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 15321–15340 of 19667 papers

Peer-reviewed🇪🇺 EuropeJournalEnergy Policy2026#Energy TransitionDOI

Combined simulation and optimization framework to quantify the impact of policy tools in agents’ decision making in the transition towards a low carbon energy system

Manuel Sánchez Dieguez, Klara Schure, Robert Koelemeijer +2

This paper presents IESA, a hybrid simulation-optimization framework that combines agent-based modeling with cost optimization to evaluate low-carbon policy instruments. Applied to the Netherlands, it shows that while renewables diffuse und…

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Peer-reviewed🇨🇳 ChinaJournalApplied Economics Letters2026#Carbon AccountingDOI

Key audit matter related to low-carbon transformation and firms’ catering behaviour in carbon information disclosure: evidence from China

Ningning Xu, Yì Wáng, Fenglan Liang

This paper empirically examines how key audit matters (KAMs) related to low-carbon transformation influence firms' catering behavior in carbon information disclosure, using Chinese data. It finds that KAMs affect disclosure quality and quan…

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Peer-reviewed🌍 GlobalJournalMineral Economics2026#Scope 3DOI

Correction to: Advancing a low-carbon future: Impacts of renewable energy, finance, and natural resources on consumption-based carbon in emerging markets

Brahim Bergougui, Ahmed Samour, Stephen Kelechi Dimnwobi

This study examines the impacts of renewable energy, financial development, and natural resources on consumption-based carbon emissions in emerging markets. Empirical results suggest renewable energy reduces emissions, while natural resourc…

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🌍 GlobalJournalAdvances in computational intelligence and robotics book series2026#Supply ChainDOI

Economic Signals and Artificial Intelligence for Sustainable Transport and Low-Carbon Logistics Systems

Turdiev Abdullo Sagdullaevich, S. Aarthi, R. N. Ravikumar +2

This chapter proposes a framework combining economic indicators and AI to decarbonize transport and logistics. Based on case studies, it shows that AI optimization paired with emissions-based pricing and incentives can enhance supply chain …

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Peer-reviewedJournalInternational Journal of Innovative Science and Research Technology (IJISRT)2026#OtherDOI

Circular Construction Materials for Low-Carbon Housing in Nigeria Based on Systematic Evidence

Tajudeen Olawale AJAYI, Opeyemi Titi DARAMOLA, Olamide Victor Ojo

This systematic review and meta-synthesis examines circular construction materials for low-carbon housing in Nigeria. Analyzing 45 peer-reviewed studies, it finds that earth-based materials, recycled aggregates, and low-carbon cement altern…

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Peer-reviewedJournalChemical Engineering and Processing - Process Intensification2026#Energy TransitionDOI

Strategic planning for low-carbon power systems incorporating small modular reactors

Héctor Quiroga-Barriga, César Ramírez-Márquez, José María Ponce‐Ortega

This paper examines the role of small modular reactors (SMRs) in strategic planning for low-carbon power systems. It analyzes grid integration challenges and policy implications, positioning SMRs as flexible and cost-effective low-carbon so…

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Peer-reviewed🇨🇳 ChinaJournalOcean Engineering2026#Energy TransitionDOI

Low-carbon path planning for inland vessels using a novel FMORL framework

Xianyu Hou, Langxiong Gan, Lei Zhang +3

This study proposes a novel multi-objective reinforcement learning framework (FMORL) for low-carbon path planning of inland vessels. It optimizes routes to minimize CO2 emissions while considering trade-offs with operational costs and time.…

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