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 1481–1500 of 1765 papers
Yoo Gyeong Hur, Jisu Kim, Mingyu Kang
This study uses nighttime light data to estimate spatiotemporal changes in electricity-related greenhouse gas emissions in South Korea. By leveraging remote sensing technology, it provides an alternative to traditional statistical data for …
A. Maulana, Zaenal Afifi, Zamrud Mirah Delima
This study examines the effect of green accounting, carbon emissions disclosure, profitability, and ESG disclosure on firm value using panel data from 16 Indonesian basic materials companies (2021-2024). Results show that only carbon emissi…
Ama Sylvie Massa Olloh, Shilpa Kaushal
This review synthesizes evidence that agroforestry systems can sequester 1.12 Pg CO2 equivalent annually globally, holding 2-4 times more carbon than monocropping and increasing soil organic carbon by 34% on average. Despite this potential,…
Donald E. Martocello III, Thomas Storwick, Carolyn Buchwald
This perspective discusses a joint industry-academic attempt to develop a carbon credit methodology for macroalgae carbon dioxide removal (CDR). It outlines fundamental science, challenges that prevented completion, and necessary steps incl…
Agbor Desmond Tabe, Yves Shema, Agbor James Ayamba
This study explores carbon farming practices (cover cropping, agroforestry, reduced tillage) in Cameroon's Southwest Region. 70% of farmers are willing to adopt if trained and financially supported, with interest in carbon credit trading. B…
Birhan Getachew Tikuye, Ram Lakhan Ray, Srijana Chaudhary +2
This study investigates the effects of biochar and fertilizer application on greenhouse gas emissions and soil carbon sequestration under field conditions. Results suggest that biochar application enhances soil carbon storage while interact…
Chen C.F.
This paper proposes a methodology for carbon footprint inventory using life cycle energy analysis, covering direct and indirect emissions across the supply chain, contributing to corporate GHG accounting.
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…
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