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 24281–24300 of 36790 papers

Peer-reviewedCNJournalEngineering Applications of Artificial Intelligence2026#Carbon PricingDOI

Scale-aware dynamic fusion of textual and numerical information for carbon price forecasting in Chinese emissions trading markets

Rui Liu, Chaoyong Qin

This paper proposes a scale-aware dynamic fusion method that integrates textual and numerical information to improve carbon price forecasting in Chinese emissions trading markets. The method accounts for different data scales and demonstrat…

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Peer-reviewed🌍 GlobalJournalSocial Responsibility Journal2026#Carbon AccountingDOI

Relationship between carbon disclosure and carbon performance: the role of environmental exposure, environmental certification and environmental committee

Leo Themjung Makan, Navin Chettri, Kailash Chandra Kabra

This study examines the relationship between carbon disclosure and carbon performance using Fortune Global 500 data. It investigates moderating effects of environmental exposure, certification, and committee. Findings show a significant lin…

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Peer-reviewedJournalSustainability2026#ESGDOI

When Tax Avoidance Meets Sustainability: ESG Disclosure and Firms’ Cost of Debt

Nouran Nabil Abdelsalam Mahmoud Ellelly, Laila Aladwey, Abdelmoneim Bahyeldin Mohamed Metwally

This study examines the relationship between tax avoidance and cost of debt for non-financial firms in an emerging market, finding a positive association moderated by ESG disclosure. Higher ESG disclosure weakens the positive effect, implyi…

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Peer-reviewedCNJournalEuropean Journal of Agronomy2026#Climate ScienceDOI

Rice-animal co-culture synergistically enhances soil carbon-nitrogen sequestration while mitigating greenhouse gas intensity in Chinese paddy fields: A meta-analysis

Zheng Wei, Zhichen Long, Weijian Yuan +4

This meta-analysis of rice-animal co-culture (e.g., rice-fish, rice-duck) in Chinese paddy fields demonstrates synergistic enhancement of soil carbon and nitrogen sequestration while reducing greenhouse gas intensity. The findings support s…

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Peer-reviewed🌍 GlobalJournalEuropean Accounting Review2026#scope1DOI

Carbon disclosure and the cost of capital*

Patrick Bolton, Marcin Kacperczyk

Using a global cross-section of publicly listed firms, this study finds that voluntary disclosure of Scope 1 emissions predicts lower stock returns compared to non-disclosers. UK mandatory carbon disclosure rules reduced stock-level uncerta…

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Peer-reviewedJournalFUDMA Journal of Sciences2026#OtherDOI

Synthesis and Production of Activated Carbon from Sugarcane Bagasse for the Adsorptive Removal of Methylene Blue Dye from Wastewater

MOHAMMED ISAH KIMPA, Adamu Salahudeen Gene, STANLEY CHUKWUEBUKA UGOCHUKWU +5

This study synthesized activated carbon from sugarcane bagasse using sulfuric acid activation (ScBAC) and evaluated its capacity to remove methylene blue (MB) dye from wastewater. ScBAC exhibited a specific surface area of 254.6 m²/g and mi…

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Peer-reviewedJournalSustainable Chemistry One World2026#Carbon AccountingDOI

Urban green spaces as nature-based solutions for particulate matter mitigation and carbon footprint reduction: a case study in Ho Chi Minh city

Tran Thi Bich Phuong, Do Vinh Duong, Thanh Tran

This paper presents a case study in Ho Chi Minh City examining how urban green spaces, as nature-based solutions, contribute to particulate matter mitigation and carbon footprint reduction. Through quantitative assessment, it demonstrates t…

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Peer-reviewed🌍 GlobalJournalJournal of Chemical Technology & Biotechnology2026#CCUSDOI

Comprehensive review of nitrogen‐doped porous carbon materials for <scp> CO <sub>2</sub> </scp> capture: synthesis techniques, computational modelling, machine learning and future perspectives

Shajaratuldur Ismail, Farihahusnah Hussin, Zong Yang Kong +1

This review comprehensively covers synthesis methods (pyrolysis, activation, template-assisted, etc.) for nitrogen-doped porous carbons for CO2 capture, and integrates machine learning (ML) models to predict adsorption capacity from key fea…

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Peer-reviewedJournalWater Air & Soil Pollution2026#OtherDOI

Simultaneous Capture of Harmful Lead and Cadmium Cations from Polluted Aquatic Sample using Mesoporous Manganese Silicate Supported by Activated Carbon from Palm Leaves

Amal E. Mubark, Ahmed A. Eliwa, Walaa F. Zaher +1

This study proposes a method for simultaneous capture of harmful lead and cadmium ions from polluted water using mesoporous manganese silicate supported by activated carbon derived from palm leaves, contributing to environmental remediation…

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