sustainable finance can be strengthened by education and awareness-building that fosters responsible use of AI and quantum computing for ESG analysis. It frames these emerging technologies as enablers of more sophisti…
Peer-reviewedCNJournalInternational Journal of Sociology and Social Policy2026#AI × ESGDOI
Does green intellectual capital improve environmental, social and governance information disclosure? Textual analysis evidence from Chinese A-listed businesses
Fawad A.
An empirical study using textual analysis of Chinese A-listed firms to test whether green intellectual capital improves ESG information disclosure quality. It links green intangible assets to higher disclosure levels, illustrating NLP/text …
Peer-reviewedJournalXitong Gongcheng Lilun Yu Shijian System Engineering Theory and Practice2026#AI × ESGDOI
The role of institutions in ESG disclosure: A machine learning approach
Wang T.
This paper examines how institutional factors shape corporate ESG disclosure using a machine learning approach. It quantitatively links regulatory, governance, and legal institutions to firms' ESG reporting behavior, offering implications f…
Peer-reviewedJournalInternational Journal of Logistics Research and Applications2026#AI × ESGDOI
Advancing net-zero supply chain management: a machine learning driven review aligned with the sustainable development goals
Raman R.
A machine-learning-driven review of net-zero supply chain management (NZS CM) research, organized around alignment with the SDGs. It maps how AI/ML methods support supply-chain decarbonization, emissions visibility, and supplier-level net-z…
Peer-reviewedCNJournalEngineering Reports2026#AI × ESGDOI
Research on Enterprise Environmental, Social, and Governance Rating Prediction Model Integrating Financial Features and Random Forest
Liang-Shun Mo, Yu-Jiang Xie
This study builds an ESG rating prediction model combining financial features with a random forest (RF) algorithm, tested on China's CSI ESG dataset. RF achieved precision 0.8414 and AUC 0.8971, outperforming logistic regression, SVM, and X…
Peer-reviewed🇨🇳 ChinaJournalElectric Power Systems Research2026#AI × ESGDOI
Optimal carbon quota allocation for power system decarbonization: a two-stage peer-to-peer market framework
Mengdie Li, Derong Yi, Tao Wu +3
This paper proposes a two-stage carbon quota allocation framework for power system decarbonization. Stage one allocates quotas reflecting heterogeneous consumer low-carbon potential to regulate a secondary carbon market; stage two establish…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#AI × ESGDOI
Digital Transformation, Carbon Disclosure, and Green Innovation in Energy Transition: Firm-Level Evidence from China’s Energy Sector
唐安宝, Zirui Wang
Using 914 Chinese A-share energy firms (2020–2025), this study examines how digital transformation shapes carbon performance. Digitalization significantly boosts green-patent applications and carbon-disclosure likelihood, but direct effects…
🌍 GlobalJournalSingapore Management University Institutional Knowledge (InK) (Singapore Management University)2026#AI × ESG
Climate transition stress testing for corporate credit risk: A replicable data-mining pipeline using ESG risk scores
Huynh Long Hung NGUYEN, Alan Megargel, Rajesh Krishna Balan +1
Proposes a replicable data-mining pipeline that uses ESG risk scores to conduct climate transition stress tests on corporate credit risk. It bridges AI/ML methods with ESG evaluation and climate-risk modeling, offering practical implication…
Journal2026#AI × ESGDOI
Peer Review Report For: How Does Digital Innovation Drive Corporate Sustainability? A Systematic Literature Review [version 1; peer review: 1 approved, 1 approved with reservations]
Joni Prasetiyanto, Mochammad Al Musadiеq, Muhammad Faisal Riza +1
This systematic review synthesizes 49 empirical studies (2023–2026) on how digital innovation affects corporate sustainability. It finds digital transformation, AI, digital finance, and supply-chain digitalization generally improve ESG and …
Peer-reviewedJournalIndonesian Journal of Sustainability Accounting and Management2026#AI × ESGDOI
An Agentic AI Framework for ESG Disclosure Monitoring and Governance Evidence
Amit Aylani, Madhuri Rao
This study develops AEIF, a four-agent decision-support architecture that ingests ESG disclosures, harmonises indicators, detects anomalies, and generates governance-oriented decision trails. Harmonising 43 indicators across 480 firm-year r…
🇪🇺 EuropeDatasetDigital Repository (Polytechnic University of Cartagena)2026#AI × ESGDOI
Replication data for "Carbon footprint optimization of a LoRa-based multi-hop Industrial Internet of Things network deployment" [Dataset]
Francisco-Jose Alvarado-Alcon, Rafael Asorey-Cacheda, Antonio-Javier García-Sánchez +1
This dataset provides inputs and targets for training, validating, and evaluating neural models that approximate carbon footprint (CF)-aware gateway placement in LoRa-based multi-hop IoT deployments. Each record describes an instance with 3…
PreprintZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
Boundary-consistent screening of electricity, carbon and water footprints for generative-AI inference: a reproducible methodological note
Er.Lavanya Sivaramakrishnan
Environmental footprint estimates for generative-AI inference are often compared despite differing workloads, reporting statistics and infrastructure boundaries. This methodological note proposes a conservative screening protocol to classif…
Preprint🇺🇸 USAarXiv (Cornell University)2026#AI × ESGDOI
Learning When to Transfer: Reinforcement Learning for Carbon-Footprint Modeling in New Manufacturing Domains
Muhammad Umar Farooq, Daniel Cooper
Manufacturers often lack data to model carbon footprints of new materials or processes. This work proposes a reinforcement-learning policy that selectively transfers knowledge from existing manufacturing domains, using a validation gate to …
Peer-reviewedJournalAl-Noor Journal of Engineering Management and Computer Science2026#AI × ESGDOI
Explainable Machine Learning for Predicting CO₂ Emissions and Monitoring Sustainable Development Goals: A Data-Driven Framework with Iraq Case Study
Alyaa Abdalhussein hamad
This study proposes an Explainable ML framework (XGBoost, Random Forest, LSTM with SHAP) to predict CO₂ emission trends and assess impacts on SDG 7, 9, and 13. Using World Bank and Our World in Data (1990–2022) across 180+ countries, XGBoos…
ReportFintech and Robotics Advancements for Green Finance and Investment2025#AI × ESGDOI
Thematic analysis of blockchain and artificial intelligence in sustainable finance
Arslan M.
This paper thematically analyzes blockchain and AI applications in sustainable finance, mapping research trends around green bonds, ESG assessment, and transparency. It offers a foundational overview of how these technologies shape sustaina…
Peer-reviewed🇨🇳 ChinaJournalResources Conservation and Recycling2026#AI × ESGDOI
From pollution control to system governance: five decades of environmental policy evolution in China
Xingjun Ru, Yingying Lu, Shaofeng Chen +1
This study analyzes 3,460 Chinese central environmental policy documents (1978–2025) using an integrated computational framework combining LLM-based semantic enhancement, dynamic topic modeling, and multi-layer validation. It traces five cu…
Peer-reviewed🌍 GlobalJournalJournal of risk and financial management2026#AI × ESGDOI
Do AI and Lexicon-Based ESG Scores Converge? Evidence from IPO Prospectuses in an Emerging Market
M. A. F. Singh, Navjit Singh, Vikas Sharma +1
Using 625 Indian IPO prospectuses (2018-2024), this study examines construct alignment between LLM-generated and lexicon-based ESG scores. Methods converge for environmental disclosure (κ=0.56) but diverge for social and governance, with on…
