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 10141–10160 of 17042 papers

Peer-reviewedJournalThe International Journal of Life Cycle Assessment2026#Carbon AccountingDOI

From corporate greenhouse gas inventories to design-relevant LCAs: an integrated framework for industrial decarbonization

Upendra Arjeewani Weerathunga Don Merenchige, Bin Wang, S. Ji

This paper proposes an integrated framework linking corporate GHG inventories to design-relevant life cycle assessments (LCAs), aiming to bridge the gap between corporate reporting and product-level decarbonization strategies. It provides a…

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Peer-reviewedCNJournalSustainability Accounting, Management and Policy Journal2026#ESGDOI

Greenwashing or brownwashing? The impact of fintech on corporate strategic ESG behaviour – evidence from listed companies in China

Ruibing Ji, Shengling Zhang, Wei Dou +1

This study examines how fintech affects corporate strategic ESG behavior (CSB), defined as inconsistencies between ESG disclosure and actual practices including greenwashing and brownwashing. Using panel data from Chinese A-share listed fir…

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Peer-reviewedCNJournalCorporate Social Responsibility and Environmental Management2026#Transition FinanceDOI

“Haste Makes Waste” in the Green Transition: Corporate Transition Speed, Leverage Buildup, and Default Risk in Emerging Markets

Qing Wang, Shuyang Wen, Manlu Yang

Using Chinese A-share firms (2008-2022), we show that faster green transition predicts higher financial fragility, measured by lower Z-scores and distance-to-default. The effect operates through leverage buildup and higher volatility. Discl…

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Peer-reviewedJournalInternational Journal of Environmental Science and Technology2026#HydrogenDOI

Eco-friendly technique to use the brine to produce hydrogen/oxygen for climate change resilience and preserve the environment

H. F. Abd-Elhamid, M. H. Attia, M. Zeleňáková +3

This paper proposes an eco-friendly technique to produce hydrogen and oxygen from brine, aiming to enhance climate change resilience and environmental protection. Although specific findings are not detailed, it explores a sustainable method…

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Peer-reviewedJournalInternational Journal of Multidisciplinary Research and Growth Evaluation2026#HydrogenDOI

Environmental Sustainability and Regulatory Compliance Modelling for Bio-Nano Catalyst-Integrated Offshore Hydrogen Production

Nwaonah Obinna Michael

This study develops a techno-economic optimization framework for offshore hydrogen production using bio-nano catalysts. It achieves electrolysis efficiency exceeding 70% and hydrogen costs of $2.5–$4.5/kg, with modular scalability. Environm…

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Peer-reviewedJournalInternational Journal of Energy Research2026#HydrogenDOI

Harnessing Solar Energy for Electricity Generation and Green Hydrogen Production: A Sustainable Pathway for Low‐Carbon Transportation in Gaza

Mohamed Elnaggar, Wael A. Salah, H. El-khozondar +8

This study assesses the feasibility of coupling PV generation with PEM electrolysis for green hydrogen production in Gaza. Systems of 10, 50, and 100 kW can produce up to 2631 kg of hydrogen annually and mitigate over 31 tonnes of CO2 per y…

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Peer-reviewedJournalScientific Reports2026#HydrogenDOI

Tokenized market learning-based transaction scheduling for hydrogen-carbon chemistry consortium-based green energy communities with stakeholder welfare and sustainable transportation.

S. Seyedshenava, Peyman Zare, Amir Mohammadian

This paper proposes a transaction scheduling method using tokenized market learning for hydrogen-carbon chemistry consortium-based green energy communities, considering stakeholder welfare and sustainable transportation.

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