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 601–620 of 23592 papers
Huimin Shao, Qing Jin, Jia Zhou +4
Using Chinese A-share listed firms from 2010-2024, this study finds that ESG performance enhances financial performance, mediated by green innovation and moderated by financial risk. Benefits are stronger for non-state-owned, high-disclosur…
K. Sonawane, P. Saini, U. Biradar +2
This paper proposes an integrated framework for monitoring CO2 conformance in subsurface reservoirs for CCUS projects. It combines reservoir modeling, 4D seismic imaging, and spot sensors to validate CO2 plume behavior. Pilot implementation…
Dragi Peltechki, G. Jovanov, Stojance Mijalkovski
North Macedonia has potential in European critical raw materials (CRMs) but is constrained by institutional fragmentation, prolonged permitting, public distrust, and carbon-intensive energy. Using a PESTLE framework and semi-quantitative re…
Gregorius Jeandry, Zainuddin Zainuddin, Amin Dara +2
This study uses bibliometric analysis and systematic literature review on Scopus-indexed articles (2015-2025) to examine ESG integration into financial statement analysis. It maps publication trends, dominant themes (ESG reporting, non-fina…
Idham Idham, Chusnul Rofiah
This study examines how cyber-auditing and the conceptual foundation of digital assurance redefine auditors' roles in multinational firms. Using a systematic literature review, it finds that integrating AI and data analytics into audit prac…
M. Erdemir
This screening-level study evaluates a pathway capturing SO2 from coal-fired flue gas to produce sulfuric acid, then reacting it with scrap aluminum to yield hydrogen and aluminum sulfate. It calculates sulfur balances, energy and water dem…
Małgorzata Hordyńska, J. Łabaj, P. Madej +3
This case report compares electricity use and CO2 emissions of old and new cable recycling lines in a Polish plant. The new line shows ~55% lower specific electricity consumption and emission intensity per tonne of cable and recovered coppe…
Laila Shahzad, Mahammed Saleem, Faiza Sharif +4
This study assesses climate vulnerability of rice-wheat farmers in Narowal, Punjab using a climate vulnerability index (CVI). Findings show significant differences between tehsils (0.26 vs 0.91), with extreme temperatures, erratic rainfall,…
Bo Pang, Brian Deal
This study proposes an ecosystem accounting framework to translate wetland ecosystem services into spatially explicit planning metrics. Applied to Illinois, it quantifies climate regulation, water purification, and flood regulation using ph…
Yingwen Guo, Miao He, Weiyin Zhang
This study examines the impact of geographic proximity to cancer villages on firm valuation using Chinese listed firms from 2004 to 2022. A one-standard-deviation increase in proximity reduces Tobin's Q by about 1.7%, driven by higher compl…
Qian Wang, Siyu Chen
Using a panel of Chinese A-share firms (2007-2024), this study constructs a firm-level climate risk measure via annual report text analysis and shows that climate risk significantly raises the cost of debt. It identifies two transmission ch…
Taufiq Andre Setiyono, G. Solovida, Dessy Noor Farida
This study examines the impact of green accounting, carbon emission disclosure, and Islamic Social Reporting (ISR) on firm value (Tobin's Q) for companies listed on the Jakarta Islamic Index 70 (JII70). Using 2023-2024 data and regression a…
Nutchanat Buasri, P. Littidej, Benjamabhorn Pumhirunroj +2
This study analyzes population dynamics in flood-prone Thailand, finding that despite repeated flooding, some areas show late population growth (maladaptation). Using Random Forest and SHAP, flood frequency is the dominant predictor, with t…
Shashikala T K, S. R, J. Chandrashekhara
This paper proposes an edge-AI framework for real-time forest fire detection using YOLOv8 and IoT sensors. It enables low-latency, accurate detection with sensor fusion to reduce false alarms, offering scalable deployment for climate adapta…
Gaoming Wei, Ziyan Wang, Li Ma +4
This study experimentally and theoretically reveals the multiscale evolution of coal microstructure and permeability during liquid CO2-enhanced coalbed methane recovery (LCO2-ECBM). LCO2 impact and CO2 hydrate acid erosion cause mineral dis…
L. Lakshmanan, S. Nagarajan
This study proposes a semi-automated workflow for multi-level 3D building reconstruction by integrating airborne LiDAR point clouds with building footprints extracted from NAIP imagery using Mask R-CNN. The footprint extraction achieved a m…
S. Amoo, Ali Attajer, Ismahen Zaid +1
This study develops an optimization framework for sustainable AAC production using discrete-event simulation and machine-learning surrogates. It generates 116,640 production scenarios and trains ML models to predict CO2e emissions, cost, an…
Rakesh Patel, Himanshoo Verma, Jitendra Namdeo +1
This study proposes a sustainable design for RC beams by replacing low-stress concrete zones with bricks to reduce cement consumption and carbon emissions. Using the method of initial functions (MIFs), it analyzes stress and displacement in…
Weiwei Yao, Qi Wang, Shun Yin
This paper examines design-based carbon reduction strategies for green infrastructure, specifically cycling stations, under the dual-carbon background. It focuses on the potential for carbon emission reduction through infrastructure design,…
Risjunardi Damanik, Khadijah, Hanifah Sriamelia
This study evaluates concrete with a 1:1 blend of Chlorella and Spirulina as supplementary cementitious material. At 5% replacement, compressive strength drops only 6.4% while chloride resistance improves 12.3% and CO2 sequestration reaches…
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