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.
🇪🇺 EuropeDatasetZenodo2026#EV & TransportDOI
When does switching powertrain pay off? A prospective life cycle assessment of road transport options under three decarbonisation policy pathways
Paulu, Aleš
This study evaluates the environmental and economic payback of switching powertrains (from internal combustion to electric) for cars, LCVs, trucks, and buses under three decarbonisation policy pathways. Using static and dynamic LCA models c…
PreprintSSRN2023#Scope 3
A Greenhouse Gas Emission Tracking System (GETS) for Climate-Related Disclosures
Lanxin Jiang, Yu Gu, Wenjun Yu +1
This paper proposes a Greenhouse Gas Emission Tracking System (GETS) that integrates IoT, blockchain, and Life Cycle Assessment (LCA) to enhance Scope 3 GHG emission estimation and climate-related disclosures. The system enables reliable da…
PreprintSSRN2024#Scope 3
Value of Blockchain Technology on Scope 3 Carbon Disclosure: Moderating Roles of Data Processing-Related Digital Technologies
Yuan Chen, Yunting Feng, Kee-hung Lai +1
This paper empirically demonstrates that blockchain technology enhances Scope 3 carbon disclosure by facilitating coordination on data collection across supply chains. It also finds that data processing technologies like AI and cloud comput…
PreprintSSRN#Scope 3
A Hybrid Approach for Net Zero Supply Chains
(著者不明)
This paper proposes a hybrid approach combining AI and traditional accounting to enhance Scope 3 emissions calculation and optimize resource use across supply chains. Empirical analysis demonstrates improved accuracy and cost reduction pote…
PreprintSSRN#AI × ESG
Assessing corporate sustainability with large language models
(著者不明)
This paper proposes using large language models (LLMs) to assess corporate Scope 3 greenhouse gas emissions, focusing on Category 11 (use of sold products). It demonstrates the effectiveness and challenges of automated LLM-based estimation,…
PreprintSSRN#Carbon Accounting
Embracing Transparency in Product Carbon Footprint for silicones
(著者不明)
This paper focuses on enhancing transparency in product carbon footprint calculations for silicones, particularly addressing Scope 3 Category 11 (use of sold products) and purchased goods and services. It also proposes a method for calculat…
🇺🇸 USAPreprintSSRN#Policy
Full Emissions Disclosure Under California Senate Bill 253 Could ...
(著者不明)
California's SB 253 mandates full GHG disclosure including Scope 3. This paper analyzes the impact on corporate disclosure costs and supply-chain emission reductions, focusing on the uncertainty in downstream Category 11 (Use of Sold Produc…
PreprintSSRN#Scope 3
More than a Number: The Informativeness of Scope 3 Emissions ...
(著者不明)
This study examines the informativeness of Scope 3 emissions, focusing on Category 11 (Use of sold products) and Category 12. It evaluates how uncertainty in Scope 3 methods affects disclosure quality and suggests improvements for climate r…
PreprintSSRN2025#ESG
How Green is Green? Anatomy of ESG Funds' Selection
Dunhong Jin, Roni Michaely, Menghan Wang
This paper examines the stock selection processes of ESG funds and evaluates their environmental and financial outcomes relative to benchmarks. ESG portfolios reduce overall emissions by 36%, but over 90% of this reduction comes from exclud…
PreprintSSRN2025#Carbon Pricing
The Market for Voluntary Carbon Offsets
Florian Berg, Marco Ceccarelli, Florian Heeb +3
We analyze pricing in the voluntary carbon market (VCM) using proprietary transaction-level data. Prices range from cents to over $100 per ton CO2. Credits with positive non-carbon externalities command 2-4x prices. Buyer identity explains …
🇺🇸 USAPreprintSSRN2026#ESG
The Traffic Light Effect in ESG Ratings
Florian Berg, Jess Cornaggia, Cristian Foroni +1
This study documents a 'traffic light effect' in MSCI ESG ratings: companies systematically bunch just below rating thresholds, because the rater faces pressure to avoid frequent changes that would trigger portfolio rebalancing costs for su…
🇺🇸 USAPreprintSSRN2026#ESG
The Hidden Benefit of ESG
Dov Solomon, Ido Baum, Rimona Palas +1
This paper provides causal evidence that higher ESG scores lead to more reliable financial disclosure, using the Business Roundtable's 2019 Statement as an exogenous shock. Analyzing 2,386 U.S. firms from 2016-2021, it shows ESG frameworks …
CN📚 Peer-reviewed · JournalAsian Journal of Water, Environment and Pollution2026#AI × ESGDOI
Carbon transition risk, green debt pricing, and environmental governance: Evidence from Chinese high-energy-consuming firms
Lin Sun, Jun Zeng
This study examines how carbon transition risk affects green debt financing spreads for Chinese high-energy-consuming firms. Using panel fixed-effects models, event studies, and machine learning (random forest, XGBoost, neural networks), it…
📚 Peer-reviewed · JournalDiscover Sustainability2026#Energy EfficiencyDOI
Net zero pathways in healthcare facilities across design retrofit and operations
Özlem Geylani
This paper explores pathways to achieve net zero in healthcare facilities across design, retrofit, and operations. It focuses on energy efficiency and renewable energy integration.
CN📚 Peer-reviewed · JournalACS Sustainable Chemistry and Engineering2026#CCUSDOI
A Microflow and Bioinspired Dendritic Topology Optimization for CO2Capture, Utilization and Storage Hubs in China: Integrating Microfluid Dynamics with Macro-Scale Infrastructure Design
Wei N.
This paper proposes a bioinspired dendritic topology optimization method for CO2 capture, utilization and storage (CCUS) hub infrastructure in China, integrating microfluid dynamics with macro-scale design. By considering microscale flow be…
📚 Peer-reviewed · JournalJournal of Materials Chemistry A2026#HydrogenDOI
A Mn-doped cobalt phosphide non-noble catalyst: boosting the HER for a stable and high-performance Zn-CO2 system
Liao Y.
This paper reports a Mn-doped cobalt phosphide non-noble catalyst that boosts the hydrogen evolution reaction (HER) in a Zn-CO2 system, demonstrating stability and high performance, potentially contributing to CO2 utilization and hydrogen p…
📚 Peer-reviewed · JournalEnergies2025#CCUSDOI
Synergy of Fly Ash and Surfactant on Stabilizing CO2/N2 Foam for CCUS in Energy Applications
Raib J.D.
Investigates the synergistic effect of fly ash and surfactant on stabilizing CO2/N2 foam for enhanced CCUS performance. Potential to improve carbon capture efficiency.
📚 Peer-reviewed · JournalJournal of Financial Regulation2026#GreenwashingDOI
Credit Substitution in Sustainable Finance: An Achilles Heel?
Gözlügöl A.A.
This paper critiques credit substitution in sustainable finance, suggesting that green bonds may merely replace conventional debt rather than funding new green projects, undermining environmental additionality. It highlights a critical flaw…
📚 Peer-reviewed · JournalMathematics2025#Carbon PricingDOI
Distributed Energy Sharing Network Equilibrium in Industrial Parks Under Carbon Emissions Trading Mechanism
Fu H.
This paper analyzes the impact of carbon emissions trading on distributed energy sharing networks within industrial parks using an equilibrium model. It quantifies cost and emission reductions, offering policy insights.
🌍 Global📚 Peer-reviewed · JournalClimate Policy2024#Carbon PricingDOI
Carbon leakage in agriculture: when can a carbon border adjustment mechanism help?
Fournier Gabela J.G.
This paper examines carbon leakage in the agricultural sector and explores the conditions under which a carbon border adjustment mechanism (CBAM) can effectively mitigate it, considering agricultural specificities.