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.
Peer-reviewedCNJournalJournal of Environmental Science2026#Energy TransitionDOI
Assessment of the paths for pollution and carbon reduction in thermal power plants and their impact on enterprise development.
Panpan Yao, Hairong Jiang, Tian Wang +2
This study evaluates pollution and carbon reduction pathways for a thermal power plant in northern China using LEAP and SWOT models. Results show clean energy capacity exceeding 80% by 2030 and near-zero CO2 emissions by 2060 under a compre…
Peer-reviewedJournalEQUATIONS2026#HydrogenDOI
Equations for Multiple Methods in A Multi-Objective Optimization Implementation Towards Scalability of Distributed Green Hydrogen Systems in Urban Residential Communities
Juan Camilo Rincón Aguilar, Sergio Raúl Rivera Rodríguez
This paper presents a methodology for finding scalable implementation paths for distributed green hydrogen systems in urban residential communities. It applies multi-objective optimization using MOPSO, AGEII, and FDV methods and compares th…
Peer-reviewedJournalJournal of Environmental Management2026#PolicyDOI
Unlocking carbon lock-in through multi-level governance: Configurational pathways for just transitions in resource-depleted cities.
Qinwen Deng
This paper examines how multi-level governance can address carbon lock-in in resource-depleted cities. It employs configurational pathways (likely QCA) to identify conditions for just transitions. The findings contribute to understanding po…
Peer-reviewed🌍 GlobalJournalFashion Practice2026#OtherDOI
Trust in Color: Supporting the Digital Transformation of Textile Printing for Fashion and Apparel Industries
Phil M. Henry, Marjan Vazirian, S. Westland
This paper evaluates digital-color and data-driven design workflows in textile printing for fashion, based on a collaboration between Burberry and University of Leeds. It examines how color accuracy impacts digital transformation and sustai…
Peer-reviewed🇨🇳 ChinaJournalUrban Climate2026#Energy EfficiencyDOI
Deep uncertainty analysis to characterise regional climate for building stock transition: A Nordic empirical study
Kailun Feng, Shuo Wang, Santhan Reddy Penaka +2
This empirical study uses deep uncertainty analysis to characterize regional climate for building stock transition in a Nordic context. It provides insights for integrating energy efficiency and climate adaptation in building retrofits.
Peer-reviewed🇨🇳 ChinaJournalOperational Research2026#Carbon PricingDOI
Coordinating a coal-power supply chain under stochastic carbon prices: a hybrid contract with risk sharing
Jiayu Shen, Lian Shi, Kai Zhu
This study addresses the coordination problem of a coal-power supply chain under stochastic carbon price fluctuations. It proposes a hybrid contract with risk-sharing mechanisms to optimize the entire supply chain and manage risks under car…
Peer-reviewed🇨🇳 ChinaJournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon AccountingDOI
Blockchain-Based Carbon Accounting for Green Grid Infrastructure: A Decision-Making Approach Integrating Life Cycle Assessment and Multi-Agent Simulation
Yinlu Zhang, Hui Yang, Tong Zhang, Yuanjin Zhang, Chuang Zhu
This paper proposes a blockchain-based carbon accounting framework integrating Life Cycle Assessment and multi-agent simulation to track carbon emissions across the entire lifecycle of integrated energy systems (electricity, heating, gas, c…
Peer-reviewed🇨🇳 ChinaJournalApplied Spatial Analysis and Policy2026#AI × ESGDOI
Scale-Dependent and Non-linear Effects of Land-Cover Configuration on Carbon Performance: an MGWR-SHAP Analysis of Tianjin
Jiaxiang Wang, T X Chen
This study uses MGWR-SHAP analysis to evaluate the scale-dependent and non-linear effects of land-cover configuration on carbon performance in Tianjin, China. It reveals that different land cover types have varying impacts at different spat…
Peer-reviewed🇨🇳 ChinaJournalEnvironment Development and Sustainability2026#PolicyDOI
The impact of decarburization policies on default risk in China’s high-carbon businesses: an empirical analysis
Die Lü, Lian Luqi
This paper empirically analyzes the impact of decarbonization policies on default risk among China's high-carbon businesses. Results suggest that stricter policies may increase credit risk, contributing to quantitative assessment of transit…
Peer-reviewed🇨🇳 ChinaJournalGeophysical Research Letters2026#Climate ScienceDOI
Hydrological Threshold for Optimizing Wetland Climate Mitigation
Jinshuai Li, Tianxiang Hao, Hongyang Chen +6
This study synthesizes eddy covariance data from 43 natural wetlands to quantify greenhouse gas responses to water table depth (WTD). Both net ecosystem productivity and methane fluxes show unimodal relationships with WTD, peaking at 50–60 …
Peer-reviewed🇨🇳 ChinaJournalAdvanced Functional Materials2026#Energy EfficiencyDOI
Passive Cooling in the Era of Energy Crisis: Fundamentals, Materials, Applications, and Future Directions
Miaomiao Zhang, Shuo Shi, Joselito Razal +1
This review systematically presents the fundamentals, materials, and applications of passive cooling technologies as zero-energy solutions to address the energy crisis and climate change. It covers advances in materials, structural design, …
Peer-reviewed🇨🇳 ChinaJournalEnvironment Development and Sustainability2026#Climate ScienceDOI
Climate change and high-quality economic development: Insights from the perspective of extreme temperatures
Jun Li, Chao Feng
This paper analyzes the impact of extreme temperatures on economic development, exploring how climate change affects high-quality economic growth. While specific findings are unavailable, it provides a crucial perspective on the economic co…
Peer-reviewed🇨🇳 ChinaJournalNature Communications2026#OtherDOI
Cost-effective abatement of industrial sources of nitrous oxide with methane for urgent climate mitigation
Yunshuo Wu, Rongrong Hong, Xuanhao Wu +3
This paper reports a platinum catalyst that converts 99.99% of industrial nitrous oxide (N2O) emissions at 150°C using methane as a reductant. Mechanistic studies reveal reaction-induced Pt nanoparticles enable rapid oxygen species cycling.…
Peer-reviewedJournalJournal of Economics Management and Accounting2026#ESGDOI
Struktur Tata Kelola Perusahaan dan Team-Centric Culture terhadap Pengungkapan Sustainability Report pada Perusahaan Sektor Energi yang Terdaftar di Bursa Efek Indonesia Tahun 2022-2024
Zahrotun Maulidah, Putu Prima Wulandari
This study examines how corporate governance and team-centric culture affect sustainability disclosure among Indonesian energy firms. It finds board size positively impacts disclosure, while other governance factors and team culture show no…
Peer-reviewedJournalJWM (Jurnal Wawasan Manajemen)2026#ESGDOI
The Development of Sustainability Reports In Indonesia: Management Approaches and Performance Indicators (Case Study in the Energy Sector 2020-2024)
Chairina Chairina, Novita Weningtyas Respati, Rasidah Rasidah +2
This paper analyzes the sustainability reports of Indonesian energy companies from 2020-2024, focusing on management approaches and performance indicators (economic, environmental, social, governance) based on GRI standards. Findings show g…
PreprintZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
Energy Transparency in Open-Source AI: Training Carbon Footprints and Power Consumption Reporting Standards
Олег Ивченко, Iryna Ivchenko
This paper proposes reporting standards for energy consumption and carbon footprint of open-source AI training. It presents specific metrics and methodologies to enhance transparency, contributing to decarbonization in the AI sector.
PreprintZenodo (CERN European Organization for Nuclear Research)2026#Carbon AccountingDOI
Energy Transparency in Open-Source AI: Training Carbon Footprints and Power Consumption Reporting Standards
Олег Ивченко, Iryna Ivchenko
This paper proposes reporting standards for energy consumption and carbon footprint of open-source AI model training. By establishing clear disclosure requirements, it aims to improve transparency and environmental impact assessment of AI d…
Peer-reviewed🇨🇳 ChinaJournalAdvanced Composites and Hybrid Materials2026#OtherDOI
Eco-friendly curcumin-derived carbon quantum dots paired magnetic-carbon nitride for sustainable photocatalytic degradation of ciprofloxacin and antibacterial performance
Basit Ali Shah, Asma Sardar, Kashif Naseem +4
This study developed a novel photocatalyst combining curcumin-derived carbon quantum dots with magnetic carbon nitride. It achieved 94.86% degradation of ciprofloxacin within 50 minutes under visible light and showed ~99.99% antibacterial e…
Peer-reviewed🇪🇺 EuropeJournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon AccountingDOI
Fact sheets for all assessed carbon farming practices
Julio Román-Vázquez, Miguel Ángel Repullo-Ruibérriz de Torres
This deliverable presents a harmonized set of Carbon Farming Fact Sheets translating scientific knowledge into practical guidance. It supports climate change mitigation, carbon sequestration, GHG reduction, and soil health within the CREDIB…
Peer-reviewedCNJournalEARTH AND ENVIRONMENT2026#Climate ScienceDOI
Sources of Soil Water, Carbon, and Nitrogen, and Responses of Karst Carbon Sinks in Peak-Cluster Depression Landscapes Under the Influence of Human Activities
Tiantong Zhou, Qiong Xiao, Fajia Chen +6
This study analyzes soil water, carbon, and nitrogen sources in a karst peak-cluster depression in Guangxi, China, and the response of karst carbon sinks to human activities. Using nitrate isotopes and Bayesian mixing models, it finds that …