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 81–100 of 1298 papers
D. Rahayu, Elin Rosliani, Salman Al Farizi
This design science research proposes a carbon footprint monitoring system integrating GSCM principles and GHG Protocol for manufacturing. Using RUP, it delivers use cases, system architecture, and UI, supporting Scope 1-3 emission calculat…
Gangwei Cai, Xiaoting Guo, Jian Chen +7
This study evaluates carbon emission reduction potential of robotic 3D printing and prefabricated construction in lower-star hotels in Hangzhou, China (2018-2023). Using a multidimensional ternary spatiotemporal model, it finds 20-35% embod…
Simona Roxana Pătărlăgeanu, Mihai Dinu, Luxița Rîșnoveanu +2
A multi-objective Goal Programming model combined with LCA optimizes crop mix and management for a 300-ha Romanian farm, achieving near-zero carbon (0.33 tCO2eq) while cutting nitrogen inputs to 35.7% of the EU Nitrates Directive limit and …
M. Satria
This study examines the influence of firm size and leverage on carbon emission disclosure among 19 Indonesian SOEs from 2021-2024. Using GRI 305-based content analysis and regression, it finds firm size positively and leverage negatively as…
Harold Opdenbosch, Emilia Mattsson, Oyakhilomen Oyinbo +3
Surveying 179 Swedish farmers, this study examines preferences for co-benefits (carbon sequestration, biodiversity, soil health) of cover cropping eco-schemes. Latent class analysis reveals two farmer types: 'responsive' farmers valuing non…
Abdulrahman Al-Hashimi, Mohammed Darwish, Norah S. Al-farraj +5
This study quantifies carbon stocks and credit potential in a semi-arid forest in Saudi Arabia, showing that biomass and carbon increase with altitude, reaching up to 509 Mg CO2e/ha and $17,828/ha in credit value. It suggests integrating ca…
Hans Raj Meel, Aakash Kumar Saini, Riya Das +6
This review comprehensively evaluates the role of soil organic carbon (SOC) sequestration in mitigating climate change and enhancing agricultural sustainability. Management practices like conservation agriculture, agroforestry, cover croppi…
(著者不明)
This paper analyzes the implementation of green accounting in Uzbekistan, focusing on its economic and environmental significance, challenges, and prospects. It empirically assesses how environmental costs, carbon footprint, resource effici…
Julien Andrieu, Safietou Soumaré, Matthieu Vignal +4
Remote sensing assessment of Senegal's large-scale mangrove replantation reveals actual success rate of 18-20%, leading to 3.5x overestimation of carbon credits. Recommends spatially explicit validation methods and improved site/species sel…
Mojtaba Sedaghat, Antonio García Martínez, Shayesteh Hamidkhaniha
This review systematically compares material traceability frameworks for construction CO2 accounting, highlighting inconsistencies in standard EPD data. It proposes integrating Digital Product Passport (DPP) with Building Information Modeli…
Pushpendra Pushpendra, Elias Vollert, Dominic Bresser +1
This paper assesses the contribution of graphite to the carbon footprint of lithium-ion battery production, quantifying its share in total emissions and identifying reduction potential across the supply chain. The findings provide insights …
Ukri-Pekka Puruskainen
Based on interviews with Finnish food processors, this thesis examines corporate carbon footprinting (CF) practices and barriers. Companies perceive CF as complex, struggling with scope definition and emission measurement, especially at the…
Olena Chornovol, Alex Norta
This study addresses rising carbon emissions from expanding M2X (Machine-to-Everything) economies by designing a blockchain-based impact index layer using smart contracts. The methodology leverages transparent and liquid data for trusted in…
Jakub Machovec
This thesis presents a practical approach to measuring, managing, and reducing corporate carbon footprints. Using a Czech dietary supplement manufacturer as a case study, it calculates 2024 base-year emissions per GHG Protocol, finding Scop…
Guangyu He, Huan Zhou, Chen Wang +3
This paper proposes a method for dynamically tracking product carbon footprints by inferring emissions from electricity consumption. It enables near-real-time accounting and more granular GHG management at the product level. Potential appli…
Andreas Geß, Irene Viola, Silvia Miretti +4
This study integrates Life Cycle Assessment (LCA) with animal welfare (cortisol accumulation) analysis for two sheep farming systems in northern Italy (semi-extensive and semi-intensive). The intensive farm showed lower global warming poten…
Han Zhao, Weiyi Liao, Lin Fu +5
This study assesses the carbon footprint of China's healthcare system from a global perspective, identifying multi-dimensional hotspots for greenhouse gas emissions. It provides a sector-level inventory and pinpoints priority areas for deca…
Shanshan Zheng, N.A.K. Nandasena, Cheng Chen +1
Using OECD input-output data, this study estimates embodied carbon emissions in maritime transport across BRICS (1995–2018) under producer, consumer, and shared responsibility frameworks. China and South Africa show export-driven emissions,…
Benjamin Goldstein, Rylie E. O. Pelton, Dimitrios Gounaridis +3
This study quantifies and maps GHG emissions from beef, chicken, and pork consumption ('carbon hoofprint') for all 3,531 U.S. cities using supply chain models and spatial carbon accounting. Total emissions are 329 MtCO2e, with per-capita fo…
Petra Zsuzsa Lévay, Josefine Vanhille, Tim Goedemé +1
This study empirically examines how Belgian households' carbon footprints vary with socio-economic characteristics such as income and household composition, providing evidence for distributional analysis and equitable climate policy design.
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