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 181–200 of 32968 papers

Peer-reviewedCNConferenceConference Proceedings of the 14th International Symposium on Project Management Ispm 20262026#Carbon PricingDOI

The Influence of Carbon Emission Trading Mechanisms on Urban Green Growth: An Empirical Investigation via Multi-Path Mediation Modeling

Chen S.

An empirical study analyzing how carbon emission trading mechanisms affect urban green growth using a multi-path mediation model. It examines the channels (e.g., innovation, industrial structure, energy efficiency) through which emissions t…

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Peer-reviewedJournalEnvironmental Monitoring and Assessment2022#Climate ScienceDOI

Analyzing the role of in situ coal fire in greenhouse gases emission in a coalfield using remote sensing data and their dispersion and source apportionment study

Swarup Biswal S.

This study uses remote sensing data to assess how in situ coal fires in a coalfield contribute to greenhouse gas emissions, and analyzes the dispersion and source apportionment of those emissions. It offers a method to quantify an often-ove…

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Peer-reviewed🌍 GlobalJournalInternational Journal of Climate Change Strategies and Management2026#Renewable EnergyDOI

Unlocking wind energy potential in data-scarce regions: a deep learning framework for strategic climate action in Vietnam’s Central Highlands

Do Quang Linh, Dung Duc Tran, A. Dang

This study develops a deep learning framework integrating 11 global climate models with sparse station observations to produce a high-resolution wind energy map for Vietnam's data-scarce Central Highlands. CNN and XGBoost outperformed tradi…

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CN2026#ESGDOI

The Impact of ESG Rating Divergence on M&A Premium

Cheng-Ze Li

Using Chinese A-share listed firms (2009–2024), this study shows that greater ESG rating disagreement at the target level significantly suppresses acquisition premiums. Two channels drive this: financing constraints and agency costs, as div…

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