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.
Showing 281–300 of 558 papers
Vlian, Ismahasan
This document defines a public-layer governance profile for structuring carbon and ecological claims into traceable, replayable records. It provides an interface for reviewing integrity, risk signals, and accountability without certificatio…
Li Z.
This paper introduces an economic analysis software for evaluating best management practices (BMPs) to mitigate greenhouse gas emissions from cropland. The software analyzes the cost-effectiveness of various management options and estimates…
Foster A.
This paper proposes a comprehensive top-down method to estimate greenhouse gas emissions from the food chain in European Economic Area (EEA) countries. The method leverages existing statistical data to build a comprehensive emissions invent…
Joshua Aboah, Derek Chan, Sirak Bahta +3
This study uses a system dynamics model to estimate carbon footprints and economic trade-offs in Mongolia's cashmere value chain. It finds that electricity use in dehairing is the largest GHG contributor, followed by transportation. Banning…
Chenchen Wang, Laijun Zhao, George N. Papageorgiou +2
This study analyzes the driving factors and peak pathways for production-based embodied carbon emissions from China's light industry international trade. It contributes to understanding supply chain emissions and offers insights for climate…
Enrico Nocentini
This doctoral thesis develops a consumption-based environmental accounting framework for Italy, estimating an average lifestyle carbon footprint of 8.3 t CO2e/capita. Food, housing, and mobility dominate emissions. Decarbonization scenarios…
Usman Tasuev, Polina Tregubova, Svetlana Illarionova +3
This study combines machine learning with remote sensing to estimate forest carbon stocks with high accuracy. XGBoost achieved MAPE 0.37 and R² 0.68 for carbon stock. A geospatial mapping tool incorporating uncertainty quantification suppor…
Cvetinović D.
This study compiles a GHG emission inventory for public district heating plants in Serbia and evaluates mitigation measures. It provides methodology and specific reduction options, contributing to emission reduction in the heating sector in…
Larbi R.
This paper presents a bottom-up methodology for assessing military greenhouse gas emissions, highlighting the lack of transparency and proposing a comprehensive accounting framework.
Kellner F.
This paper proposes a method for allocating greenhouse gas emissions to individual shipments in road freight transportation, aiming to develop a global carbon accounting standard. It compares allocation approaches and highlights the need fo…
Xie Y.
This paper analyzes the regulation of third-party verification entities in China's emissions trading schemes, offering lessons for scheme design. It highlights the importance of verification independence and quality assurance.
Picazo-Tadeo A.J.
This paper proposes an intertemporal approach to measuring environmental performance using directional distance functions, applied to greenhouse gas emissions in the European Union. It captures changes in environmental efficiency over time.
Suzuki S.
This paper proposes decarbonization methods for detached houses that incorporate dynamic CO2 emission factors. By accounting for temporal variations in emission factors, it enables more accurate carbon accounting and effective decarbonizati…
Ibrahim U.A.
This paper proposes an AI-based MRV system using multimodal data to support net-zero emissions targets. The scalable approach can streamline corporate and government emission accounting and reporting, enhancing transparency.
Lim C.S.
This paper proposes using AI and tokenization to manage carbon footprints and ESG metrics for net-zero transitions. While lacking empirical data, it highlights potential improvements in data transparency and traceability for corporate susta…
M. Sandhiya, H. Bhavithra, S. Sharmila +5
This paper develops an uncertainty-aware framework for water quality detection and carbon offset estimation in the Yamuna River. Using ellipsoidal neutrosophic modeling and dual aggregation operators, it reveals a pronounced upstream-downst…
Claire Zarakas, Grayson Badgley, Michael L. Goulden +1
This study fuses forest inventory data with satellite data to show that Western US forest live biomass declined by 5% from 2015 to 2022, driven by wildfire mortality. This trend was missed by official reports and challenges reliance on land…
Fabrice Pernet, Phillip Williamson, Frédéric Gazeau
This paper critically examines whether bivalve aquaculture qualifies as marine carbon dioxide removal (mCDR). It demonstrates that at the organism level, bivalves are CO2 sources, not sinks, and evidence for ecosystem-scale carbon sequestra…
Katrin E. Daehn, Ravi Basuhi, Danika Eamer +1
This paper presents methods to visualize physical flows of energy, materials, and emissions in the global economy, enabling a holistic understanding of scale and interconnections for decarbonization.
O’Born R.
This paper presents a life cycle assessment (LCA) of the Oslo fjord crossing road infrastructure project in Norway, quantifying energy demand and greenhouse gas emissions. The study provides insights into the environmental impacts of large-…
Browse by Topic