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-reviewed🌍 GlobalJournalSustainable Development2026#Energy TransitionDOI
The Carbon Footprint of Digitalization: Spatial Spillovers of ICT Development and Implications for Sustainable Development
Manuel A. Zambrano‐Monserrate, Gonzalo Hernández Soto, Nazife Özge Beşer
This study analyzes the impact of ICT development on CO2 emissions using panel data from 87 countries (2006-2016) and spatial econometric models. It separates domestic effects from spatial spillovers, finding that ICT development increases …
🌍 GlobalJournal2026#Carbon AccountingDOI
Carbon Footprint Methodologies for Light-Duty Vehicles
Hybrid - EV Committee, null null
This disclosure addendum proposes standardized methodologies for life cycle assessment (LCA) of light-duty vehicles, focusing on GHG emissions (GWP100). It adheres to ISO 14040/14044 and ISO 14067, using the cut-off approach. It covers vari…
🌍 GlobalDatasetZenodo (CERN European Organization for Nuclear Research)2026#Carbon AccountingDOI
Dataset for "External Rating Coverage in the Voluntary Carbon Market"
Ngoc Tuan Tran
This dataset integrates Verra VCS project data with BeZero Carbon external ratings, providing a foundation for analyzing determinants of external rating coverage in the voluntary carbon market. It includes project attributes, ratings, and m…
Peer-reviewed🌍 GlobalJournalFrontiers in Computer Science2026#AI × ESGDOI
A Q-learning-assisted self-healing wireless sensor network for industrial carbon capture monitoring: a controlled HIL study
Abed Saif Ahmed Alghawli, Ali Raza, Suzan Hassan Bakhit +2
This study proposes a Q-learning-based routing and fault-recovery framework for CCS monitoring WSNs, integrating energy awareness. Evaluated on a 50-node HIL testbed, it reduced latency by 53.6%, improved recovery time by 65.9%, achieved 99…
Peer-reviewed🌍 GlobalJournalJournal of Cleaner Production2026#HydrogenDOI
Techno-economic and risk-adjusted assessment of PV–wind–hydrogen hybrid energy systems in Morocco: Towards cost-effective low-carbon electricity supply
Sara El Hassani, Fakher Oueslati, Firyal Latrache +3
This study assesses the techno-economic and risk-adjusted performance of PV-wind-hydrogen hybrid systems in Morocco, demonstrating cost-effective low-carbon electricity supply and the potential for integrating renewables with hydrogen.
🇺🇸 USADatasetZenodo (CERN European Organization for Nuclear Research)2026#CCUSDOI
Data for "Enhanced Rock Weathering for Low-Cost Carbon-Negative Sustainable Aviation Fuel" (Zhang et al. 2025, nature sustainability)
Bingguang Zhang, Yuan Yao
This dataset underpins a study on enhanced rock weathering (ERW) for low-cost carbon-negative sustainable aviation fuel (SAF). It provides data supporting an integrated approach that captures atmospheric CO2 in minerals while producing SAF,…
Preprint🇺🇸 USAarXiv (Cornell University)2026#AI × ESGDOI
Toward Equitable Low-Carbon Mobility: Fairness-Aware Demand Prediction for Expanding Bike-Sharing Systems
Man Luo, Yixuan Zhao
Bike-sharing is key for low-carbon urban mobility, but expansion faces cold-start prediction and equitable allocation challenges. FairGIN, a fairness-aware GNN, integrates expansion-simulated training, attention-based knowledge transfer, an…
Peer-reviewed🌍 GlobalJournalTransportation Research Part D Transport and Environment2026#Energy TransitionDOI
Robust low-carbon ship routing under weather uncertainty: a distributional reinforcement learning approach
Turgay Battal
This paper applies distributional reinforcement learning to low-carbon ship routing under weather uncertainty. It proposes a method to reduce fuel consumption and emissions while ensuring robustness against weather variability, contributing…
Peer-reviewed🇨🇳 ChinaJournalEngineering Applications of Artificial Intelligence2026#AI × ESGDOI
Generative artificial intelligence for automation design of low-carbon high-ductility engineered cementitious composites
Ren-Jie Wu, Hesong Jin, Boyang Liu +6
This paper proposes a generative AI approach to automate the mix design of low-carbon, high-ductility engineered cementitious composites (ECC). The AI optimizes material performance and carbon emissions, contributing to decarbonization in c…
Peer-reviewed🇪🇺 EuropeJournalNew Political Economy2026#Energy TransitionDOI
The rise of low-carbon industrialism: how the world economy is reconfigured through production, regulation, and space
E. W. Stapper
This article proposes 'low-carbon industrialism' as a conceptual tool to study the emerging planning order reorganizing capitalism. It argues that green industrial policy scholarship treats production, labor, regulation, and space partially…
Peer-reviewed🇨🇳 ChinaJournalEnergy Policy2026#Carbon PricingDOI
Low-carbon technology licensing under carbon taxes and green consumer preference
Guangyu Wan, Jingfen Hua, Xiuzhi Hu +2
This paper theoretically analyzes how carbon taxes and green consumer preferences affect firms' strategies and social welfare in the context of low-carbon technology licensing. It examines the impact of licensing forms (fixed fee vs. royalt…
Peer-reviewed🇪🇺 EuropeJournalEnergy Conversion and Management2026#Carbon AccountingDOI
Decarbonizing European refineries: GHG accounting framework and potential assessment for co-processed biofuels
Marco Buffi, N. Abdalla, N. Scarlat +4
This study quantifies life-cycle GHG emissions of co-processed biofuels in European refineries using a RED-compliant framework. Four case studies show 73-96% GHG savings, with carbon intensities of 3.9-25.8 gCO2e/MJ, and estimates EU-wide b…
🇨🇳 ChinaJournalFrontiers in artificial intelligence and applications2026#Carbon PricingDOI
Green Trade Barriers and the Carbon Cost Transmission Mechanism in Cross-Border Supply Chains: A Quantitative Measurement Study
Quan Yuan, Jing Liang, Xiaofeng Wu
This study constructs a three-stage quantitative model to measure carbon cost transmission in cross-border supply chains under the EU CBAM. Using steel and aluminum cases, it finds higher transmission elasticity in high-carbon industries an…
Peer-reviewed🌍 GlobalJournalOpen Science Framework2026#Carbon PricingDOI
Reproductions of "Coase and Cap-and-Trade: Evidence on the Independence Property from the European Carbon Market"
Abel Brodeur
This reproduction report replicates a study on the independence property of cap-and-trade in the European carbon market, testing whether initial allowance allocation affects final emissions. Author feedback was incorporated, confirming the …
Peer-reviewed🌍 GlobalJournalCommunications Earth & Environment2026#CCUSDOI
Feasible geological carbon dioxide storage projections require updated cost and geological potential assumptions
Iain de Jonge-Anderson, Gareth Johnson, Anne Merfort +3
Integrated Assessment Models project large-scale CO2 geological storage, but feasibility is questioned. Analyzing six leading models, this study finds storage cost and geological potential assumptions remain outdated, urging the CCUS commun…
Peer-reviewed🇪🇺 EuropeJournalFinance research letters2026#Carbon PricingDOI
Carbon price volatility and stock returns
Aryan Goswami, Sebastian Rink
This paper empirically analyzes the impact of carbon price volatility on firms' stock returns. It examines how carbon price fluctuations affect investor risk assessment and firm value, offering implications for climate-related financial ris…
Preprint🌍 GlobalEarthArXiv2026#Climate ScienceDOI
Contrasting oil and gas methane emission intensities across Algeria's major production basins derived using MethaneSAT data
Himmelberger, Anthony, Omara, Mark, Knapp, Marvin +9
Using MethaneSAT data, this study quantifies methane emissions from Algeria's three major production basins, finding total emissions of 85 t/h and gas-normalized intensity of 1.5%, far exceeding the 0.2% benchmark of the Oil and Gas Decarbo…
Preprint🌍 GlobalZenodo2026#Scope 3DOI
Q-PROC toolkit: reproducible implementation and anonymised dataset (San Carlos, Costa Rica, 2020-2025)
Madrigal Cruz, Diego Alonso
The Q-PROC toolkit provides a reproducible implementation and anonymised dataset for recovering physical quantities from municipal procurement records, applied to asphalt paving in Costa Rica. It implements seven rules to estimate Scope 3 C…
Peer-reviewed🇨🇳 ChinaJournalEnergy & Environmental Science2026#CCUSDOI
Scaling green hydrogen and CCUS via cement–methanol co-production in China
Yuezhang He, Hongxi Luo, Yuancheng Lin +8
Coupling cement with methanol production links CCUS with green hydrogen by using captured CO2 and electrolytic O2. The integrated design remains cost-competitive across diverse regional renewable conditions.
Peer-reviewed🇨🇳 ChinaJournalEnergy & Environmental Science2026#HydrogenDOI
Unlocking multi-stage flexibility enables cost-competitive hydrogen-based steelmaking in China
Yuezhang He, Zhenqian Wang, Mohamed Atouife +7
This study demonstrates that coordinating multi-stage flexibility across the hydrogen-based steelmaking chain reduces costs and reconfigures systems toward strategic overcapacity and flexible load-shifting under variable renewable supply, e…