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 41–50 of 50 papers
Rodrigo Gil, Carlos Morillas, Jose Traub +3
This study conducts a SWOT analysis comparing production-based (PBA), consumption-based (CBA), historical cumulative (HBA), and per capita-based (PCBA) GHG accounting frameworks across 23 major emitting countries. It reveals dramatic rankin…
Harshvardhan Jagannath Wagh, J. Wagh, Girish Ramrao Uike
This review examines three pillars of circular bioeconomy in farming—residue recycling, biochar systems, and organic amendment management—for climate mitigation. It analyzes emission reductions, carbon sequestration, and MRV approaches, emp…
L. Judijanto
This paper examines the opportunities and challenges of POME-based SAF under ICAO CORSIA, highlighting carbon-accounting advantages due to residue classification and low default life-cycle emissions. It identifies supply-chain variability, …
Camilla Citterio, Nicolò Golinucci, Lorenzo Rinaldi +1
This paper systematically reviews methodologies and quantitative results on carbon footprint of electricity. It evaluates emission factors by energy source and consistency of accounting methods, highlighting trends. The findings inform ener…
Kimmo Lylykangas, Fabian Dembski, Anssi Joutsiniemi +1
This study investigates the use of urban digital twins (DTs) for subnational spatial greenhouse gas (GHG) accounting. Interviews and case studies from frontrunner cities reveal that current GHG inventories and DT initiatives are largely dis…
He Peng Yang, Norhaiza Bt. Khairudin, Danilah Salleh
This study uses 48,187 observations of Chinese A-share firms from 2012 to 2024 to develop an interpretable machine learning model predicting corporate carbon disclosure. GBDT achieves the best out-of-sample performance (R²=0.5191). Key pred…
Thomas Pioch
This dissertation examines corporate GHG reporting through four studies: data quality issues, estimation methods for missing data, effects of mandatory reporting regulations on emissions, and determinants of managers' emission reduction inv…
Yunqian Bai
This thesis examines the critical role of carbon accounting in measuring, managing, and reporting environmental impacts, focusing on carbon emissions, water usage, and sustainability. Analyzing S&P 500 CDP data (2010-2019), it finds that lo…
Shreyan N
Salesforce Net Zero Cloud is a cloud-based carbon accounting and ESG reporting platform that tracks Scope 1, 2, and 3 emissions, generates audit-ready reports aligned with GHG Protocol, CDP, SASB, CSRD, and TCFD, and uses AI for forecasting…
Yi Qian, Isuri Amarasinghe, Harshani Dissanayake +4
This paper examines how forest carbon data and accounting frameworks support long-lived carbon storage in buildings in Australia, in the context of COP28. It reviews global initiatives promoting timber construction, assesses Australia's for…
Browse by Topic