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 261–280 of 2147 papers
Kayral İ.E.
An empirical study comparing corporate carbon performance across sectors and countries. It quantifies how far net-zero progress diverges by industry and geography, informing cross-country comparability of corporate disclosure and decarboniz…
Timm Draeger, C. Peper, Panagiotis Spyridis
Using a real industrial building in northern Germany, this study compares cast-in-situ, fully precast, and semi-precast concrete systems on identical functional units for direct cost and construction-phase embodied carbon (EN 15978 A1–A5). …
Somjintana Kanangkaew, N. Suriyanon, D. Rinchumphu +4
This study develops a localized BIM-integrated LCA workflow using Thailand's TGO database, linking Autodesk Revit with Kit Carbon for real-time embodied carbon assessment. Validated on a 13-story parking building at Chiang Mai University (m…
Zi-Qi Qin, Kai-Yu Guan, Ya-Lin Li +20
This study quantifies field-level cradle-to-farmgate carbon intensity (CI) of corn and soybean feedstocks by integrating a process-based model (ecosys) with an LCA tool (GREET). Monte Carlo analysis identified plant trait parameters as the …
Jing Wang, Wei Tian, Huanquan Pan
This study develops a carbon-accounting and decision-support workflow coupling reservoir simulation with surface-equipment modeling to embed emissions and carbon costs into NPV optimization for an offshore oilfield. Across 32 carbon policy …
Lakshmi Shetty, Arpit Singh, Ashish Dwivedi +3
This work examines how Industry 4.0 technologies (IoT, AI, digital twins) enable digital carbon footprint measurement to cut energy use and GHG emissions. It links digitalization of production with carbon accounting and efficiency gains. No…
Matthew Taylor
Health technology assessment (HTA) often limits environmental evaluation to the direct carbon footprint of a technology. This paper proposes four methodological extensions: capturing downstream impacts, the environmental effects of displace…
Deliang Xiao, Jun Jin, Yi Qiu +5
This study compares cradle-to-gate (A1–A3) carbon footprints of solid wood flooring (SWF) and underfloor-heating solid wood flooring (HWF) from one Chinese manufacturer. Baseline GWP100 was 14.18 kg CO2e/m² for SWF and 17.54 for HWF; HWF-sp…
Juan Wang, Ziming Li, Qiang Tu
Using 571 Chinese listed heavy-polluting firms (2011–2021), this study examines how enterprise carbon risk attention (ECRA), measured via textual analysis, affects carbon abatement costs (CAC), measured by the shadow price of carbon emissio…
Ruizhang Yang, Charalambos Konstantinou, Zhuang Xiao +1
This paper proposes a node-aware spatiotemporal carbon tracing method integrating PTDF with dynamic train-node mapping to quantify nodal carbon intensity (NCI) for electrified railways. A two-stage hierarchical control embeds NCI signals in…
Silvia Montagnania, Barnabé Ledoux, Jürgen Scheffran
GDP-normalised territorial carbon intensity is widely used to gauge national decarbonisation, yet it is sensitive to short-lived exogenous shocks. Using Kuwait's 1991 Gulf War oil-well fires, the authors quantify a sharp, temporary spike dr…
Soumyadeep Das, Shouvik Kar, Poulami Chhetri +1
This critical narrative review synthesizes soil carbon science, environmental economics, contract design, voluntary carbon markets, farmer behaviour and value-chain governance to assess carbon farming's agribusiness viability. Measurement u…
Myroslav Sanytsky, O.R. Kotsii, I.M. Hevyuk +1
Low-carbon sulfate-resistant pozzolanic cement CEM IV/B(P-V) 32.5 R-SR achieved 46.0 MPa compressive strength with lower hydration heat (254.1 J/g) than slag cement. Organo-mineral modification raised 28-day concrete strength from 35.1 to 4…
Thanphitcha Muaksang, Sapit Diloksumphun, Bernard Dell +4
This study assesses carbon sequestration in Khung Bang Kachao, an urban green space near Bangkok, using field data from 12 plots and Random Forest modeling. Aboveground carbon sequestration reached 75,789.92 tCO2e in 2025, exceeding local e…
Hyeonwoo Jeong, Jinyoung Park, Sumin Kim +1
A study by researchers affiliated with Korean universities on enhancing timber production and carbon sequestration to support sustainable building materials and carbon neutrality. It links forest-based carbon storage to decarbonization in t…
Zixi Zhou
A survey of 48 AP high school students in China examines incentives for second-hand trading as part of circular economy and dual-carbon goals. Annual school-supply spending averaged CNY 1,536 with CNY 784 in idle items, yet 87.5% left items…
H. A. Taylor, Nazneen Rahman
Using Freedom of Information requests to 196 English NHS trusts in 2021 and 2024, this study assessed medicine carbon footprint (MCF) practices. Calculation remained uncommon (30/178 in 2021; 46/182 in 2024), and spend-based emission factor…
Chunhui Sang, Hongzhen Zhang, Yuting Huang +3
Integrating LCA with a net ecosystem carbon budget framework for two former Chinese steel plant brownfields, this study quantifies remediation-stage emissions (21,226–73,849 t CO2-eq) and shows afforestation compensates only 12–40% of that …
Xinqi Yao, Feng Yuan, Yu Song +3
A cradle-to-grave LCA of a 41 t diesel-electric RTG crane per ISO 14040/14044/14067. Baseline footprint is 3,735.73 t CO2e per crane (1.868 kg CO2e/TEU), with the use phase contributing 84.77%. Monte Carlo analysis confirms operational ener…
Gouthami Eragamreddy, Indrajit Pal, S. Ramacharan +1
This paper proposes a computational engineering framework for assessing and optimizing the environmental footprint of academic events. It integrates activity-based carbon modeling, IoT-Edge-Cloud sensing, and multi-objective optimization (M…
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