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 14981–15000 of 30556 papers

Peer-reviewedJournalResearch in Transportation Business & Management2026#AI × ESGDOI

Moving towards a low-carbon future: Green technology innovation drives the low-carbon transformation of the logistics industry - based on panel data and machine learning analysis

Chengji Liang, Yantao Li, Jianquan Guo

This paper analyzes the effect of green technology innovation on low-carbon transformation in the logistics industry using panel data and machine learning. Findings indicate that specific technologies significantly contribute to emissions r…

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🇨🇳 ChinaDatasetZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI

Dataset and code for "Concentrated carbon debt erodes hydropower's low-carbon credentials under grid decarbonization"

Naifu Deng, Qinglong Zhang, K E Yang

This paper provides a dataset and code demonstrating that concentrated carbon debt from hydropower reservoirs reduces the climate benefits of hydropower as grid decarbonization advances. It highlights that carbon debt, including methane emi…

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Peer-reviewed🇨🇳 ChinaJournalSustainable Futures2026#Energy TransitionDOI

Intelligentization and greenization policies empowering the low-carbon transition of carbon-intensive enterprises: Evidence from smart city and low-carbon city pilots

Weibo Jin, Mengting Zhang, Shuangying Wang - +1

Using panel data of Chinese listed carbon-intensive firms (2013-2023), this study shows that smart city and low-carbon city pilots significantly reduce CO2 emissions and intensity through improving eco-finance and innovation coupling. The p…

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Peer-reviewedJournalSustainability2026#Energy EfficiencyDOI

Energy–Carbon Trade-Offs of Windcatcher Integration in a High-Thermal-Mass Courtyard House: A Combined EnergyPlus and CFD-Based Assessment in a Hot–Arid Climate

Mohammad Ahmad Hussein Khataybeh, Alpay Akgüç, Dilek Yaşar

This study assesses the energy and carbon implications of integrating a windcatcher into a high-thermal-mass courtyard house in a hot-arid climate. Using EnergyPlus and CFD, scenarios varied operation, geometry, and materials. Results showe…

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Peer-reviewed🇨🇳 ChinaJournalIEEJ Transactions on Electrical and Electronic Engineering2026#Carbon PricingDOI

Planning Method for Multi‐Energy System Considering Source‐Load Multiple Uncertainties and Collaboration Between Carbon Emission Allowance and Green Certificate Trading

Zedi Wang, Xiao Wang, Xifeng Guo +1

This paper proposes a fuzzy planning model for multi-energy systems with hydrogen production, considering source-load uncertainties and collaborative trading of carbon emission allowances and green certificates. Case studies on combined pow…

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🌍 GlobalJournalLondon School of Economics and Political Science Research Online (London School of Economics and Political Science)2026#Transition FinanceDOI

Mainstreaming just transition finance: lessons from emerging best practice

Judith Tyson, Arka Chanda

This policy brief synthesizes findings on just transition finance, highlighting the lack of a robust business case as a key gap. It calls for policy leadership to set baselines and expectations, and provides recommendations for policymakers…

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Peer-reviewedJournal2026#AI × ESGDOI

AI-Enhanced Governance for ESG Reporting Integrity: A Sector- Specific Framework Balancing Algorithmic Detection and Human Judgment AI-Enhanced Governance for ESG Reporting Integrity: A Sector- Specific Framework Balancing Algorithmic Detection and Human Judgment

Mohsin Khan¹, Wendy Ashurst²

This paper proposes an AI-enhanced governance framework to improve ESG reporting integrity. It balances algorithmic detection with human judgment in a sector-specific manner, aiming to reduce greenwashing and enhance disclosure quality.

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Peer-reviewed🌍 GlobalJournalInternational Journal of Social Science and Human Research2026#circular_economyDOI

Sustainable Urban Policies Through Zero Waste and Circular Economy Strategies: An Integrated Framework from International Climate Commitments to Local Action

Dr. Özge TENLİK

This paper proposes an integrated framework embedding zero waste and circular economy strategies into sustainable urban policies, linking international climate commitments (Paris Agreement, SDGs) to local action. It emphasizes multi-level g…

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Peer-reviewedJournalRegiones y desarrollo sustentable.2026#Renewable EnergyDOI

Percepción social de un proyecto mini hidroeléctrico y su relación con la sustentabilidad energética en Santa María Jalapa del Marqués, Oaxaca, México

Aldrin Yohel García-Juárez, Alan de Jesús Jiménez-Velázquez, Adán Acosta-Banda

This study analyzes social and environmental perceptions of a proposed mini-hydro plant in Oaxaca, Mexico. Using surveys and interviews with 141 residents, it finds limited technical knowledge of renewable energy but generally positive atti…

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