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 21501–21520 of 36021 papers
G. Nerlekar, P. Minde
This critical review examines the utilization of drywall gypsum waste powder and ceramic waste powder in concrete from a sustainability perspective, focusing on waste reduction and resource efficiency, and contributing to the circular econo…
J. Puerto, Sandra Uribe, Gilmer Hernández
This study evaluates the effect of pH-controlled sol-gel nanosilica on cement paste performance. Nanosilica synthesized at pH 9 exhibited high specific surface area (655 m²/g) and colloidal stability, increasing 3-day compressive strength b…
M. Gierbienis, Ł. Łukaszewski
This paper presents a comparative life cycle assessment (LCA) of cross-laminated timber (CLT) and concrete for an educational building in Poland. It demonstrates that CLT has a lower carbon footprint and environmental impact, highlighting w…
M. J. Oliveira, M. Pinheiro, Mateo Vergara
This study develops a practical framework for cradle-to-site embodied carbon (A1-A4) assessment of buildings. Applied to a multifamily residential building in Faro, Portugal, it finds that structural materials account for over 75% of total …
S. Saranya, K. Chandrasekar
This review systematically examines how AI technologies (ML, predictive analytics, IoT) enhance supply chain sustainability (carbon reduction, waste minimization) and operational efficiency. It synthesizes cases in demand forecasting, inven…
Husam Ananzeh, Huthaifa Al-Hazaima, Ruaa Binsaddig +3
This study examines the impact of direct and indirect GHG emissions (Scope 1 and 2) on firm value and the moderating role of green investment, using panel data from UK FTSE 350 firms (2017-2024). It finds that emissions negatively affect fi…
Dechun Wang, Hao Ding
This study examines whether public renewable-energy finance (green finance) improves health outcomes in five emerging economies using panel data from 2000-2023. It finds no robust association with life expectancy, and the under-5 mortality …
C. Spulbar, Mihai Cătălin Dupir
This article provides a bibliometric analysis of green finance literature in the context of climate change from 2001–2025 using Web of Science data. It reveals rapid growth after 2016, a polycentric international collaboration structure dom…
Sampurna Paudel, Barun Gyawali, Sandip Paudel +1
This study presents the first comprehensive bibliometric analysis of the intersection of green finance, digital transformation, and ESG. Analyzing 121 papers from Web of Science, it finds a sharp upward trend peaking at 49 documents in 2025…
S. S. Akadiri, A. A. Awosusi, S. Aldawsari
This study examines the impact of financial institution efficiency on CO2 emissions in Nigeria from 1990Q1-2023Q4, considering mediating roles of renewable energy consumption, income, and energy use. Using wavelet quantile regression, it fi…
Vugar Mehdiyev, A. Musayev, Tamar Orjonikidze
This study uses an ARDL bounds testing approach to empirically investigate the impact of green bonds, ESG lending, and renewable energy finance on CO2 emissions in Azerbaijan from 2010 to 2023. A 1% increase in the Green Finance Index reduc…
J. B. Hamal, Laxman Kandel, Deepak Raj Kandel
This study examines how green financing affects sustainable business performance in Nepal's banking sector, with CSR as a mediator. Using PLS-SEM on survey data from 391 banking professionals in Kathmandu, it finds a direct positive effect …
Richard Sagor Mitra
This paper provides a comprehensive analysis of green banking practices in Bangladesh, using quarterly data from 2023-2024. It finds rapid growth in green finance (27.2% QoQ increase) but significant disparities between private and state-ow…
Y. Laguta, I. Burko, S. Hromyak +2
This study analyzes sustainable bond issuance trends and correlations using data from 2022-2025. Descriptive statistics and Pearson correlation reveal an inverse correlation between green and sustainability-linked bonds, and moderate positi…
Abir Sen Gupta, S. M. Sayem, Nahida Sultana +2
This study examines factors enhancing green economic growth using NRBV and EMT theories. Findings from 407 survey responses in an emerging country show that green innovation has no direct effect, while green tax, green climate finance, ESG …
Aminat Oyiza Musa, J. M. I. Yarboe, D. A. Undie +3
This review explores microbial technologies (e.g., Pseudomonas, Bacillus, Cupriavidus necator) for bioremediation, bioplastics, biofuels, and biological carbon capture. It highlights genetic engineering to enhance efficiency and reduce cost…
Nadhirah Mohd Rosdi, Muhammad Aslam Yusof, Dzeti Farhah Mohshim
This study experimentally investigates the geochemical and petrophysical impacts of SO2 impurity in CO2 streams for CCS. Core samples were exposed to pure CO2, CO2-0.1%SO2, and CO2-0.4%SO2 for 30 days. Results show that SO2 concentration sy…
Hongyu Chen, Da Wei, Wenji Pi +9
This study investigates the co-adsorption behavior of CO2 and H2O in functionalized porous carbons at the molecular level. It reveals that surface functionalization significantly affects adsorption performance under humid conditions, with G…
M. Q. Aldayyeni, U. Alameedy
This paper compares caustic soda (NaOH) and soda ash (Na2CO3) as pH-risers in aqueous mineral carbonation for CO2 sequestration under high pressure. NaOH shows rapid pH increase and high absorption efficiency (95.52%) but is expensive and c…
Xiyue Cao, Xujiang Qin, Yanqiu Zuo +2
This review comprehensively synthesizes AI applications for carbon emissions management across monitoring (satellite remote sensing, sensor networks, ML), prediction (deep learning, ensemble learning, statistical learning), and reduction (i…
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