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.

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Showing 5101–5120 of 31885 papers

Peer-reviewedJournalJournal of the Institute of Science and Technology2022#Energy EfficiencyDOI

Reducing Energy Use and Greenhouse Gas Emissions in Greenhouse Tomato Production with Input Optimization Approach: The Case of Antalya Province

Şahin K.

This study evaluates the potential for reducing energy consumption and GHG emissions through input optimization in greenhouse tomato production in Antalya, Turkey. Using data envelopment analysis, it identifies inefficiencies and suggests i…

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Peer-reviewed🌍 GlobalJournalRisks2026#AI × ESGDOI

Predicting Credit Risk with ESG Factors Using XGBoost and Structural Learning in Vague Environments (SLAVE) in Commercial Banks

Jamil J. Jaber, A. A. Alkhawaldeh, Qusay Ayman Sulayman Mazahreh +3

This study predicts credit risk in commercial banks using machine learning (XGBoost) and a fuzzy rule-based model (SLAVE) on panel data from 40 banks across seven Middle Eastern countries (2014-2023). Regression results show profitability a…

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Peer-reviewed🌍 GlobalJournalTürkiye Mesleki ve Sosyal Bilimler Dergisi2026#AI × ESGDOI

Climate Anxiety Disclosures and Investor Behavior: Examining the Accounting Consequences of Voluntary Eco-Psychological Reporting

Amel Mahmood Ali Alobaidi

This study examines the impact of voluntary climate anxiety disclosure on investor behavior using mixed methods: textual analysis, archival data, and experiments. Disclosure significantly predicts investor behavior, moderated by firm size a…

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Peer-reviewedJournalICEETE Conference Series2026#Carbon AccountingDOI

The Role of Environmental Accounting and Carbon Emission Disclosure in Supporting Sustainable Transportation in Indonesia

Septiyani Putri Astutik, T. Trisanti, Atika Jauharia Hatta

This qualitative literature review of 54 articles examines the role of environmental accounting and carbon emission disclosure in Indonesia's transportation sector. It finds that environmental accounting helps identify environmental costs a…

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Peer-reviewedJournalE3S Web of Conferences2026#OtherDOI

The “Cage-and-Fiber” Mechanistic Model: Synergistic Sorption Kinetics of Hybrid Corn Cob–Peat Moss Lignocellulosics in Emulsified Oil-Water Matrices

Ireneo G. Mateo, Ben Angelo S. Casaclang, Lizzee Joy L. Lopez +2

This study demonstrates that a 75:25 hybrid of corn cob and peat moss achieves high oil recovery efficiency (92.4%) for maritime oil spill remediation. It proposes a novel 'Cage-and-Fiber' model explaining the synergistic effect of porous a…

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