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 361–380 of 2021 papers
Qing Wen, Jiajun Gong, Yilei Liu +1
Under China's dual-carbon targets, this study analyzes land-use changes and their impact on carbon emissions, storage, and balance in mountainous counties using InVEST, PLUS, and Gray Models from 2000 to 2020, projecting 2040 scenarios. It …
Anirban Akhand, Inés Mazarrasa, Stacey M. Trevathan‐Tackett +10
A review of 102 studies finds that 56±25% of soil organic carbon in blue carbon ecosystems is allochthonous particulate organic carbon (POC). Including it in carbon accounting risks overestimation and double-counting, but its role in stabil…
Ridwan Lanre Ibrahim, Abiodun Toheeb Emiola, Abdul Rahman Bin S. Senathirajah +3
This study analyzes how trade openness and energy dependence affect production-based, consumption-based emissions, and the carbon gap in 30 developing countries using CS-ARDL and CCEMG estimators. Findings show trade openness increases emis…
Miller, Gregory J., Rouille d'Orfeuil, Benjamin, Shi, Wenbo
The Open Grid Emissions Initiative provides publicly accessible hourly grid emissions data for the U.S., built on EPA's eGRID with improved data quality and granularity. The 2025 early release includes plant and subplant-level data only, wi…
(著者不明)
This paper examines the role of allochthonous particulate organic carbon (POC) in blue carbon ecosystems, discussing implications for carbon accounting and stability. It suggests that considering allochthonous POC is crucial for accurate ca…
Tailakov O.V.
This paper constructs a greenhouse gas emissions inventory for a coal mining region, identifying and quantifying emission sources. It clarifies the regional emission structure, providing baseline data for decarbonization policies.
Samuel Ayeni, Abubakar Halidu, Chichebe Victoria Maurice Uwanaka +4
Decarbonizing construction requires whole-life carbon accounting beyond operational energy. This critical review interrogates evidence for sustainable materials and circular strategies, finding that claimed benefits often rely on lab-scale …
Wei Shan, Xiaobin Jin, Hanbing Li +5
This review maps the evolution of research on carbon effects of land consolidation (LC) using bibliometric analysis and synthesis of 355 records. It identifies a shift from component-based assessments to life-cycle accounting, ecosystem-ser…
Peiyu Xu, Xiaoxiao Xu
This study evaluates the cradle-to-operation net carbon performance of engineered bamboo buildings across 270 Chinese cities. It highlights bamboo as a renewable construction material with carbon storage potential, contributing to low-carbo…
Lina Lechani, Franck Verdonk, Daisy Daigné +6
A prospective study in a French university hospital compared carbon footprints of inhalation anesthesia, TIVA, and spinal anesthesia for operative hysteroscopy. Spinal anesthesia had the lowest emissions, TIVA was the lowest-carbon general …
Usman Abdulrasheed
This study assesses the carbon footprint of Nigeria's Federal Ministry of Education textbook procurement cycle using a gate-to-gate ELCA following ISO 14040/14044. Total emissions were 24,852 kgCO2e, with paper consumption dominating (59.9%…
Rick Hagenaars, Arjan de Koning, Reinout Heijungs +2
Drug-level carbon footprints vary significantly across countries, but data scarcity hinders estimation. This paper develops a hybrid LCA framework combining drug-level inventories with international trade statistics and uncertainty assessme…
Charles Gamble, Pushkar Joshi, Preetham Kodumuri
This single-centre study compares theatre-based carbon footprints of five common orthopaedic trauma procedures, finding emissions range from 33.3 to 49.8 kgCO2e per procedure. Consumables account for 34% of emissions, with single-use gowns …
Chatchai Pathumarak
This paper reports the development of a carbon footprint assessment platform for industrial parks in Thailand. It aims to visualize emissions at the park level and support corporate decarbonization. Specific methods and results are unclear …
Abhijit Kumar, S. Sanjay Prabhu
This paper compares the carbon footprints of desflurane and sevoflurane in Indian healthcare settings, emphasizing the need for contextualized assessment. It contributes to decarbonization efforts in the medical sector.
Bahaaaldeen M. Abdulhadi
This paper proposes the Carbon-Driven Decision Gates framework, embedding embodied carbon accounting into construction project stage-gate governance. It redefines project gates as carbon control points with budgets, thresholds, and accounta…
Enoch Ofosu, Kevin Bradley Dsouza, Daniel Chukwuemeka Amaogu +8
Canada's large-scale afforestation is central to its climate commitments, but current carbon accounting ignores surface heat absorption and wildfire vulnerability, risking weak or unstable cooling. Long-term modeling shows mixed-species for…
Nadia Cerone, Luca Contuzzi, Giuseppe Domenico Zito +3
This study conducts a cradle-to-grave Life Cycle Assessment (LCA) of biochar produced from agricultural wood waste via pyro-gasification. Comparing a basic scenario with one that recovers heat, the authors find a Global Warming Potential (G…
Abdi Gemechu Geleta, Lijalem Hailu, Obsa Asefa +3
This study compares natural forest and semi-forest coffee systems in western Ethiopia, assessing the impact of traditional coffee management on forest structure and carbon storage. Natural forest had higher species diversity and carbon stoc…
Xi Pan, Xiong Duan, Yu Yu +2
This dataset supports analysis of carbon storage dynamics in southern Sichuan, China, using Sentinel-2 imagery and machine learning for land use classification, InVEST for carbon simulation, SSP scenarios for future projections, and SHAP fo…
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