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.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
Shelf:All Papers🇯🇵→🌍 Japan-to-Global🌍→🇯🇵 Global-to-JapanCurated
Sort:NewestRelevanceMost Viewed

Showing 2761–2780 of 4154 papers

Peer-reviewed🇪🇺 EuropeJournalACS Sustainable Chemistry & Engineering2026#HydrogenDOI

Hydrogen Energy Efficiency Index to Compare Low-Carbon Hydrogen Production and Assess Potential Carbon-Negative Technologies

Gaetano Iaquaniello, Gabriele Centi

This paper proposes a hydrogen energy efficiency index to compare low-carbon hydrogen production technologies and assess their potential for carbon-negative operation. It quantifies energy efficiency across various hydrogen production pathw…

Read more →
Peer-reviewed🇪🇺 EuropeJournalcScience2026#Energy TransitionDOI

Toward Carbon Neutrality: Pathways and Challenges in Green Steel Production

Xianfeng Hu, Lena Sundqvist Ökvist, Guozhu Ye +1

This review examines pathways and challenges for carbon-neutral steelmaking. It explores the use of renewable electricity, hydrogen, and biocarbon as reducing agents and heat sources to transform conventional processes. Key constraints incl…

Read more →
Peer-reviewed🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI

ARTIFICIAL INTELLIGENCE–BASED SYSTEMS FOR CLIMATE CHANGE MODELING AND PREDICTION

Komal Bamugade and Archana Jadhav

This review systematically examines AI (ML, deep learning, etc.) applications in climate change modeling and prediction, with emphasis on improving carbon footprint accuracy and climate pattern understanding. It identifies challenges like d…

Read more →
Peer-reviewed🌍 GlobalJournalScientific Bulletin2026#Carbon PricingDOI

THE EFFECTIVENESS OF PIGOUVIAN TAXES IN REDUCING CARBON EMISSIONS

Rashad Tariyel ALIYEV

This study empirically examines the effectiveness of Pigouvian environmental/carbon taxes in reducing CO₂ emissions in G7 countries from 1994 to 2014. Using second-generation panel methods, it finds a long-run cointegration relationship and…

Read more →
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…

Read more →
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…

Read more →
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…

Read more →
Peer-reviewed🌍 GlobalJournalJournal of Cleaner Production2026#Energy TransitionDOI

Decarbonization pathways of plastics across different industries: An analysis of management strategies and mechanisms based on life cycle assessment and material flow

Chen Zhao, Jiandong Bai, Bowen Li +2

This paper evaluates decarbonization pathways of plastics across different industries using life cycle assessment and material flow analysis. It analyzes management strategies and mechanisms, demonstrating the effectiveness of recycling and…

Read more →
Peer-reviewed🌍 GlobalJournalInternational Journal of Transport Development and Integration2026#AI × ESGDOI

AI-Driven Decarbonization Strategies for Maritime Ports: A Systematic Review with PRISMA and Bibliometric Analysis

Amayrol Zakaria, Shamila Azman, Khairul Anuar Mat Saad +2

This paper systematically reviews AI-driven decarbonization strategies for maritime ports using PRISMA and bibliometric analysis. It identifies key research trends and highlights AI's role in enhancing operational efficiency and reducing em…

Read more →
← Prev139 / 208Next →

Browse by Topic

#Scope 3#Scope 1/2#Carbon Pricing#Renewable Energy#Policy#TCFD#SBT/SBTi#CDP#CCUS#Hydrogen#Climate Finance#Climate Science#EV & Transport#Energy Transition#ESG#Transition Finance#Greenwashing#Climate Risk#Biodiversity#Carbon Accounting#Disclosure Infrastructure#Energy Efficiency#Supply Chain#AI × ESG#Other