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 481–500 of 1326 papers

🌍 Global📚 Peer-reviewed · JournalEnvironmental Research Communications2022#ESGDOI

Bibliometric analysis and systematic review of environmental, social, and governance disclosure papers: Current topics and recommendations for future research

Ellili N.O.D.

This paper conducts a bibliometric analysis and systematic review of ESG disclosure literature, identifying current key topics and proposing future research directions. It contributes to mapping the research landscape and pinpointing gaps, …

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🌍 Global📚 Peer-reviewed · JournalJournal of Environmental Management2022#PolicyDOI

Adopting net-zero in emerging economies

Virmani N.

This paper analyzes the adoption of net-zero targets in emerging economies, highlighting policy, finance, and technology challenges. It compares with developed countries to identify unique barriers and opportunities for decarbonization in t…

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🌍 Global📚 Peer-reviewed · JournalEnergy and Climate Change2021#Energy TransitionDOI

The role of the power sector in net-zero energy systems

Bistline J.E.T.

This paper examines the critical role of the power sector in achieving net-zero energy systems. It discusses strategies for decarbonizing electricity generation, grid integration of renewables, and the importance of flexibility and storage.…

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🌍 Global📚 Peer-reviewed · JournalAdvances in Economics, Management and Political Sciences2026#Supply ChainDOI

From ESG Finance to Supply Chain Governability: Mechanistic Barriers and Corrective Pathways in Sustainable Corporate Supply Chains

Wenduan Zhao

This article examines why ESG finance fails to translate into effective supply-chain governance. It analyzes four issues: information identification, financing incentives, green innovation absorption, and transmission across multi-tier chai…

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CN📚 Peer-reviewed · JournalSustainability2026#HydrogenDOI

Sustainable Operation of Wind–Solar–Hydrogen-Integrated Energy Systems Considering Lifetime Degradation: Hybrid Electrolyzer Power Allocation and Array Rotation Strategies

Liye Ma, Kangle Yan, Shisheng Bai +1

This paper proposes a hybrid AEL-PEM electrolyzer power allocation and array rotation strategy that accounts for efficiency degradation and lifetime degradation under variable renewable inputs. Using a MILP model, it minimizes operation and…

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🇨🇳 China📚 Peer-reviewed · JournalJournal of Global Information Management2026#Energy TransitionDOI

Managing International Climate Mitigation Actions

Zheng Li, B Lin

This study evaluates the Kyoto Protocol's impact on clean energy transition using a panel DID approach. It finds a significant increase of about 3 percentage points in Annex B countries relative to non-Annex B. Channels include electricity …

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CN📚 Peer-reviewed · JournalACS Sustainable Chemistry & Engineering2026#Energy TransitionDOI

Perfluoropivalonitrile as a Promising Eco-Friendly Dielectric Compound to Replace the Most Potent Greenhouse Gas SF <sub>6</sub>

Xiaoyi Hu, Mi Zhang, Hua Hou +1

This paper proposes perfluoropivalonitrile as an eco-friendly dielectric compound to replace the potent greenhouse gas SF6 in electrical insulation. It offers a lower global warming potential and shows potential for practical performance.

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🌍 Global📚 Peer-reviewed · JournalMitigation and Adaptation Strategies for Global Change2026#PolicyDOI

Climate ambition explained: key indicators and net-zero target projections using machine learning

Michel G.J. den Elzen, Stephan C.J. Weenk, Leonardo Nascimento +4

This study uses machine learning to analyze indicators of national climate ambition in 2030 emissions targets and net-zero pledges. Key indicators include GHG emissions per capita, renewable energy share, hard-to-abate sector emissions, ene…

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