GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #Carbon Accounting (clear)

Showing 281–300 of 1706 papers

Peer-reviewedJournalEnvironment and Natural Resources Journal2026#Carbon AccountingDOI

Changes in Carbon Stocks and the Economic Value of Forest Carbon in a Secondary Forest of Mt. Nacolod, Silago, Southern Leyte, Philippines

Christian Albert L. Martinez, Renezita S. Come, Dennis Peque +2

This study evaluates carbon stocks and economic value in a Philippine secondary forest using tree inventory data from 2012, 2016, and 2024. The forest stored 202.4 Mg C/ha, comparable to old-growth forests, with a sequestration rate of 2.53…

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Peer-reviewed🌍 GlobalJournalBiogeosciences2026#Carbon AccountingDOI

Quantifying the influence of wood carbon fractions on tree- and forest ecosystem-scale carbon estimation in a temperate forest

Adam R. Martin, Dilene Mugenzi, Sean C. Thomas +8

Using data from over 39,000 trees in a Canadian temperate forest, this study quantifies how species-specific wood carbon fractions affect carbon stock estimates from tree to forest scales. Compared to generic assumptions (e.g., 50% CF or IP…

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Peer-reviewedJournalInternational Journal of Life Cycle Assessment2024#Carbon AccountingDOI

Replacing location-based electricity consumption with market-based residual mixes in background data to avoid possible double counting: a quantitative analysis of effects and challenges

Holzapfel P.

This paper quantitatively analyzes the effects and challenges of replacing location-based electricity consumption with market-based residual mixes in background data to avoid double counting. It provides insights for accurate Scope 2 emissi…

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Peer-reviewedJournalJournal of Accounting Research2025#Carbon AccountingDOI

Measuring Greenhouse Gas Emissions: What Are the Costs and Benefits?

Mahieux L.

This paper analyzes the costs and benefits of measuring greenhouse gas (GHG) emissions, highlighting the economic implications for firms and policymakers. By weighing measurement costs against reduction benefits, it offers insights for effe…

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🌍 GlobalJournalFigshare2026#Carbon AccountingDOI

Urban Embodied Carbon Reduction Checklist

Meghan Lewis, Brook Waldman, Monica Huang +1

This template provides a checklist for design and construction teams to systematically discuss embodied carbon reduction strategies for their projects, helping them consider relevant options.

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🇺🇸 USAJournalFigshare2026#Carbon AccountingDOI

The Time Value of Carbon

Larry Strain

This white paper examines the temporal impact of embodied carbon in buildings, emphasizing that early emissions have a greater climate impact. It provides practical guidance for architects and builders to reduce embodied carbon through desi…

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Peer-reviewed🇺🇸 USAJournalInternational Soil and Water Conservation Research2026#Carbon AccountingDOI

Greenhouse gas sequestration estimates from agricultural conservation practices in Kansas, Oklahoma, and Texas: Merging USDA conservation program enrollment data with comet-planner model data

Edwin Coleman, Franklin Bailey Norwood

This study estimates GHG sequestration from agricultural conservation practices in Kansas, Oklahoma, and Texas by merging USDA program enrollment data with COMET-Planner model outputs. It quantifies regional carbon sequestration potential, …

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Peer-reviewed🇺🇸 USAJournalJournal of Cleaner Production2026#Carbon AccountingDOI

A cradle-to-grave life cycle assessment of United States’ grain and pulse carbon footprint using Bayesian machine learning and global uncertainty analysis

Bismark Asante, David Ripplinger

This study assesses the cradle-to-grave carbon footprint of US grains and pulses using Bayesian machine learning and global uncertainty analysis. It provides a robust quantification of agricultural GHG emissions, offering insights for susta…

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