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 641–660 of 665 papers
Emilia Pupsitsari, A. Nawangsari
This paper identifies the causes of low quality and inconsistency in carbon accounting in Indonesia: absence of national standards, limited technical capacity, and insufficient digital infrastructure. A systematic literature review of 2019-…
N. Giridharan, Dhayanithi V, S. S +1
This paper presents an AI-based platform that integrates diverse organizational data (energy, commuting, supply chain) to automate carbon footprint measurement and ESG reporting. Using AI for validation and estimation, it achieves higher re…
(著者不明)
This paper provides policymakers with a blueprint for integrating OGMP 2.0-aligned methane reporting into regulatory MRV frameworks. It leverages the UNEP IMEO's leading MRV standard for the oil and gas industry, offering step-by-step guida…
Janna Axenbeck, S. Kunkel, Joris Blain +1
This study reveals that global emissions from digital technologies between 2010 and 2021 were largely obscured in greenhouse gas emission accounting standards. It highlights the inadequacy of current carbon accounting frameworks in capturin…
K. R. Gurney, Bilal Aslam, P. Dass
Climate Trace is an AI-based dataset for roadway-scale GHG emissions. This study compares its onroad CO2 emissions estimates for U.S. urban areas with the Vulcan Project's estimates, finding a mean relative difference of 69.9%. Biases in th…
Kailash Chand Choudhary, Sakshi Rajput, Atul Choudhary +3
Agriculture accounts for about 23% of global GHG emissions, primarily from CO2, methane, and nitrous oxide. This paper proposes an AI-enabled smart carbon farming system to achieve climate-positive agriculture by optimizing carbon sequestra…
Timothy D. Searchinger, Liqing Peng, Daniela Russi +1
This paper suggests that BECCS using forest biomass may lead to decades of net emission increases due to carbon debt, undermining near-term climate targets. It challenges the assumption that forest-based BECCS provides immediate climate ben…
Juraj Petrík, Gert Jan Kramer, Vivian Tunn +1
This paper presents a novel macro-level carbon flow mapping method using national accounts data, applied to the Netherlands with 11 product categories and 12 transformation sectors. Results show heavy reliance on carbon imports/exports and …
Hamza Alhamza, Zindzi Kwavayi, Abdulkarim B Sayed +4
This study conducts a monthly hybrid carbon footprint assessment for a 511-bed Saudi hospital, finding 2023 emissions of 41.76 kt CO₂e with near parity between Scope 2 (49.13%) and Scope 3 (48.55%). Summer electricity peaks from cooling dem…
Jörg Mayer
This policy paper challenges the carbon-centric view of climate interventions by distinguishing the biophysical cooling function of forests (evapotranspiration, BVOCs, cloud formation) from CO₂ sequestration in croplands via mycorrhizal fun…
Wen Zhao, Xiaolong Zhang, Hengzi Huang +1
This paper proposes an improved calculation model for grid carbon emission factors, addressing limitations of the emission factor approach. It incorporates spatial, temporal, and mechanistic optimizations, and provides formulas for deductin…
Anderson Yu
This white paper presents the PADV-NTCC methodology, a non-tradable verification architecture converting verified behavioral data into audit-ready carbon and ESG metrics. Using the Four-Ring Model, it generates Non-Tradable Carbon Records (…
Nurmatov Samandar
This paper assesses the economic cost of greenhouse gas emissions from digital infrastructure including data centers, networks, consumer devices, blockchain, and AI. Using energy consumption data and social cost of carbon estimates, it valu…
Anthony Vaz, Allan Lee Sit Choy
This study investigates factors influencing ESG adoption among Malaysian logistics SMEs, focusing on carbon-conscious reporting under the Simplified ESG Disclosure Guide (SEDG). Using a survey of 156 professionals and regression analysis, i…
Aneurin Merrill-Glover, James Palmer, Roosa Rytkönen +1
This article examines the categorical challenges faced by UK peatland carbon credits in emerging natural capital markets. Peatland restoration generates emission prevention credits, but market demand favors removal credits, hindering invest…
Su-Heon Jang, Taeyoung Kim, Seong-Jik Park
This study compares GHG mitigation technologies and their integration into national inventories across eight countries, including Korea, Japan, and the US. Japan and the US have advanced Tier 2-3 inventory structures with country-specific e…
Mingming Wen, Quan Chen, Zhaoheng Lv
This study analyzes the spatiotemporal evolution and trend prediction of carbon emissions from Litopenaeus vannamei aquaculture in China. Using a GIS-LCA model with Theil index, kernel density estimation, Moran's I, and spatial Markov chain…
Weiqin Liu, Zulnaidi Yaacob
This study examines how carbon disclosure quality (CDQ) affects corporate financial performance (CFP) and whether internal control (IC) moderates this relationship, using a panel of 1,218 Chinese A-share firms from 2010-2023. It constructs …
Zhihao Zhang, Jeff S. Rutherford, James Littlefield +8
This study estimates lifecycle GHG emissions from US natural gas supply using data from one million wells covering 91% of 2023 production. It integrates aerial measurements to capture methane superemitters. Total emissions are 719 MMT CO2eq…
Shristi Agarwal, Rajni Gupta
This study analyzes Scope 1, 2, and 3 emissions of four major Indian energy firms from FY2021-24. Emissions intensity improved initially but slowed later; Scope 3 shows consistent decline. Significant inter-firm disparities highlight accoun…
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