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 3381–3400 of 26757 papers

Peer-reviewed🌍 GlobalJournalFinancial and credit activity problems of theory and practice2026#ESGDOI

ESG PRACTICES AS AN INSTRUMENT FOR ENSURING BALANCED DEVELOPMENT OF HOSPITALITY INDUSTRY ENTERPRISES

T. Zubekhina, L. Matviichuk, Yuliia Sheiko +2

This study introduces the ESG Balance Index (EBI), a novel measure of proportionality across the three ESG pillars based on normalized Euclidean distance from the disclosure simplex centroid. Using ESRS-coded content analysis of 300 firm-ye…

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CNConferenceProceedings of the 3rd International Conference on Machine Intelligence and Digital Applications2026#AI × ESGDOI

Research on Interpretable Machine Learning Model for Financial Distress Early Warning Integrating ESG Features

(著者不明)

This paper proposes a hybrid ML framework fusing financial indicators with ESG scores, carbon intensity, firm size and audit opinions to predict financial distress among Chinese listed firms. Using XGBoost and Random Forest with oversamplin…

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Peer-reviewed🌍 GlobalJournalJournal of Agricultural Sciences2026#agricultureDOI

Methane Reduction in Livestock: Meta-Analytical Insights into the Efficacy, Safety, and Feasibility of 3-Nitrooxypropanol and Asparagopsis Supplements

(著者不明)

A meta-analysis comparing two feed additives for reducing enteric methane in ruminant livestock. 3-NOP consistently cuts CH4 by ~30% with a favorable safety and regulatory profile, making it scalable. Asparagopsis can reduce methane by over…

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CNConferenceProceedings of the 3rd International Conference on Machine Intelligence and Digital Applications2026#AI × ESGDOI

Design of a Supply Chain Carbon Emission Decision System Based on Multi-source Feature Fusion and Strategy Optimization

(著者不明)

A modular decision system fuses heterogeneous supply-chain data, applies two-stage emission estimation with time-series residual correction, and solves constrained multi-objective optimization for carbon strategy. On 21,000+ enterprise even…

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