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 14561–14580 of 19291 papers
Irtaza Bashir Raja, Yasir Ahmad, Tariq Feroze +1
This paper uses GIS to evaluate co-locating solar-green hydrogen with industrial wastewater reuse at a textile facility in Karachi, Pakistan. It shows spatially integrated deployment improves energy reliability, reduces freshwater withdrawa…
Ahmed Babiker, Ijaz Ahmed, A. Al-Awami +3
This paper proposes an optimal design and sizing methodology for hybrid multi-electrolyzer systems in renewable-powered green hydrogen production for P2H systems. It contributes to improving efficiency and reducing costs in power-to-hydroge…
Hamza Khaldi, Fatima El Bakkari, M. Boulakhbar +1
This paper presents a techno-economic analysis of integrated renewable energy and water treatment for green hydrogen production in Morocco, considering local solar and wind resources and water scarcity. It evaluates optimal system configura…
Sandeepan Banerjee
This paper critically analyzes ESG investing, revealing significant discrepancies between reported ESG scores and actual environmental and social impact. Using a quantitative framework, it finds symbolic compliance and selective disclosure.…
Lydia Nyongesa, Christine Osinde, Brian Wakasala
This paper examines whether institutional investors' AI monitoring capability causes East African commercial banks to disclose ESG information more granularly. Using hand-coded ESG disclosure data from 31 banks and surveys of 418 investors,…
J. Madukwe, Promise Ezinne Eleke, Glory Ihuaku Ndukwe
This paper analyses the impact of sustainability reporting and corporate transparency on cost of capital in Nigerian manufacturing firms. Using panel data from 38 firms (2014-2023), fixed effects regression shows both sustainability reporti…
Lionel Fontagné, Stephen N. Karingi, Simon Mevel +2
This study uses a dynamic general equilibrium model to assess the economic and environmental impacts of implementing the African Continental Free Trade Area (AfCFTA) Agreement alongside climate policies such as NDCs and carbon price floors.…
Yue Dong, Yuyang Wu
Using Chinese A-share listed firms from 2008-2023, this study finds that supply chain network centrality negatively affects corporate carbon information disclosure (CID) due to proprietary costs. Mechanisms include crowding out green innova…
Muhammad Abil Khausa, Suwondo Suwondo, Eni Sumiarsih
This study quantifies Scope 1, 2, and partial Scope 3 GHG emissions from three operational units of an Indonesian palm oil company using ISO 14064-1. Mobile combustion is the largest source. Biogas recovery from POME can generate 950,174–1,…
Kejia Yang, Hao Tan, Wei Shen
This study analyzes how different Chinese regions adopt varying transformative innovation policies to phase out coal. It compares policy pathways tailored to regional characteristics, offering insights for decarbonization.
Wen Zhang, Bin Guo, Bo Yang +3
This study develops a synergistic optimization model integrating microclimate simulations (ENVI-MET and Grasshopper) with non-dominated sorting genetic algorithm II to simultaneously balance thermal comfort, energy consumption, and economic…
Gaoyang Wu, Zhen Yu, Feng Zhou +3
This study quantifies spatio-temporal changes in biomass carbon stocks of China's mixed forests from 1999 to 2018 using National Forest Inventory data and remote sensing. Carbon stocks increased nearly fourfold, mainly due to conversion fro…
Munehiro Terada
This paper defines the operator-algebraic modular Hamiltonian K_energy for energy systems as part of an information-theoretic unification program. It presents a Wright's Law analysis on battery costs (25.3% learning rate, projecting $82/kWh…
Peter McCallum, Susana Garcia
This webinar introduces MOFevaluator, a cloud-based platform for process-informed discovery of Metal-Organic Frameworks (MOFs), enabling efficient screening for carbon capture and other applications through an interactive web interface and …
Akhil Dilipkumar, Anshu Shukla, Dan Zhao +1
This paper presents an intensified carbon capture process using temperature swing adsorption in a parallel passage adsorber with the metal-organic framework CALF-20, demonstrating potential for improved efficiency and reduced energy consump…
Weibo Zheng
This paper empirically analyzes how user engagement in a green digital platform (Ant Forest in China) promotes low-carbon behavior. It shows that virtual pro-environmental actions lead to real-world low-carbon behavior, highlighting the eff…
Pozhhan Mokhtari, Phillip Sin, Maja Wlodarczyk +2
This study proposes a low-cost, high-performance composite sorbent for carbon capture using porous geopolymer-derived zeolite 4a monoliths. The porous structure enables high CO2 adsorption efficiency and sustainable manufacturing.
Yang Mao, Sha Wen, Jianhua Huang +2
This study proposes a two-step low-temperature calcination process to convert waste optical fibers into hard carbon for sodium-ion battery anodes, contributing to waste valorization and low-cost battery material production.
A Weinberg, K Robbins, D Slade +12
This phase 3 trial demonstrates comparable safety and tolerability of a salbutamol MDI using low-GWP propellant HFA-152a versus the conventional HFA-134a, supporting over 90% carbon emission reduction in inhalers.
Payam Sadrolodabaee, Mujib Rahman, Daniel J. Nowakowski +2
Cement production is a major CO2 emitter. This study develops low-carbon cementitious grouts using straw biochar and ladle furnace slag, evaluating properties from micro to macro scale. Results show that these waste materials can reduce cem…
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