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 2661–2680 of 4154 papers
Xia Li, Kevin P Gallagher, Xu Chen
This study assesses both physical and transition climate risks for 578 overseas power projects across 105 countries financed by the US, China, and Japan. Using Moody's ESG Solutions data and project-level CO2 emissions, it finds a positive …
Khaled Muhammad Hosni Sobehy, Lassaad Ben Mahjoub, Sahbi Gabsi
This paper addresses the misalignment between IFRS S2 climate risk disclosures and IAS 36 asset impairment testing. It constructs a framework combining deterministic and stochastic models (Monte Carlo with Merton Jump-Diffusion) to quantify…
Yiya Du
Using Chinese listed company data from 2010-2020, this paper constructs indicators for carbon emission intensity and climate transition risk exposure. Through Fama-MacBeth regression and carbon risk factors, it tests for a 'carbon premium' …
F. O. Ayodele, B. Ayodele, T. Oladele +2
This systematic review and quantitative policy synthesis examines the strategic role of carbon disclosure policies in carbon emission management. Using PRISMA and secondary data, it finds that high carbon tax implementation in countries lik…
Huiru Wei, Jie Zhang, Kuiran Yuan
This study examines the impact of climate risk disclosure (CRD) on firm economic and environmental performance using China's A-share listed firms. Constructing a firm-level CRD index under the AMC framework, the authors find that CRD signif…
Anthony Oyamendan, Babatunde Afolabi, Bojuwon Mustapha
This study empirically demonstrates that higher-quality climate risk disclosure reduces syndicated loan spreads, using 2,847 facilities from 156 banks across 23 countries (2022–2025). The effect is strongest (up to 141 bps) for green-commit…
Vithusan Karunaharan, S. Gayan, C. Luckshan +4
This paper comprehensively reviews how next-generation telecommunication networks, including 6G, can support climate adaptation and mitigation while reducing their own environmental footprint. It evaluates AI-based energy optimization, remo…
Vahit Çalışır
This study quantifies CO2 emission changes from the February 2023 Kahramanmaraş earthquakes using AIS port visit data and GNN modeling. It finds a 35.9% increase in per-visit CO2 during the acute disruption phase, with 27,574 tonnes of exce…
Jianghui He, Min Cao
This policy review provides a comprehensive overview of global blue carbon governance under the United Nations system, examining interfaces with UNFCCC, CBD, Ramsar Convention, SDGs, and Sendai Framework. It identifies four structural bottl…
Evelyn Anabela Anisa
This literature review assesses geopolymer materials made from industrial waste (fly ash, slag, etc.) as a low-carbon alternative to cement. It finds 18-64% CO2 reduction and up to 30% cost savings with comparable mechanical performance. Ba…
Hui Lu, Qiyao Zhang, Zhixiao Bai +3
This study elucidates the carbonation-induced stabilization mechanism of tidal mudflat sediments using MgO for offshore wind farm access roads. It investigates the effects of MgO content, carbonation time, and initial moisture content on st…
R. Ries, M. Roberts, Vanessa Gomes da Silva +1
This paper reviews current standards for life cycle assessment (LCA) in the built environment to support net-zero carbon goals. It identifies gaps such as the need for harmonized Product Category Rules and Environmental Product Declarations…
L. Baldazzi, Andrea Saccani, S. Manzi
This review explores the potential of using construction and demolition waste (CDW) as precursors or aggregates in alkali-activated materials (AAMs), offering a sustainable alternative to ordinary Portland cement. While CDW recycling faces …
A. Cardarelli, C. Fabiani, E. Fanelli +3
This consequential LCA evaluates a cement plaster incorporating activated hydrochar from municipal solid waste. The cradle-to-grave analysis shows a 68% reduction in climate change impacts over 50 years, driven by biogenic carbon sequestrat…
K. K., M. Guptha, K. M +3
This review comprehensively examines next-generation low-carbon cementitious binders for concrete, including SCM, LC3, alkali-activated materials, geopolymers, and carbon-based technologies. It covers binding mechanisms, fresh and hardened …
S. P
This comprehensive review covers low-carbon and geopolymer concrete technologies, showing 40-80% CO2 reduction compared to Portland cement while maintaining similar or better performance. It discusses supplementary materials like GGBS and L…
Dongfang Li, Zengyang Huang, Lichun Zhou +9
This study explores CO2 mineralization in silicate cement paste to enhance carbon sequestration and mechanical performance. A novel mixing method using gaseous and solid CO2 achieved a final carbon sequestration rate of 8.1 wt% at a water-c…
Y. Yardımcı, Yasemin Erbil
This review analyzes AI-integrated LCA research in construction. ML and ANN are used to predict energy and carbon, but integration is fragmented due to unstructured data and lack of standards. Focus is on operational energy, neglecting embo…
Anna Szewczyk, J. Dzwierzynska
This systematic review evaluates how AI, Generative Design, and BIM contribute to sustainable development in construction. Using the PRISMA protocol, it synthesizes evidence on algorithmic intelligence supporting UN SDGs (9, 11, 12, 13). Fi…
Basit Afaq Mir, Anissa Nurdiawati, Sami G. Al‐Ghamdi
This paper reviews carbon benchmarking methods for buildings, covering both operational and embodied carbon. It finds that 81% of studies use bottom-up approaches and nearly 88% focus on residential buildings. Benchmark values vary widely f…
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