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 28961–28980 of 36417 papers
E. E. Arinze, G. Okechukwu, S. Anieto +12
This review paper examines the potential of green hydrogen produced via renewable electrolysis in reducing emissions and promoting energy security and circular economy across industrial, transport, agriculture, and energy sectors. It discus…
O. A. Yusupova, Maxim V. Demidov, V. A. Vinichenko
This paper analyzes the institutionalization and current state of ESG reporting in Russia, highlighting the lack of unified standards despite mandatory disclosure requirements. Through a comparative case study of Sberbank and Nornickel, it …
Fella Halida, Umi Nurul Jannah
This study examines how ESG disclosure moderates the effects of financial reporting quality and investment effectivity on firm value in Indonesian and Malaysian manufacturing firms (2020-2024). Results show contrasting mechanisms: in Indone…
Ankit Kumar Tripathi, Lixue Jiang, Thành Trần-Phú +6
This study proposes a novel material—tungsten trioxide (WO3) nanoparticles synthesized via flame spray pyrolysis and surface-modified with reduced graphene oxide-derived carbon—for lithium extraction from synthetic brine. It achieves an int…
Rohit Nimmala, Gajendra Babu Thokala, Jagrut Nimmala +1
This paper proposes the Cognitive Bank architecture that integrates knowledge graphs, LLMs, and federated learning to unify climate risk assessment across credit, market, and operational risks. It uses a FIBO-based climate-financial KG, Gra…
Rohit Nimmala, Jagrut Nimmala, Milan Parikh
This paper introduces ClimRiskNER, a deep learning pipeline that automatically extracts Basel III/IFRS 9 credit risk parameters (PD, LGD, EAD) from climate scenario narratives. It combines dual-domain adaptive pre-training (financial and cl…
Yan Zheng, Hefeng Wang, Yangyi Ai +3
This paper examines China's blue carbon governance, focusing on the ecology-policy interface. It finds that national crediting is strongest for restoration projects under the CCER system, but governance gaps remain: ecosystems are treated u…
Qian Guo, Z Wang
This study quantifies energy consumption and carbon emissions across production stages for a new cold mix asphalt (New-CMA) using IPCC methods. Compared to hot mix asphalt, it achieves 48% lower total energy use and 40% lower carbon emissio…
Muhammad Farhan Bashir, Miao Ye, Stefano Bresciani +1
This study examines how renewable energy investments, ICT, education, and economic complexity contribute to mitigating climate change in newly industrialized economies. Using multiple econometric methods, it finds that these factors reduce …
Yumei Lin, Anwar Shahid
Using panel data from Belt and Road countries (1985-2019), this study finds that technological innovations reduce energy consumption and improve energy efficiency, thereby enhancing environmental quality. Economic growth and financial devel…
Chenggang Zhang, H Liu, Weirong Fang
This paper analyzes networked urban responses to climate change in Chinese cities, examining mechanisms of carbon efficiency and collaborative adaptation, and exploring how inter-city cooperation affects emission reductions.
Lijuan Chen, Yimeng Wu, Qi Wang +5
This study quantifies carbon footprints of renewable energy-driven seawater desalination retrofitting in China's coastal areas. It compares emission reductions across regions and technologies, demonstrating the feasibility of low-carbon wat…
Guowen Zhou, Qiang Li, Fuxiang Dong +3
This paper optimizes pathways for urban energy system transition toward dual carbon goals (peak CO2 by 2030, carbon neutrality by 2060) using Guangzhou as a case. It highlights renewable energy deployment and policy integration for decarbon…
Yuan Zhang, Xin Yang, Zhen Tian +5
This paper evaluates the integrated performance of a carbon capture system combining dilute-steam compression and an electric heat pump under LNG/heavy fuel oil (HFO) dual-fuel engine operation. It analyzes trade-offs between energy consump…
Won-Hee Lee, Hanki Kim, Puttaswamy Madhusudan +3
This study applies response surface methodology to optimize simultaneous bicarbonate recovery and energy generation in a carbon-capture reverse electrodialysis system. It evaluates process parameters and identifies optimal conditions, contr…
Yifan Xu (87249), Shibo Wang, Xiaomin Xie +2
This study presents thermodynamic modeling and optimization of an MEA-based onboard carbon capture system driven by exhaust heat from marine diesel engines. It explores efficiency improvements and energy reduction potentials for maritime de…
Muhammad Amin, Mosim Ansari, Abuzar Khan +5
This research develops nanoporous activated carbons from palm leaf biomass for high-performance and selective CO2 capture, contributing to efficient CCUS technologies.
Siva Shanmukha Anjaneya Babu Padavala, Siva Avudaiappan, Subhashish Dey +2
This study experimentally and via machine learning explores carbon capture and storage (CCS) in concrete incorporating fly ash and silica fume. It builds predictive models from experimental data to identify optimal CCS conditions, contribut…
David Anderson, Gina Vitale, Alex Scott, Fionna Samuels,...
This paper discusses the potential and limitations of carbon capture, utilization, and storage (CCUS) technologies in addressing climate change. It explores the effectiveness and implementation challenges of CCUS, concluding that it alone i…
Deyue Qin, Jianxiang Xu, Shan Jiang +2
This paper proposes an optimization method to enhance combustion performance for low-carbon equipment, integrating sensitivity analysis and genetic algorithms. It aims to achieve efficient combustion control, contributing to carbon neutrali…
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