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 7881–7900 of 35176 papers
Zhiyi Lu, Samar Khamlichi, Yonghong Hong
This qualitative case study examines whether China-Morocco energy cooperation is shifting from individual projects to green industrialization, analyzing 12 projects from 2016 to 2026. Findings show an emerging but uneven shift, with industr…
Xuelong Zhang, Xiaoling He, Mei Li +3
Using panel data of Chinese listed energy firms (2010-2023), this study shows AI adoption significantly reduces carbon emission intensity. Executive digital background strengthens the effect, and low-carbon city pilots provide complementary…
Ngan Bich Nguyen
This study examines whether ESG scores of 843 financial firms across Asia, Europe, and the US converge to a common global standard or form regional clubs. Using sigma- and beta-convergence and dynamic panel analysis, it finds within-region …
Aykut Arslan, Kenan Tata, Abdülkadir Akturan +1
Analyzing 94 maritime firms (2013-2024), this study finds no contemporaneous link between ESG scores and liquidity/leverage, but weak temporal precedence: ESG precedes liquidity by two years and leverage by one year. ESG acts as a slow-movi…
Sindhi Damayanti, Dwi Suhartini
This study examines how green accounting (environmental cost disclosure) and corporate governance (board independence) affect sustainability reporting quality (SRQ) among 40 Indonesian listed energy firms using ordered logistic regression. …
Kristina Rudžionienė, Greta Keliuotytė-Staniulėnienė, Rasa Kanapickienė +2
This study examines the association between ESG disclosure and corporate financial performance (CFP) across Western European (WE) and Central and Eastern European (CEE) firms. Using Bloomberg data for 4,553 firms from 2013 to 2024, panel re…
Touseef Ahmad, Alia Ahmed, Hanan Amin Barakat +2
This study examines how ESG disclosures affect individual investors' trading behaviors in an emerging market (Pakistan), using corporate reputation (cognitive and affective) as a mediator. Based on survey data from 390 investors and SEM ana…
Yizhi Guan
This study compares ESG disclosure quality between 10 traditional energy and 34 new energy companies using content analysis. New energy firms adopt more frameworks, achieve higher MSCI ratings, and include Scope 3 in net-zero commitments mo…
YunWei Shen
Using panel data of Chinese A-share listed firms from 2011 to 2023, this study finds that ESG disclosure significantly reduces stock price synchronicity, with stronger effects in non-manufacturing and state-owned enterprises. Environmental …
Marek Dzida, Lan Huong Nguyen
This review comprehensively analyzes regulatory frameworks, energy-efficiency technologies, alternative fuels, techno-economic factors, and transition strategies for maritime decarbonization. It compares fuels like LNG, methanol, hydrogen, …
Alfa Yohannis, Alexander Waworuntu
This paper compares the carbon footprint of document-oriented, relational, and hybrid object-relational databases for image-based time-series workloads in Green IoT, proposing a carbon-aware storage selection method. It leverages AI/ML tech…
Dorota Michalak, Paulina Szyja
This paper introduces two complementary metrics—Inverted Carbon Footprint (ICF) and Wood Footprint (WF)—to assess forest-based climate performance. Using Polish national data (1999-2021) and European comparisons, it finds that while forest …
Elysse Prussing, Jenni Doust, Olivia Tierney +1
This paper evaluates the carbon footprint of a regional Australian midwifery group practice (MGP), quantifying the environmental impact of healthcare services. It provides concrete data to support decarbonization in midwifery care, contribu…
Ángela García‐Alaminos, Jorge Zafrilla, Marina Sánchez-Serrano +3
This chapter addresses the lack of standardized methods for Scope 3 emissions calculation by introducing a tiered hybrid model. Using a real case study of an academic event, it provides a structured approach for companies and consultants to…
Katarzyna Chojnacka, Dawid Skrzypczak
This paper conducts a sustainability assessment of biogas production using carbon footprint (CFP) and life cycle assessment (LCA). It quantifies environmental burdens from feedstock to energy conversion, examining greenhouse gas reduction p…
Ling Tang, Guobao Song, Yiting Yang +6
This paper assesses the carbon footprint of seaweed cultivation in Asia, explicitly accounting for methane decay. It examines how methane production and decomposition affect the net climate impact of seaweed farming, which is often promoted…
Ana Georgescu
This study proposes a technology that uses engineered bacteria to accelerate rock weathering, fixing atmospheric CO2 into minerals. By speeding up natural weathering processes, this method could enhance carbon removal efficiency. However, p…
Khandakar Mohiul Alam, Tanjina Alam, A. M. Sajedur Rahman
This study examines the effects of vermicompost on sugarcane productivity and soil carbon accumulation. Increased soil carbon may contribute to climate mitigation, linking to GX in agriculture. Specific data and methods are not provided.
Chen Zhou, Yingjun Ruan, Hua Meng +2
This study develops a probabilistic carbon-aware optimization framework for residential 24/7 carbon-free electricity under uncertain load, PV, and grid carbon intensity. Using KDE-Copula scenarios and ARMA residuals, a two-stage MILP jointl…
Miguel F. S. Vasconcelos, Georges Da Costa, Patricia Stolf
Proposes a carbon-aware caching policy for edge computing that adjusts data freshness based on carbon intensity. Experiments on a smart city use case show that accepting slightly stale data (AoI up to a minute) can reduce CO2 emissions by a…
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