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 8921–8940 of 32865 papers

Preprint🌍 GlobalEarthArXiv2026#Climate ScienceDOI

A satellite blind spot masks crop residue burning across northern India

van der Velde. Ivar Roderick, Patel. Piyushkumar N., Gautam, Ritesh +3

Crop residue burning in northern India is a major air pollution source, but satellite fire detections have declined while pollution persists. Combining 8 years of satellite, ground, and model data, this study reveals that fires occurring ou…

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Peer-reviewedJournalGeojournal of Tourism and Geosites2026#PolicyDOI

A DYNAMIC CAUSAL MODELLING FRAMEWORK FOR PRIORITISING GREENHOUSE GAS EMISSION REDUCTION STRATEGIES IN AGRO-TOURISM LAND USE AND SUSTAINABLE TERRITORIAL DEVELOPMENT IN THAILAND

Bussagorn LEEJOEIWARA, Nathaporn PHONG-A-RAN, Chaiyan JUNSIRI

This study develops a PA-Probit-G model to prioritize causal factors for GHG reduction strategies in Thai agritourism land use. Socio-cultural factors, including urban culture rate and stakeholder acceptance, are most influential. Urgent go…

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Peer-reviewedJournalScientific Reports2026#Climate RiskDOI

Harnessing geospatial and machine learning technologies to simulate ecosystem services and greenhouse gas emissions in a dynamic watershed system of Haramaya Lake, Ethiopia

Gemechis B. Mosisa, James Akuku, Abel Mwembe +5

This study simulates ecosystem services and greenhouse gas emissions in the Haramaya Lake watershed, Ethiopia, using geospatial and machine learning techniques. It assesses the impacts of land-use change on ecosystems and climate, offering …

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Peer-reviewed🌍 GlobalJournalINTERNATIONAL JOURNAL OF SOCIAL SCIENCES AND MANAGEMENT RESEARCH2026#Energy TransitionDOI

Energy Consumption as a Driver of Greenhouse Gas Emissions: Evidence from Nigeria

Ogbonnaya Chukwuemeka Micheal

Using Nigerian data from 1990-2024, this study applies a SUR model to analyze the impact of energy consumption on GHG emissions. Oil and electricity consumption significantly increase emissions, while natural gas has an insignificant effect…

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Peer-reviewed🇪🇺 EuropeJournalNature Climate Change2026#PolicyDOI

Empirical insights into residual emissions in urban net-zero targets

Giulia Ulpiani, Quirina Rodriguez Mendez, Valeria Todeschi +6

Analyzes residual emissions strategies of 103 European cities targeting net zero by 2030. Total residual emissions are 61.4 MtCO2e, mainly from buildings and transport. Develops a robustness index for compensation strategies, finding medium…

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Peer-reviewedJournalFuel2026#Energy TransitionDOI

A decarbonization pathway based on a biogas-fueled multigeneration system with ammonia as an energy carrier: Techno-economic analysis and machine learning optimization

Abdul Khaliq, Naeim Farouk, M Nadeem Khan +7

This paper proposes a decarbonization pathway based on a biogas-fueled multigeneration system with ammonia as an energy carrier, conducting techno-economic analysis and machine learning optimization. It evaluates the feasibility and economi…

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Peer-reviewedConferenceInternational Conference on the European Energy Market Eem2024#Energy TransitionDOI

A Novel Order Type for Storage Units in Day-Ahead Electricity Auctions

Csercsik D.

This paper proposes a novel order type for storage units in day-ahead electricity auctions, aiming to better integrate renewable energy and enhance grid stability. While the abstract is unavailable, the focus on market design for storage su…

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Peer-reviewedJournalJournal of Sustainable Development of Energy Water and Environment Systems2013#Energy TransitionDOI

Potential of demand side management to reduce carbon dioxide emissions associated with the operation of heat pumps

Cooper S.J.G.

This paper evaluates the potential of demand side management (DSM) in heat pump operation to reduce CO2 emissions. By shifting electricity demand over time, it can optimize renewable energy use and reduce grid carbon intensity. It highlight…

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