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 9181–9200 of 28694 papers
Fadhilah Lulu Luthfiyah, Lidia Wahyuni
This study analyzes the impact of ESG disclosure, profitability, and liquidity on investment decisions (PER) for non-cyclical manufacturing firms listed on the Indonesia Stock Exchange from 2022-2024. Using panel data regression, it finds t…
Aizzatut Tahiyya Nafisatul Muna, Nyata Nugraha, Iwan Budiyono
This study analyzes the impact of ESG disclosure on firm value (PBV) for 13 food and beverage firms listed on the Indonesian Sharia Stock Index (ISSI) from 2021-2024 using panel data regression. Results show that ESG disclosure simultaneous…
Fachrul A Siregar
This study analyzes the impact of environmental performance and ESG disclosure on firm value for Indonesian mining companies listed on the IDX from 2021-2025. Using panel data regression on 150 observations, it finds both positively affect …
Ngọc Toàn Phạm, Hieu Le Tran Trung
This study examines the impact of voluntary ESG disclosure on the financial performance of Vietnamese commercial banks using panel data from 2010-2025. Constructing an ESG disclosure index via content analysis and employing fixed/random eff…
Hadi Setyo Nugroho
This study analyzes the impact of ESG disclosure on ROE for energy companies listed on the Indonesia Stock Exchange (2021-2024). Using a GRI-based checklist and multiple regression, it finds that all ESG dimensions positively affect ROE, bu…
Banti Sidhiwala, TCSM Gupta, Meka Srinivasarao +1
This study evaluates high oleic natural ester (HONE) insulating oil for transformers, showing via LCA a ~27% CO2 reduction over 30 years compared to mineral oil. HONE's superior thermal stability enables smaller transformers and higher load…
Yunze Pang, Liyan Shan, Yajie Wang +2
This paper examines how crude oil selection guided by refining history can reduce the carbon footprint of asphalt production. Conducted by Chinese research institutions, it focuses on upstream emission reduction opportunities in the manufac…
Sanjana Kewalramani, Sharvari Nimje, Tanishq Rajpuria +2
This review systematically organizes research applying AI/ML to Kubernetes scheduling for improving energy efficiency and reducing carbon emissions. It shows that ML-based workload placement optimization can effectively reduce data center e…
Nithin Krisshna Gunasekaran, Akash Samadhiya, Gabriel Arce Amador +1
This review examines pyrolyzed carbon black (CB) from waste tires as a sustainable supplementary cementitious material, showing that low replacement levels (up to ~5%) enhance compressive and flexural strength while improving durability thr…
T. Sindhu, Dr. K. Sivakumar, Dr. D. Jayanthi +2
This review examines geospatial technologies (GIS, remote sensing, UAV, LiDAR) combined with machine learning for carbon stock estimation in mango orchards. Integration of satellite imagery and ML models (Random Forest, SVM, ANN) improves p…
Yuling Wen, Zhenjie Chen, Manchun Li +1
This study quantifies the water-energy-food-carbon nexus and carbon emission transmission pathways in grain production across 340 Chinese cities. It analyzes how emissions propagate through inter-city supply chains and identifies regional m…
Zihao Guo, Mei Lü, Chuanfeng Zhao +5
This study elucidates the multiscale structural evolution of spent activated carbon during thermal regeneration, identifying an optimal window (400-500°C, 1-2h) that achieves >95% contaminant removal and surface area recovery while preservi…
Fangli Chen, Lulu Xu, Laili Wang +2
This study assesses the carbon footprint of RFID labels in mass production, quantifying emissions across the lifecycle and identifying reduction opportunities in manufacturing and materials. It offers insights for sustainable production and…
Qixin Liu, Chengying Zeng, Shuohui Zhang +6
This study proposes defect engineering of hard carbon anodes to enhance fast-charging performance of sodium-ion batteries (SIBs). By tuning pre-carbonization temperature, they achieved high initial Coulombic efficiency (90.3%) and excellent…
Hongxuan Qiu, Gaibi Du, Jingyuan Zhang +5
This review summarizes recent advances in photocatalytic conversion of CO2 to CO using water as an electron donor. It details catalyst modification strategies (morphology, oxygen vacancies, doping), cocatalyst design, heterojunction constru…
Gerry LAWSON, Amayes Kara, Sonja Kay +4
This policy briefing examines how agroforestry carbon farming can gain a 'Biodiversity Co-benefit Endorsement' under the EU Carbon Removals Certification Framework (CRCF). It highlights agroforestry's benefits for biodiversity, soil health,…
Gerry LAWSON, Víctor Rolo, Jakub Huška +1
This briefing outlines how agroforestry can meet EU sustainability frameworks like the Taxonomy and Carbon Farming Delegated Act. It highlights its absence in nine Member States' adaptation strategies, details nine climate benefits, and sho…
Aditya Arunkumar Bikkannavar, Renuka Salunke, Geeta S Chitagubbi +3
This study surveyed 300 Indian farmers on farm waste management practices and knowledge of carbon emission and sequestration. Mulching and feed use were common, but 15% still burned residues, and carbon-related knowledge was low. It calls f…
Karey Maynor, Mark Hamalian, Vaibhav Bahadur
This paper reports an ultrafast method for forming CO2 hydrates from CO2/N2 gas mixtures, potentially improving carbon capture and storage (CCUS) efficiency. It holds relevance for energy transition and decarbonization, though experimental …
Tong Li, Xin Tian, Ram C. Dalal +16
This paper addresses the gap between agricultural carbon measurement and credible climate action, proposing frameworks to translate measurements into reliable carbon credits and policy applications.
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