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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Topic: #Policy (clear)

Showing 321–340 of 1641 papers

Peer-reviewed🇨🇳 ChinaJournalFrontiers in Marine Science2026#PolicyDOI

Difficulties and responses in applying the principle of common but differentiated responsibilities to carbon emission reduction in high seas fisheries

Linghao Meng, Mengjing Xu

This study examines the application of the common but differentiated responsibilities (CBDR) principle to carbon emission reduction in high seas fisheries, where no unified international framework exists. It justifies shared and differentia…

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Peer-reviewed🌍 GlobalJournalPolitical Studies Review2026#PolicyDOI

Perception versus practice: Using neoclassical realism to analyse states’ ‘dual perceptions’ of fossil fuel, and the dilemma of climate change mitigation in a world of uncertainty

Michael Nchango, Dilek Latif

This study analyzes the 'dual perception' of fossil fuels as strategic assets and environmental liabilities among major emitters (China, US, India, Russia) using neoclassical realism. Combining qualitative analysis of leaders' speeches with…

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Peer-reviewed🌍 GlobalJournalEmission Control Science and Technology2026#PolicyDOI

Pollutant Adaptive Forecasting of India’s Greenhouse Gas and Air Pollutant Emissions Using Bayesian Dynamic Regression and Conformal Prediction

Ravikiran Chintalapudi, Dadhu Venkata Raghunatha Reddy, Gangadhara Rao Ponugoti +4

Develops a framework for forecasting India's CH4, CO2, N2O, NOx, and PM2.5 emissions using EDGAR data and covariates. Selects optimal model per pollutant and applies conformal prediction for uncertainty. Projects 37.96% CO2 increase from 20…

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