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 41–60 of 1706 papers
Rattan Lal
Agriculture and land-use change drive roughly a quarter of anthropogenic GHG emissions. This paper examines commodifying soil carbon as a 'crop' — i.e., building agricultural carbon credit markets. It discusses measurement, institutional, a…
Prateek Sharma, Changyuan Lin, Abel Souza +1
The paper argues that widely used software carbon metrics like SCI are underspecified, relying on implicit assumptions about embodied-emission attribution and infrastructure elasticity, so application-level optimizations do not reliably tra…
JC Guzmán-Santiago, B Vargas-Larreta, M Gómez-Cárdenas +5
This study develops regionally calibrated allometric equations to estimate aboveground biomass and carbon for Abies religiosa in Mexico, using 1,919 trees from 13 Regional Forest Management Units. Two additive equation systems for stem, bra…
Imran Khan, Mohd. Razaullah Khan
This paper examines the strategic integration of carbon accounting and climate finance within India's Viksit Bharat framework and the SDGs. It analyzes policy frameworks, financial instruments, and technologies (AI, blockchain, IoT emission…
Zohrabian A.
This paper proposes a data-driven framework to quantify consumption-based marginal emissions factors (MEFs) at monthly and hourly resolution. Time-resolved MEFs enable more accurate accounting of emissions from electricity consumption. It c…
Dou X.
A study estimating the global (consumption-based) and local (production-based) carbon footprints of Hong Kong and Macao from 2000 to 2015. It traces how these urban economies' emissions are structured and how much they depend on outsourced …
Amin Arafa, Ashraf Zahran, Ezzat Elfadaly +1
This study assesses circular economy integration and carbon footprint across Scopes 1, 2, and 3 at a scrap-based steel plant in Saudi Arabia. It links steel decarbonization with resource circularity and applies GHG accounting empirically. N…
Chenyuan Ji, Zengfeng Zhao, Jianzhuang Xiao +3
This study assesses the carbon footprint of 3D-printed residual mud concrete over its service life, incorporating uncertainties in mechanical and durability performance. It links waste-derived material use with construction decarbonization …
Navneet Kaur, Shegufta Shetranjiwalla, Subarna Dey +1
This study evaluates the eco-costs and carbon footprint of carboxymethylating paper mill sludge as a circular valorization route. It quantifies how converting an industrial waste stream into a usable material affects environmental burden an…
Paulo Sergio Pinheiro Lima
Reimplements modules M1 (mass) and M2 (manufacturing GHG) of the i3ET model as an auditable, testable program with a web interface. It reproduces vehicle mass across 72 configurations and cradle-to-gate emissions for twelve reference vehicl…
Sunbowen Zhang, 徐朝斌 XU Chaobin, Linsheng Wen +4
This study analyzes county-level carbon budgets in Fujian Province, China (2000-2023), mapping spatiotemporal dynamics of emissions and sequestration. Emissions show a coastal-high, inland-low pattern, while compensation rates are temporall…
Seokju Kim, Dohyeon Kim, Sanghyuk Koh +2
A life cycle assessment of electrochemical direct ocean capture (DOC) that applies Scope 1–3 carbon accounting and identifies supply chain emission hotspots. It quantifies net removal and environmental burdens of an emerging marine CDR path…
Ahmed Fageeri, Ousmane Hisseine
This review couples a literature survey with data-driven analysis of 200+ UHPC mixtures to link mix design, mechanical/durability performance, and embodied CO2. Random Forest predicts compressive strength accurately, and cement content abov…
Maartje Sevenster, Brook Burrett
A 2024-updated greenhouse gas account for the Australian grains sector covering 2020. It provides a national/industry-level inventory of emissions from grain production, useful as baseline data for agricultural Scope 3 accounting and supply…
Xianlu Ao, Liang Dong, Chenxi Zhou +1
Using China-ASEAN agricultural trade data (2002-2021), this study applies Double Machine Learning to examine how agricultural land use efficiency (ALUE) and bilateral trade policy friendliness (TPF) shape net embodied carbon transfer (NECT)…
Zhi-Jie Jia, Zhi-Heng Qin, Yongqiang Xu +5
This study quantifies the carbon and nitrogen footprints embodied in China's interprovincial trade of rice, wheat and maize. It finds aggregate environmental gains from trade concentration, offset by crop-specific trade-offs. It offers a su…
Lijie He, Zirui Zhang, Weicong Luo +2
This study quantifies interprovincial virtual water-land-carbon flows (VWLCF) in China's agricultural trade and proposes an equity-based compensation framework. By 2030, virtual water, land and embodied carbon are projected to rise 12.23%, …
Sachin Kumar Verma, Dr. Preeti Singhwal, Ajender Kumar Malik +1
This study builds a sustainable inventory model for deteriorating items that jointly optimizes preservation-technology investment, shortage timing, carbon-emission costs and trade credit, with demand sensitive to selling price and product g…
Sinlapachat Pungpa, Wataru Takeuchi, Pantip Piyatadsananon +1
This study develops a machine-learning and multi-sensor remote sensing approach to estimate mangrove aboveground biomass (AGB) in Banlaem forest, southern Thailand, using Sentinel-1, ALOS2/PALSAR2, and UAV data. A GA-optimized SVR model ach…
Beltrami F.
This paper estimates zonal and seasonal CO2 marginal emissions factors for the Italian power market. Marginal factors capture how an incremental change in electricity demand shifts actual generation and emissions, offering more accurate acc…
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