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🌍 GlobalJournalEPRA International Journal of Economic and Business Review2026#ESGDOI
ESG RATING DISAGREEMENT, GREENWASHING PERCEPTION, AND INSTITUTIONAL INVESTMENT DECISIONS:THE MODERATING ROLE OF DISCLOSURE QUALITY AND THIRD-PARTY ASSURANCE
Roshan S
This paper proposes an integrated model linking ESG rating disagreement to institutional investment decisions via greenwashing perception and trust, moderated by disclosure quality and assurance. Based on a survey of 450 investors, it addre…
Peer-reviewed🇪🇺 EuropeJournalWorld2026#ESGDOI
Diagnosing ESG Disclosure Usability for LCSA and Environmental Security Risk Analysis in Bulgaria and Moldova
Radosveta Krasteva-Hristova, Luminița Diaconu
This study evaluates ESG disclosures of 36 organizations in Bulgaria and Moldova using a Data Gap Matrix covering 15 indicators. It separates disclosure quality into availability, granularity, and auditability, finding auditability weakest.…
🇪🇺 EuropeDatasetZenodo (CERN European Organization for Nuclear Research)2026#Carbon AccountingDOI
A Hybrid LCA Framework for Drug-Level Carbon Footprint Assessment Under Data Constraints: Application to Narrower-Spectrum Penicillin
Institute of Environmental Sciences Leiden University, Rick Hagenaars
This study proposes a hybrid LCA framework for assessing drug-level carbon footprints under data constraints, applied to narrower-spectrum penicillin. Using the ICO-2023 EE-MRIO, it provides global and country-specific carbon footprints, co…
🇺🇸 USADatasetHarvard Dataverse2026#Climate FinanceDOI
Replication Package for: Carbon Emissions and the Bank Lending Channel
Marcin Kacperczyk
This package provides replication data and code for a study on carbon emissions and the bank lending channel. It includes pseudo data and a README to ensure reproducibility. Useful for assessing climate-related risks in financial institutio…
Peer-reviewed🇨🇳 ChinaJournalFrontiers in Environmental Science2026#AI × ESGDOI
Carbon-management decision support for prefabricated component production and delivery under dynamic energy–carbon signals
Yang Lu, Joston Gary
This study develops an environmental systems engineering framework for carbon-management decision support in prefabricated construction, integrating production and transport decisions under dynamic energy prices and carbon signals. A tri-ob…
Peer-reviewed🇨🇳 ChinaJournalJournal of Environmental Management2026#Carbon AccountingDOI
Allochthonous particulate organic carbon in blue carbon ecosystems: Implications for accounting, stability, and policy
Anirban Akhand, Inés Mazarrasa, Stacey M. Trevathan‐Tackett +10
A review of 102 studies finds that 56±25% of soil organic carbon in blue carbon ecosystems is allochthonous particulate organic carbon (POC). Including it in carbon accounting risks overestimation and double-counting, but its role in stabil…
Peer-reviewed🌍 GlobalJournalReview of Financial Studies2026#Climate FinanceDOI
Carbon Emissions and the Bank-Lending Channel
Marcin Kacperczyk, José‐Luis Peydró
This paper studies how firm-level carbon emissions affect bank lending and real outcomes using global syndicated loan data. Exploiting bank climate commitments as shocks to lending relationships, it finds that high-emission firms borrowing …
Peer-reviewed🌍 GlobalJournalCatalysts2026#CCUSDOI
Integrated CO2 Capture and Circular Carbon Utilization Through Catalytic Conversion, Biomass Coupling, Hydrogen Integration, Mineralization, and Artificial Intelligence
Afsha Ali, Muhammad Kashif Khan, Farooq Ahmad +2
This review frames CO2 capture as part of an integrated carbon management system, covering catalytic conversion, biomass coupling, hydrogen integration, mineralization, and AI-assisted process design. It contrasts reactive capture with sequ…
Peer-reviewed🇪🇺 EuropeJournalRenewable Energy2026#CCUSDOI
Carbon capture and oxy-combustion for glassmaking decarbonization through Power-to-Gas: technical and economic viability assessment
Cristian Barón, Jorge Perpiñán, Begoña Peña
This paper assesses the technical and economic viability of integrating oxy-combustion with carbon capture and Power-to-Gas technology for decarbonizing glass manufacturing. By utilizing renewable hydrogen, it aims to reduce CO2 emissions a…
Peer-reviewed🇨🇳 ChinaJournalApplied Energy2026#AI × ESGDOI
Multi-agent reinforcement learning-based joint design of low-carbon P2P market and bidding strategy in microgrids
Junhao Ren, Honglin Gao, Sijie Wang +5
This paper proposes a multi-agent reinforcement learning approach to jointly design a low-carbon peer-to-peer (P2P) energy market and bidding strategies in microgrids. It optimizes economic and environmental outcomes, promoting renewable in…
Peer-reviewed🇪🇺 EuropeJournalNature Communications2026#Energy TransitionDOI
Rethinking concrete durability for low-carbon concretes through climate-informed corrosion modelling
Cristhiana Albert, Thilo Schmid, Zhidong Zhang +1
Decarbonizing concrete is vital for climate targets, but low-carbon mixes often reduce alkalinity, raising corrosion concerns. This paper proposes a framework combining moisture transport modeling and corrosion science to predict microclima…
Peer-reviewed🌍 GlobalJournalnpj Climate Action2026#AI × ESGDOI
AI-driven productivity gains enable more CO₂ emissions than they avoid in a global energy–economy model
Will Alpine, Nathan B. Geldner, Holly Alpine +1
This study models AI as a bidirectional productivity amplifier in a global CGE model, finding that AI-driven productivity gains in fossil fuel sectors lead to net CO2 emission increases of 0.47-1.8 Gt annually, outweighing reductions from r…
Peer-reviewed🇪🇺 EuropeJournalAnnals of Operations Research2026#Renewable EnergyDOI
Optimal investment and fair sharing rules of incentives in virtual renewable energy communities
Almendra Awerkin, Paolo Falbo, Tiziano Vargiolu
This paper addresses two challenges in Renewable Energy Communities (REC): investment in renewable technologies and equitable sharing of incentives. Modeling a virtual REC with a household and a biogas producer as a leader-follower game, it…
Preprint🇺🇸 USAResearch Square2026#EV & TransportDOI
Carbon abatement costs are negative for many electric vehicles across U.S. cities
Maxwell Woody, Gregory A. Keoleian
This study analyzes the carbon abatement costs of electric vehicles (EVs) across U.S. cities, finding that in many cities the costs are negative, meaning EVs offer both emissions reductions and economic benefits. The results highlight the i…
🇪🇺 EuropeJournal2026#Renewable EnergyDOI
Data-Driven Electricity Forecasting for Small Grid-Tied Photovoltaic Power Plants in the Transition from Centralized to Distributed Generation
Rumen Mihailov, Vladimir Valkanov
This paper proposes a data-driven model to forecast photovoltaic output for small grid-tied plants, addressing grid stability challenges from high renewable penetration. It highlights the 2025 Iberian blackout and argues that improved forec…
Peer-reviewed🌍 GlobalJournalSpringer Link (Chiba Institute of Technology)2026#Energy TransitionDOI
Smart Energy: Trends, Opportunities, and Challenges
Anup Pradhan, Peter Onu
This survey comprehensively analyzes the evolution, current state, and prospects of smart energy, revealing a shift toward decentralized systems, renewable integration, and digitalization. It identifies challenges such as cybersecurity, reg…
🌍 GlobalJournal2026#AI × ESGDOI
Digital Transformation for Climate‐resilient Food Safety
Joseph Sanderson
Climate change intensifies food safety risks; digital technologies (AI/ML, IoT, blockchain) strengthen risk analysis via monitoring, prediction, and traceability. Three case studies (AI sorting, blockchain supply chain, IoT cold chain) show…
Peer-reviewed🌍 GlobalJournalInternational Journal of Energy Sector Management2026#Energy TransitionDOI
Does renewable energy diversification shield against energy uncertainty? Unpacking the role of innovation
Himanshu Sekhar Panda, Mantu Kumar Mahalik
Using panel data from 8 emerging and 16 developed economies (1996-2022), this study finds that renewable energy diversification mitigates energy uncertainty more effectively in emerging economies. Innovation strengthens this effect, while e…
Peer-reviewed🇪🇺 EuropeJournalEnergy Sustainability and Society2026#Renewable EnergyDOI
Sustainability in offshore wind development: a systematic review of sustainability concepts and development tensions
Thaysa Portela Carvalho, Magnus Hellström, Nina Tynkkynen
This systematic review identifies sustainability tensions, dilemmas, and paradoxes in offshore wind development, highlighting conflicts among economic, environmental, and social demands. It argues that flexible definitions of sustainability…
🇺🇸 USADatasetZenodo2026#Carbon AccountingDOI
Open Grid Emissions Dataset 2005-2025 (early release) (v0.8.0)
Miller, Gregory J., Rouille d'Orfeuil, Benjamin, Shi, Wenbo
The Open Grid Emissions Initiative provides publicly accessible hourly grid emissions data for the U.S., built on EPA's eGRID with improved data quality and granularity. The 2025 early release includes plant and subplant-level data only, wi…