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 14661–14680 of 19419 papers

Peer-reviewed🇪🇺 EuropeJournalTransfer: European Review of Labour and Research2026#PolicyDOI

How can trade unions act strategically in response to decarbonisation? Union strategic capacity and automotive transition policies in Germany, Spain and the UK

Benjamin Crawford, Marion Dumas, Fergus Green +2

This paper analyzes trade unions' strategic capacity in response to internal combustion engine phase-out policies, based on case studies in Germany, Spain, and the UK. It highlights how unions must simultaneously address climate, industrial…

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Peer-reviewedJournalInternational Sustainable Energy Conference - Proceedings2026#Energy TransitionDOI

Industrial Electrification Potential for Decarbonization in Quebec

Soseh Zadoorian, Omar Mostafa, Etienne Bernier +1

This study assesses the electrification potential of 13 energy-intensive industrial sub-sectors in Quebec using a bottom-up analysis of fossil fuel consumption and electro-technology applicability. Low- and medium-temperature processes show…

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Peer-reviewedJournalNature Food2026#Climate ScienceDOI

Counting ozone reveals larger gains of decarbonization

Qinan Lu

This study shows that when ozone reduction benefits are counted alongside carbon reductions, the net gains from decarbonization are significantly larger than previously estimated. By quantifying air quality co-benefits, it strengthens the e…

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🌍 GlobalDatasetZenodo2026#HydrogenDOI

Regionalized dataset for historical hydrogen production and use

Campos-Rodríguez, Juan Manuel, Capellán-Pérez, Iñigo, Trapani, Davide +6

This open dataset provides annual hydrogen production by process and sectoral consumption for 36 global regions from 2005 to 2023. It supports energy system models and integrated assessment models (IAMs) in analyzing hydrogen-based transiti…

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Preprint🌍 GlobalZenodo2026#PolicyDOI

Global Status Report for Buildings and Construction 2025–2026: As climate risks rise and cities grow, we must rethink how we build to create better lives for all

Hamilton, Ian, Kennard, Harry, Hsu, Shih-Che +16

The 2025/2026 Global Status Report for Buildings and Construction finds the sector accounts for 37% of global emissions and nearly 50% of material extraction, remaining off track for Paris Agreement goals. It benchmarks progress in building…

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Peer-reviewed🌍 GlobalJournalJournal of Business and Socio-economic Development2026#ESGDOI

Unpacking the link between ESG disclosure and firm performance in emerging economies

Bahaa Subhi Awwad, Najwan Ibrahim Jadallah, Udo Christian Braendle

This study examines ESG disclosure and firm performance for listed firms in Palestine and Jordan (2015-2024). Overall ESG disclosure positively correlates with ROA and Tobin's Q. Environmental and social disclosures have mixed effects, whil…

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Peer-reviewedCNJournalAsian Journal of Water, Environment and Pollution2026#Climate ScienceDOI

Unraveling urban greenhouse gas variability in Hefei: Integrating anthropogenic, biogenic, and transport controls on carbon dioxide and methane

Dandan Liu, Xiangyuan Liu, Ke Tang +1

This study analyzes long-term XCO2 and XCH4 variability in Hefei using satellite, ground, and modeling data. XCO2 growth rate (2.41 ppm/yr) exceeds global average, with a seasonal peak in autumn. Strong anthropogenic combustion influence in…

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Peer-reviewed🌍 GlobalJournalApplied Mathematical Finance2026#Carbon PricingDOI

Multi-Agent Reinforcement Learning for Greenhouse Gas Offset Credit Markets

Liam Welsh, Udit Grover, Sebastian Jaimungal

This paper proposes a multi-agent reinforcement learning model to optimize trading strategies in greenhouse gas offset credit markets. It simulates interactions among market participants and analyzes carbon price formation and credit distri…

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Peer-reviewed🇪🇺 EuropeJournalEnergies2026#HydrogenDOI

Driving Decarbonization: A Life Cycle Assessment of Road Freight Transport Using Locally Produced Green Hydrogen in The Netherlands

Ruben van den Berg, Daniël Bakker, Coen van der Giesen +2

This study performs a life cycle assessment of four truck types (FCEV, HICEV, BEV, diesel) for road freight transport in the Netherlands, comparing locally produced green hydrogen, electricity, and diesel. It finds that FCEV and HICEV achie…

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Peer-reviewedJournalEnvironmental Progress & Sustainable Energy2026#HydrogenDOI

Machine learning–assisted multi‐objective optimization of hydrogen‐integrated nanoparticle biodiesel blends for sustainable diesel engine decarbonization

Kaushal Rajput, Osama Khan

This study optimizes biodiesel blends from Pontederia crassipes with hydrogen and nanoparticles for diesel engines using ANN-k means clustering. Titanium dioxide emerged as the best nanoparticle, achieving 33% brake thermal efficiency, 240 …

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