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 201–220 of 2055 papers
Chao Tian, Haiqing Sui, Youlin Chen +3
This study estimates net carbon emissions from solid waste management in Wuhan, China, using IPCC guidelines for direct emissions and substitution assumptions for avoided emissions. Waste generation rose from 31.92 Mt to 52.00 Mt (2010–2022…
Evelyn M. Mervine, Matthew Brander, Mansour Edraki +1
This paper identifies critical gaps in how GHG emissions are accounted for at mine sites, where accurate measurement is essential for mitigation planning. Drawing on Australian and European research institutions, it reviews current carbon a…
Andrew Smerald, Hannes Imhof, Edwin Haas +9
A comment on a study applying the process-based LandscapeDNDC model to estimate national-scale agricultural N2O emissions in Germany. It estimates 35 (29–44) kt N/yr for 2017–2022, 28% above the national inventory but within uncertainty. Th…
Droger N.
This work proposes an emissions assessment tool to quantify and evaluate cement-sector emissions and support decarbonization. Cement accounts for roughly 8% of global CO2, making such tools valuable for tracking reductions and informing cor…
Eustache Diemert, Anaëlle Dambreville
The paper proposes a family of machine-learning allometric models that incorporate growth-condition context to improve tree biomass and carbon estimation over pan-tropical baselines. It also offers a principled method to estimate additional…
(著者不明)
Using upper-echelon theory and 2,323 firm-year observations from 768 Indonesian firms (2018-2021), this study examines how CEO tenure, education, gender, and nationality affect carbon emissions disclosure. Shorter CEO tenure, an accounting/…
(著者不明)
Proposes a data interoperability framework linking BIM, LCA and digital twins for construction lifecycle carbon management. A PRISMA review of 105 studies identifies barriers: non-standardised schemas, static emission factors, and BIM-LCA g…
(著者不明)
This paper proposes a full-lifecycle governance framework treating dual-carbon data as a managed asset, coupling governance with green energy-efficiency optimization. It integrates provenance, usage scope, circulation and security controls …
(著者不明)
The paper links the assets of the top 500 billionaires to emissions, building an ownership-based carbon accounting dataset. Each million USD held is tied to over 65 tCO2e per year, about 10x the average person's footprint, with emissions fa…
(著者不明)
A PRISMA 2020 systematic review synthesizing 37 peer-reviewed studies (2021-2026) on Carbon Emission Disclosure. Legitimacy Theory dominates, followed by Stakeholder, Agency, and Signaling theories, framing disclosure as a strategic respons…
Ziqi Zhao, Mingming Jia, Luhe Wan +6
First global-scale assessment of how edge effects in fragmented Ramsar-protected mangroves bias blue carbon estimates. Edge penetration is under 100 m in ~63% of forests, where biomass drops 5.15% on average. Ignoring edges overestimates ca…
G. S. Raju, Choudhary Punit, Vipin Tanwar +6
A five-year field trial in subtropical Jammu compared integrated nutrient management (INM), organic, and natural farming across four wheat varieties, assessing carbon footprint, energy indices, and productivity. HD-3237 under INM gave the h…
M. Harinipriya, B. Arun Karthik, T. Manikandan
This work proposes a digital twin–based carbon footprint monitoring system integrating IoT gas/current/voltage/temperature sensors with cloud computing and a Python interface for real-time emission visualization. It aims to support decision…
Jingle Zhang, Haoran Zhang, Luwen Shen +2
Open data and code for a national-scale audit of official real-time carbon-intensity feeds in Great Britain and Denmark (2017–2026), testing the 'cheap = clean' premise of dynamic electricity tariffs. It reproduces price–carbon alignment of…
R. Sujay, S. Naveen, K. Shashank +2
This appears to address methods or frameworks for estimating corporate carbon footprints. With no abstract available, the scope (Scope 1/2/3), methodology, and novelty cannot be assessed. It sits within the core carbon-accounting and disclo…
JOHN NYEMAH NATT JR
An integrated national assessment of Liberia's carbon stocks and GHG emissions, combining forest carbon, blue carbon, soil organic carbon, and sectoral emissions in one spatial framework. Using Sentinel-2/Landsat imagery, field biomass data…
Bo Da, Zhiqiang Lan, Jiajun Li +3
This study evaluates the mechanical performance and carbon footprint of low-carbon concrete using dredged sand powder as a partial cement replacement. It examines both the potential to cut cement-related CO2 and the resulting strength prope…
Sujin Byeon, Hyelim Yang, Younkyoo Kim +1
A decomposition analysis of GHG emission factors at domestic AI service companies across data-center expansion and carbon-neutrality phases. It isolates the drivers of emission changes, showing where growth and decarbonization align or dive…
Florian Pothin
This work proposes a product-level Trade-LCA framework for estimating embodied carbon in global trade. It links trade statistics with life-cycle assessment to make cross-border supply-chain emissions visible at product granularity, offering…
정모 김
Using 16,036 firm-year observations of Korean non-financial firms (2018-2025), this study applies an extended Ohlson model to test whether recognition and amounts of emission allowance assets (EAs) and emission liabilities (ELs) are value-r…
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