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 1881–1900 of 28694 papers
Timothy N. Mkandawire, Matthias Nnadi
An empirical study examining how ESG disclosures affect corporate credit spreads and their term structures. It explores whether richer ESG disclosure is priced into bond markets, linking disclosure quality to financing costs and market valu…
Mujiono, Wahidahwati
Using PLS-SEM on Indonesian consumer non-cyclical firms (2017–2024), this study finds ESG disclosure does not significantly affect firm value, suggesting the Indonesian market has yet to price sustainability information. Intellectual capita…
Shelly Giovanni, Anisa Kusumawardani, Sari Rahmadhani
Using PLS-SEM on 88 Indonesian tech firms (2021-2024), this study examines how fraudulent financial reporting (FFR), financial performance, and sustainability disclosure affect firm value, with ESG as a mediator. Financial performance and E…
Bhola Paudel, Shyh Wei Teng, Ramachandra Rao Kolluri +1
This paper reviews the architecture of sustainability governance instruments in Australian agriculture through documentary analysis. It identifies four layers: national frameworks, commodity frameworks, regulatory/assurance systems, and dat…
Chanachon Numin
A multi-objective Green Vehicle Routing Problem model balances operational costs and carbon footprint for a Thai building-materials distributor delivering from one DC to 14 branches. Optimal routing uses 5 vehicles over 4,382 km. Comparing …
Bero H. G. Schnell, Selina Lang, Jonas Follmann +1
The paper proposes CO2FE, a simple metric for comparing the carbon footprint efficiency of laboratory chemicals in life science research, avoiding time-intensive LCA. A four-step workflow—identify alternatives, assess life-cycle data, valid…
Aisu Mustafaevna Bodur, Victor Sergeevich Tokarev, Alexander Sergeevich Nevzorov
This paper reviews digital technologies for reducing agriculture's carbon footprint and supporting sustainable development. It surveys global and Russian GHG emissions and examines smart greenhouses, smart farming, IoT, AI, and big data. Th…
Angelina A. Maerle, Grigorii K. Ivanov, Liudmila I. Rodionova +1
ZnGa2O4 spinel was deposited on mesoporous aluminosilicates (MCM-41, SBA-15) to synthesize catalysts converting CO2 to dimethyl ether, tested at 200°C and 2.7 MPa. CO2 conversion reached 17%, governed by the oxide component rather than pore…
Sonu Kumar Singh
This monograph examines carbon-aware scheduling in Microsoft Azure as a set of engineering obligations spanning design, governance, and empirical evaluation. It argues cloud efficiency should be measured as cost and resource consumption per…
Sonu Kumar Singh
This monograph examines how carbon-aware scheduling should be designed, governed, and empirically evaluated for Google Cloud. It frames cloud efficiency as cost and resource consumption per successful workload under service-level constraint…
Phuong Nguyen Minh, Quan Nguyen Van
Artisanal silk producers remain excluded from carbon finance despite low-carbon methods. This paper proposes a Silk Credit (SC) model combining carbon avoidance (CA) and a longevity factor (LF) via Entropy-AHP weighting (SC = w1·CA + w2·LF)…
Maria A. Paim, Thales A. P. West, Eymmy Silva
This spatial dataset maps overlaps between voluntary REDD+ project polygons and official land-tenure polygons in Pará, Brazil. It reveals how carbon-credit areas intersect with public and traditional lands, exposing governance tensions arou…
JOEL ANDERSON FLORIAN AREVALO, JASON ANDERSON GALVEZ LUNA
Noting that under 20% of studies operate at microscale and none integrate all functional layers, this paper proposes a five-layer digital-twin framework: data acquisition, assimilation, microclimate simulation, nature-based-solution optimis…
JOEL ANDERSON FLORIAN AREVALO, JASON ANDERSON GALVEZ LUNA
Noting that under 20% of studies operate at microscale and none integrate all functional layers, this work proposes a five-layer digital-twin framework: data acquisition, assimilation, microclimate simulation, nature-based-solution optimisa…
Chien-Ching Chi, Cheng‐Han Lee
This study experimentally evaluates using desalination brine as a feedstock for carbon capture and utilization (CCU) via various Solvay-based processes. It systematically compares process routes to valorize brine while fixing CO2, turning a…
Xiaoyi Hu, Yiru Chen
Using Chinese provincial panel data (2006–2023), this study finds green finance significantly reduces regional carbon emission intensity, with green innovation (green patents) acting as a full mediator. Effects are stronger in lower-income …
Andreas Bengtsson, Mijung Cho, Jenny Bengtsson +3
Cellulose-lignin filaments were dry-jet wet spun and carbonized with varying draw ratios (1-1.5). Stretching improved molecular orientation and mechanical properties; 50% lignin precursors showed a 25% modulus increase, reaching 58 GPa afte…
Jinglong Chen, Qinyi Gu, Wencheng Lin +1
This study applies a large language model to conduct multitopic analysis of how China's low-carbon policies diffuse across regions and time. It demonstrates an AI-driven method for mapping policy theme propagation from policy text. As an ea…
Youxi Shan, Yineng Li, Peiru Chen +2
Using panel data from 89 major grain-producing counties in Sichuan (2010–2022), this study measures cropland low-carbon transition performance via a GB-US-S-SBM model. Performance rose from 0.558 to 0.618, higher in the northeast and lower …
Khalid Abdullah Alotaibi, Mahmoud Ali Kanakri, Rami Abdulatif Sa'di +1
A discourse-pragmatic analysis of Saudi Aramco's 2024 Arabic sustainability and annual reports shows a dual chronology: hydrocarbon demand is framed as continuous and durable, while low-carbon initiatives are organized around 2030/2035/2050…
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