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 241–260 of 2021 papers
Wang, Yichuan, Song, Suying
Analyzing U.S. GHGRP Subpart HH landfill methane reports, this study shows that reliance on unmeasured default methods varies by ownership, with public firms using defaults less. Gas collection installation is associated with a 45% decline …
Schuman. William C, Ciocîrlie, Ionuț-Alexandru
This paper analyzes parcel-level deforestation hazard rates in the Paraguayan Chaco, revealing that annualized clearing rates (mean 14.99%) exceed regional averages, raising concerns about REDD+ baseline over-crediting. A scaling identity r…
Cheng, Tianjiao, Onoda, Hiroshi
Applying a per-plant carbon balance to all 874 Japanese municipal waste incinerators, this study shows that accounting conventions (biogenic-neutral vs. biogenic-removal) determine whether geological CO2 storage yields creditable abatement.…
(著者不明)
This paper proposes a hybrid LCA framework for drug-level carbon footprint assessment under data constraints, applied to narrower-spectrum penicillin. It offers a practical methodology for estimating supply-chain emissions in the pharmaceut…
Carrera-Villacrés D.V.
This paper presents a case study on calculating the carbon footprint of the Universidad de las Fuerzas Armadas ESPE in Ecuador using IoT devices. It proposes a method for real-time data collection on energy consumption and activities to vis…
Bowen Butchart D.
This paper advances the quantification of greenhouse gas emissions from Australia's beef cattle and sheep industries, highlighting the interplay between carbon sinks and emission hotspots. It provides insights for agricultural emission redu…
Chao Wang, Dong-Jun Lv, Xuan Sun +4
This paper optimizes the mixture of marine concrete with composite expansive agent (CPA), assessing both durability and carbon footprint. It demonstrates that adjusting mix proportions can reduce CO2 emissions while maintaining durability, …
Wisdom Okere, Cosmas Ambe, Sanele Phumlani Vilakazi
This study analyzes 10 Nigerian oil and gas firms (2014-2023) using panel regression to examine the link between carbon reporting and financial performance. Results show a significant positive relationship between carbon emissions and EPS/s…
Andyokonkwo Ebere Ijeoma, Obi Obianuju, Azode Nneora +2
Using panel data from 15 listed Nigerian oil and gas firms (2016-2025), this study finds that carbon accounting practices (measurement, disclosure, regulatory compliance) positively affect firm value (Tobin's Q), with disclosure having the …
LNEG
This paper presents a common assessment framework for quantifying carbon footprints of five research facilities in the EU-SOLARIS ERIC network, following the GHG Protocol. It ensures methodological consistency and comparability across sites…
Benjamin R. Paul, Joshua S. Bingham, Samantha Tolentino +4
This study demonstrates that GHG emissions from MRI and CT are driven more by the carbon intensity of the local power grid than by imaging utilization. It suggests that decarbonizing the electricity supply is more effective for reducing emi…
Nadia Solange Schmidt da Silva, Christian Luiz da Silva
Brazil's ABC+ Plan sets physical and climate targets for low-carbon agriculture, but climate targets are accounting estimates from fixed emission factors, not measured outcomes. Analyzing 2020-2025 regional data, this study finds systematic…
Isyaka Abdulkadir, Leong Sing Wong, Rasel Bepari +7
This paper investigates the use of low-kaolinitic calcined brown clay in carbon-fiber-reinforced mortar, focusing on mechanical compensation, RSM-based optimization, and embodied carbon assessment. It aims to reduce the environmental footpr…
Franka Wehrle, Hansjürgen Thomas Agostini, Karl Ulrich Bartz-Schmidt +15
This multicentre study quantified the carbon footprint of outpatient cataract surgery across ten German centres, finding an average of 14.09 kg CO2e per procedure. Disposable materials and sterilization dominate emissions, with significant …
Ally Mkumbukiy, Erick Mayani, Magreth Katole +1
This systematic review of 60 articles examines the carbon footprint of tea agrifood systems, identifying electricity and energy as primary emission sources, followed by fertilizer overuse and coal/firewood in processing. Consumption account…
Francisca Nunes de Almeida Martins, Javanshir Fouladvand, Biobased Economy
Develops an open-source carbon calculator for TV production life cycles, applied to Dutch programs. Finds emissions range 251-374 tCO2e per season, with production and distribution as hotspots. Scenario modeling shows 13% reduction potentia…
Victor-Alexandru Briciu, Elia Zinger, Christian Gabriel Strempel +1
This study audits the carbon footprints of 12 UNITA alliance university homepages using the Website Carbon Calculator. Emissions range from 0.08 to 2.38 g CO2e per page view, with grades from B to F. Five institutions use green hosting. Rep…
Wen-Sheng Ou, Yu-Sheng Chang
This study develops an EN 15804-based upfront carbon (A1-A5) assessment model for deep microtunneling vertical nodes in Hualien, Taiwan, under deep excavation and hard gravel strata. Empirical results show construction energy (A5) contribut…
ปิยะฉัตร ศรีชมภู
This study empirically analyzes the impact of carbon accounting disclosure on firm performance (ROA and Tobin's Q) using panel data from Thai heavy industry firms listed on the SET from 2022 to 2024. Disclosure levels were assessed via dich…
Chang Lu, Qin-Lin Guo, Zhi-Yu Wang +3
This study analyzes the spatial network structure of land use carbon emission efficiency in urban agglomerations of the Yellow River Basin using super-efficiency SBM and social network analysis. Efficiency improved but spatial disparities w…
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