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.
Showing 2181–2200 of 4241 papers
Julian Reingold
Released during London Climate Action Week, this report outlines a rapid fossil fuel transition path agreed upon by 57 nations. It underscores the urgency of climate action, with the UN Secretary-General warning of record heat.
Klavdij Logožar
Rare earth elements (REEs) are critical for low-carbon technologies but face concentrated and vulnerable supply chains. This paper develops a system-level framework explaining structural constraints on sustainable supply chain diversificati…
Shpak N, Gnylianska L, Gvozd M +2
This paper studies the transformation of energy security of distributed energy systems amid geopolitical shocks and fuel market volatility. It proposes a multi-criteria risk-based optimization model combining economic efficiency, reliabilit…
Krasteva-Hristova R
This exploratory study analyzes the 2024 UK transparency reports of Deloitte, EY, KPMG, and PwC to assess governance disclosures for AI-assisted professional judgment in audit and sustainability assurance. It develops a seven-dimension AI-J…
Mendoza, Gemma, Cerrillo Redondo, Cristina, Ormazabal Lopez, Guillermo +1
This deliverable provides guidance on integrating ecological standards early into battery machinery design in Europe. It reviews key regulations (ESPR, Battery Regulation, NZIA, CRMA) and the Safe and Sustainable by Design (SSbD) framework,…
Kodela, Kalyan Chakravarthy, Roy, Stabak, Ghorbanzadeh, Shaghayegh +2
This paper proposes the Spatio-Temporal Graph Multi-Agent Carbon Flux Model (STG-MACFM), a learning-driven framework within a GeoAI-enabled digital twin. It uses hierarchical agents, reinforcement learning, and graph attention networks to d…
(著者不明)
This paper analyzes how end-of-life allocation methods in life cycle assessment of electric vehicles affect carbon accounting and technology appraisal across multi-generation cascades. It demonstrates that the choice of allocation method ha…
Anjali
This paper proposes a methodology for process integration and cost optimization of a green hydrogen supply chain, combining mixed-integer programming and genetic algorithm to minimize overall costs. It contributes to improving the economic …
Kurniawan T.A.
This report analyzes policies, technologies, and investment strategies to accelerate the transition to a hydrogen economy, contributing to carbon neutrality. Volume 2 focuses on demand creation and supply infrastructure development for hydr…
Ali S.
This paper examines the impact of green finance and innovation on sustainable development using panel data from G7 economies, finding synergistic effects between environmental investment and technological innovation.
Oberthür S.
This paper analyzes the evolution of EU climate policy from emissions trading to the European Green Deal, focusing on policy mix and integration. It examines the role of the EU ETS and policy interactions, offering insights for future clima…
Huang G.N.
This paper analyzes the impact of establishing a carbon trading market in China on emission reductions and the economy. It evaluates the design and early outcomes of the emissions trading system, and considers effects on corporate behavior …
Chu W.
This study uses quantile regression to examine how factors influencing carbon prices vary across different quantiles in China's ETS pilots, revealing nonlinear dynamics in price determinants.
Christensen J.L.
This paper analyzes the role of governance and delegation in climate transparency by European pension funds. It suggests that internal governance and delegation to asset managers are key to improving disclosure.
Iyer R.K.
This study presents a life-cycle greenhouse gas emissions analysis of battery-grade lithium production in Finland. It quantifies emissions from extraction through processing, identifies key hotspots, and supports the potential for low-carbo…
Poorvika N.
This paper proposes a framework integrating AI-powered digital twins and zero-trust security for predictive maintenance of net-zero assets, aiming to enhance grid reliability and optimize renewable energy asset operations.
P. Racho, Boonsita Nammana, N. Tantemsapya +3
This paper evaluates sludge-to-energy pathways in a Thai recycled paper mill over a year. Three options (RDF, anaerobic digestion, hybrid cascade) are compared with techno-economic analysis over 20 years. Results show that APCS costs and el…
Yanyan Ma, Maomao Yu
This paper uses staggered difference-in-differences to examine China's Intelligent Manufacturing Policy's effect on reducing firms' pollution emission intensity relative to export value. It identifies four transmission channels: improved in…
Yifan Duan, Si Zheng, Lihuan Li +2
GHGbench provides an open dataset and benchmark for company- and building-level greenhouse-gas prediction. The company track covers 12,000+ firms with Scope 1+2 and Scope 3 disclosures; the building track harmonizes 491,591 records from 13 …
Dinar Rahayu
This study develops an integrated carbon footprint calculation system model combining GHG Protocol emission scope classification with DEFRA emission conversion factors. Using Design Science Research, it structures activity data, scope class…
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