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 401–420 of 1614 papers

CNConferenceProceedings of the 2026 International Conference on Artificial Intelligence and Fintech2026#Supply ChainDOI

Supply-Chain Carbon Risk Exposure and Downstream Firms’ Low-Carbon Transition under China's Emissions Trading Scheme

Lin Sun, Jun Zeng

This paper reframes ETS-driven supply-chain carbon risk transmission as an AI decision-support problem. It proposes an end-to-end pipeline integrating a temporal supplier-buyer graph, NLP-based quantification of low-carbon clauses in procur…

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🌍 Global📚 Peer-reviewed · JournalBusiness Strategy and the Environment2026#Energy TransitionDOI

Recalibrating Climate Strategies: The Interplay of Green Energy, Digitalization, and Governance in Emissions Mitigation

Feng Wang, Tayyaba Rani, Asif Razzaq

This study examines the heterogeneous impacts of green energy transition, energy intensity, digitalization, and governance on carbon emissions across 25 developed countries from 1999 to 2024. Using fixed effects, MMQR, and CCE estimation, i…

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CN📚 Peer-reviewed · JournalCarbon Balance and Management2026#Carbon PricingDOI

Analysis of the effects and mechanisms of carbon emission trading policies on the risk-taking behavior of high-carbon enterprises

Jiali Tian, Zhipeng Wu, Jinwei WANG +3

This study analyzes the impact of China's carbon emissions trading scheme on risk-taking behavior of high-carbon enterprises using a difference-in-differences approach with panel data from 2008-2024. The policy significantly reduces risk-ta…

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

Relative Efficiency Analysis of Green Technology Innovation in Global Decarbonization: An Application of the CCR Data Envelopment Analysis Model

Dr. D. VIMAL KUMAR

This study uses a CCR DEA model to evaluate the efficiency of green technology innovation in global decarbonization across countries. Inputs include R&D expenditure, renewable energy patents, and clean energy investment; outputs are carbon …

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