GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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.
🌍 GlobalPreprintSSRN#Scope 3
Real Effects of Proposed Scope 3 Disclosures
(著者不明)
This paper empirically demonstrates that the threat of proposed Scope 3 disclosure requirements induces real changes in corporate decisions, such as supply chain emission reductions and business restructuring.
🌍 GlobalPreprintSSRN#AI × ESG
A Human–AI Collaborative Framework for Benchmark Dataset
(著者不明)
This paper proposes a human-AI collaboration framework using LLMs for creating benchmark datasets for ESG rating agencies. It achieves efficient and high-quality dataset construction, contributing to standardization in ESG evaluation.
🌍 GlobalPreprintSSRN#AI × ESG
AI in ESG for Financial Institutions: An Industrial Survey
(著者不明)
This industrial survey examines how financial institutions use NLP to extract unstructured ESG data from financial reports, news, and filings. It provides an overview of data extraction methods, value creation potential, and practical chall…
🌍 GlobalPreprintSSRN#Biodiversity
Do Investors Care About Biodiversity Greenwashing?
(著者不明)
This paper examines the relationship between firms' biodiversity-related disclosures and stock returns and idiosyncratic risk, providing empirical evidence on how greenwashing concerns affect market valuations and investor perception.
🌍 GlobalPreprintSSRN#Transition Finance
Green Taxonomies as Instruments of System Change?
(著者不明)
This chapter interrogates the potential of green taxonomies as instruments for system change, referencing the Paris Agreement, and critically examines their role in driving systemic transformation within financial systems.
🇪🇺 EuropePreprintSSRN#Transition Finance
Corporate Climate Transition Planning after the Omnibus Overhaul
(著者不明)
This paper discusses corporate climate transition planning following the Omnibus regulatory overhaul. It emphasizes the need for companies to fundamentally rethink their strategies, operations, and business models to align with a climate-ne…
🇪🇺 EuropePreprintSSRN#Climate Finance
Greening Monetary Policy Operations: Exploring Additional Options
(著者不明)
The ECB plans to introduce climate criteria in its collateral framework from late 2026 to address transition risks. This paper explores additional options for greening central bank monetary policy operations, discussing how to balance clima…
🌍 GlobalPreprintSSRN#AI × ESG
Automating Insight Extraction from Oil and Gas Sector Climate ...
(著者不明)
This paper proposes a methodology for automating the analysis of ESG disclosures in the oil and gas sector. It demonstrates scalability and adaptability for extracting insights from large-scale disclosure documents, highlighting potential f…
🇪🇺 EuropePreprintSSRN#Transition Finance
Regulating sustainable finance and the green transition in the EU
(著者不明)
This paper analyzes the EU regulatory framework to redirect private capital for the green transition, focusing on three pillars: a science-based taxonomy, disclosure obligations, and investment tools. It examines how these components aim to…
🇪🇺 EuropePreprintSSRN#Transition Finance
Financing the orderly transition to a low carbon economy in the EU
(著者不明)
This paper analyzes that the EU needs investment equivalent to 5% of GDP in 2025-2030 to meet its Net Zero 2050 target, and examines financing strategies under the European Climate Law (Regulation (EU) 2021/1119). It focuses on policy frame…
🇪🇺 EuropePreprintSSRN#Carbon Pricing
The Economics of the Net Zero Transition: Policy Scenarios and the ...
(著者不明)
This paper analyzes the economic impact of the EU's Carbon Border Adjustment Mechanism (CBAM). It examines policy scenarios for the net zero transition leading up to the 2026 carbon tariff implementation, offering insights for Japanese expo…
🌍 GlobalPreprintSSRN#AI × ESG
Decoding Greenwashing: LLM Insights into Corporate Narrative
(著者不明)
This paper proposes a method to detect greenwashing by leveraging LLMs to analyze the gap between ESG disclosure and performance scores. Using large language models for text analysis of corporate sustainability reports, it identifies false …
🇺🇸 USA📚 Peer-reviewed · JournalEnvironmental Science & Technology2026#Supply ChainDOI
Tracking U.S. Liquefied Natural Gas Supply Chain Greenhouse Gas Emission Intensity through Direct Measurements
Yuanrui Zhu, Gregory B. Ross, Jenna Brown +8
This study directly measures GHG emissions across the US LNG supply chain including production, processing, liquefaction, and transport. The emission intensity data enables buyers to improve Scope 3 accounting and supports climate disclosur…
🌍 Global📚 Peer-reviewed · JournalCarbon Capture Science & Technology2026#Energy TransitionDOI
Carbon-Derived and Biomass-Based Sustainable Aviation Fuel Pathways: A Comparative Techno-Economic and Life-Cycle Review for Aviation Decarbonization
Ahmad Saeed, Muhammad Abdul Qyyum, Amjad Riaz +3
This paper provides a comparative review of carbon-derived and biomass-based sustainable aviation fuel (SAF) pathways from techno-economic and life-cycle perspectives. It analyzes costs, GHG reduction potentials, and feasibility of each pat…
🌍 Global📚 Peer-reviewed · JournalTransportation Research Interdisciplinary Perspectives2026#Energy EfficiencyDOI
Speed reduction in aviation: A double dividend for decarbonization
Jean-Baptiste Jarin
This paper examines speed reduction in aviation as an operational measure for decarbonization, exploring its potential to yield a double dividend of reduced fuel consumption/emissions and ancillary benefits such as noise reduction. It quant…
🌍 Global📚 Peer-reviewed · JournalChemistrySelect2026#CCUSDOI
Applied Design Strategies for MOFs in CO
2
Capture: Balancing Stability, Selectivity, and Scalability
R. Vinayak
This review comprehensively covers design strategies for metal-organic frameworks (MOFs) for CO₂ capture, comparing approaches like defect engineering and amine grafting. It addresses key challenges in stability, selectivity, and scalabilit…
🌍 Global📚 Peer-reviewed · JournalSustainable Development2026#Energy TransitionDOI
Governance, Innovation, and Complexity: Reassessing Energy Transition and Carbon Outcomes in
G8
Economies Through a Quantile‐Based Framework
Bowen Liu, J. Ricci
This study examines the effects of environmental governance, economic complexity, green innovation, geopolitical risk, and economic growth on energy transition and carbon emissions in G8 economies from 1990 to 2021 using quantile regression…
🌍 Global📚 Peer-reviewed · JournalIEEE Transactions on Plasma Science2026#HydrogenDOI
Catalyst-Free Methane Decomposition Using Microwave-Assisted Plasma: A Simple Green Solution Toward Mitigation of Greenhouse Gases
Subham Chowdhury, Nitin Kumar, H. Khatun +3
This paper presents a catalyst-free microwave-assisted plasma technique for methane decomposition, achieving >95% decomposition efficiency and >90% hydrogen production. When powered by renewables, net carbon emissions are reduced by 93.75% …
🌍 Global📚 Peer-reviewed · JournalInventions2026#HydrogenDOI
A Review of the Ionic Liquids for Hydrogen Production by Electrolysis
José Pereira, Reinaldo Souza, A. Moita
Ionic liquids offer unique electrochemical properties for hydrogen production via electrolysis, including wide electrochemical windows and thermal stability, which can reduce overpotentials, improve catalyst stability, and suppress gas cros…
🌍 Global📚 Peer-reviewed · JournalManagement of environmental quality2026#Energy TransitionDOI
Artificial intelligence and green growth nexus: evidence from OECD countries using panel CS-ARDL and wavelet analysis
Alper Aslan, Emin Ahmet Kaplan, Tufan Sarıtaş +1
This study examines the dynamic relationship between AI and green growth across 38 OECD countries from 1996-2024 using CS-ARDL and wavelet coherence analysis. Results show AI significantly enhances green growth in the short run, with streng…