gxceed
GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 61–80 of 1384 papers

🌍 GlobalPreprintSSRN2026#Carbon Accounting

The Missing Chain of Evidence in Forest Carbon Credits

vyom parashar

Forest carbon credits lack a direct chain of evidence linking specific trees to specific credits, unlike other financial instruments. They rely on calculations and models, creating a gap that courts are beginning to question. This undermine…

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🌍 Global📚 Peer-reviewed · JournalInternational Journal of Aquatic Research and Environmental Studies2026#Transition FinanceDOI

The Governance Black Box Of Climate Finance Verification Firms

Harikrishnan S, Dr. Mukul Saxena

This paper examines the governance of climate-finance verification firms, analyzing 78 public documents. It finds that verification involves methodological discretion, reliance on issuer-provided information, and lacks accountability. Verif…

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🇪🇺 Europe📚 Peer-reviewed · JournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon AccountingDOI

D6.2 SOIL HEALTH CERTIFICATION IN THE CARBON FARMING FRAMEWORK

Chiara De Notaris

This deliverable proposes integrating soil health indicators into the EU Carbon Farming Certification Framework using a multi-indicator approach combining physical, chemical, and biological metrics. It identifies the Observed/Typical SOC in…

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🌍 Global📚 Peer-reviewed · JournalZenodo (CERN European Organization for Nuclear Research)2026#Renewable EnergyDOI

A Review Paper On Renewable Energy Sources

Prof.H.S Bhore, Mr. Chaitanya Sapkal, Mr. Chaitanya Sapkal +6

This review paper outlines the importance of renewable energy sources such as solar, wind, hydropower, biomass, and geothermal in achieving sustainable development and reducing greenhouse gas emissions. It discusses applications in power ge…

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🌍 Global📚 Peer-reviewed · JournalInternational Journal of Advanced Biochemistry Research2026#CCUSDOI

Production and utilization of biochar: A comprehensive review

Avantika Thakur, Mansi Nautiyal, Sharad Pandey

This review comprehensively covers biochar production methods (pyrolysis, gasification, hydrothermal carbonization, torrefaction) and its applications in agriculture, environmental management, climate change mitigation, and energy. Biochar …

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🌍 Global📚 Peer-reviewed · JournalEnvironmental Engineering Research2026#AI × ESGDOI

AI applications in air pollution domain: A systematic review from flue gas treatment to air quality management and carbon capture

SangYoun Kim, T. Woo, Usama Ali +8

This systematic review of 906 publications (2016-2025) categorizes AI applications into flue gas treatment, air quality management, and CO2 capture. It identifies a shift from traditional monitoring to AI-driven surrogate modeling and gener…

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🌍 Global📚 Peer-reviewed · JournalCorporate Social Responsibility and Environmental Management2026#AI × ESGDOI

Mapping Corporate Environment, Social, and Governance Discourses: Analysis of Korean Companies' Sustainability Reports (2014–2024)

Taedong Lee, Sinjae Kang, D. Utami +1

This study analyzes 634 sustainability reports (2014-2024) from the top 200 Korean firms using Structural Topic Modeling (STM). It identifies 13 topics and a phased shift: CSR and basic environmental management (2014-2018); workplace safety…

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🌍 GlobalConferenceInternational Conference Intelligent Data Communication Technologies and Internet Things2026#AI × ESGDOI

Greenwashing Detection in ESG Reporting: Sectoral Insights and Machine Learning Model

Manav Gangar, Nikhil D'Souza, Rishika Kapasi +2

This paper proposes a machine learning framework for detecting greenwashing by combining supervised classification and unsupervised anomaly detection. It introduces a Greenwashing Discrepancy Score (GDS) to quantify the mismatch between fir…

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