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 15461–15480 of 19738 papers

CNDatasetZenodo (CERN European Organization for Nuclear Research)2026#HydrogenDOI

Data and code related to the manuscript "Climate-Driven Electricity-Hydrogen Networking Accelerates Cost-Competitive Carbon Neutrality in Chinese Cities"

Zhongfan Gu

This dataset accompanies a manuscript showing that climate-driven electricity-hydrogen networking can accelerate cost-competitive carbon neutrality in Chinese cities. It provides modeling data for integrating hydrogen infrastructure with re…

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Peer-reviewedJournalWorld Development Sustainability2026#Climate ScienceDOI

Africa's carbon emissions: Probing the economic determinants, forecasting and proposing a roadmap towards carbon neutrality using a machine learning algorithm

Ebenezer Appiah, Na Song, Isaac Appiah-Otoo +3

This paper uses machine learning to analyze economic determinants of Africa's carbon emissions, forecasts future trends, and proposes a roadmap toward carbon neutrality. It models Africa's unique economic structures and emission patterns.

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Peer-reviewed🌍 GlobalJournalProduction Engineering Archives2026#Energy TransitionDOI

Exploring the linkage between digital transformation, green innovation, and carbon neutrality: Implications for business sustainability

Ashish Dwivedi, Vipulesh Shardeo, Anchal Patil +2

Using the TOE framework and Grey Ordinal Priority Approach, this study identifies 16 critical factors for integrating digital transformation, green innovation, and carbon neutrality. Based on expert inputs, top factors are digital orientati…

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Peer-reviewed🌍 GlobalJournalKorea International Trade Research Institute2026#Energy TransitionDOI

A Study on the Carbon Emission Reduction Effects of Trade in Low-Carbon Technology Using the AMG Estimator: Considering Cross-sectional Dependency and Heterogeneity in Country Panel

Soo-Min Hong, Su-Han Woo

This study analyzes the heterogeneous effects of trade in low-carbon technology (LCT) products on carbon emissions in the transportation sector using a 24-year panel of 188 countries and AMG estimators. LCT exports reduce emissions while im…

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