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 161–180 of 1706 papers
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)
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…
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…
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…
(著者不明)
This work proposes a structured approach to carbon credit methodology and framework design. It likely addresses credit generation, certification, and use within carbon markets. However, no abstract was available, so specific contributions a…
Nowlan A.
This work develops a 'pollution accounting' approach to quantify the air emissions and impacts of corporate transportation-system choices. Using food freight and the grocery industry in Los Angeles as a case study, it links transport mode d…
Di Vaio A.
This study examines how European port ecosystems innovate circular and regenerative business models through carbon insetting — reducing or sequestering emissions within the value chain. It analyzes how port-based collaboration can align Sco…
Ning J.
This study applies life-cycle assessment (LCA) to account for greenhouse gas emissions from China's agricultural system. Agricultural emissions form a major share of Scope 3 and supply-chain footprints, so robust accounting methods underpin…
Yang K.H.
Proposes a data collection platform for greenhouse gas emission factors in smart farm settings, aiming to build and standardize the coefficient data needed for agricultural emissions accounting. Details are unavailable (no abstract), but it…
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