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 6301–6320 of 28118 papers
von Rosing M.
This material explains practical steps for companies to classify GHG emissions into Scope 1, 2, and 3, set reduction targets, and implement measures. It focuses on concrete reduction actions and implementation approaches to support corporat…
Migo-Sumagang M.V.
This paper proposes a graphical technique for net-zero emissions planning based on marginal abatement cost (MAC) curves. MAC curves are a common tool for comparing the cost-effectiveness of different abatement options, and this method integ…
Efthymiadou M.E.
This paper proposes an optimal planning method for hydrogen infrastructure to decarbonize heat demand. It derives infrastructure deployment considering costs and emission reduction effects, tailored to regional characteristics. The findings…
Migo-Sumagang M.V.
This paper proposes a multi-period automated targeting and optimisation approach for achieving net zero goals. It provides a methodology for efficiently planning emission reduction pathways in energy systems and industrial processes, applic…
Migo-Sumagang M.V.
This paper proposes algebraic and automated targeting techniques based on marginal abatement cost curves for planning carbon dioxide removal (CDR) deployment. It enables cost-effective CDR portfolio design, supporting investment decisions f…
Dai M.
This paper compares country-specific net-zero strategies in the pulp and paper industry, highlighting differences in policy and technology pathways and offering insights for decarbonization.
Suwega Drestantiarto, Dewi Hanggraeni, Indra Kusumawardhana
This study examines the impact of global uncertainty and Enterprise Risk Management (ERM) on financial performance (ROA) and firm value (Tobin's Q), with ESG as a moderator, using panel data from 36 Indonesian energy firms (2019-2024). Fixe…
E. Elbeltagi, Aboelkasim Diab, Ammar Younes
This review systematically organizes circular economy strategies for sustainable management of concrete waste in the construction and demolition sector. It compares strategies such as waste reduction, reuse, and recycling, examining their p…
Ali Nawaz, Chiwei Su
This paper examines the impact of ESG uncertainty on green bond market growth using bootstrap rolling-window causality and quantile-on-quantile regression. It finds that heightened ESG uncertainty erodes the informational value of green bon…
Weiran Chen, Xinyu Zhao, V. Dinavahi
This paper proposes a framework for real-time co-simulation of nuclear (SMR) and renewable energy systems for clean hydrogen production. It develops an adaptive method for selecting optimal time-steps across heterogeneous physical domains, …
Meng-Jia Zhuge, Jun Liu, Jun Xu +2
This paper proposes a dynamic pricing and day-ahead scheduling method for green hydrogen production directly connected to renewable power, considering electricity spot prices. It optimizes both hydrogen price and production schedule to bala…
Boyu Liu, Ahmed S. Musleh, Guo Chen +3
This paper proposes a two-stage optimization model for scheduling hydrogen carrier vessels (HCV) and island hybrid energy systems, integrating green hydrogen production, storage, and distribution. The first stage uses scenario-based stochas…
Sara Sghiouri, Mohamed Bezza, H. Sabir +2
This review systematically organizes AI applications in wind turbine predictive maintenance, highlighting their potential to improve reliability and reduce costs in the transition to low-emission energy. AI-based fault prediction enhances w…
Meng-Ying Ma, Palida Tuersun, Gulijiang Kuerban +2
This paper proposes a method for carbon price forecasting that integrates multi-source carbon market data using a structured cross-market attention mechanism. The step-sensitive design aims to capture abrupt price movements. By applying AI …
Fadillah Ahmad Fauzi Pratama, Doddy Setiawan, Nur Chayati +2
This study examines the association between corporate climate change disclosure (CCD) and financial performance among Indonesian listed firms in climate-sensitive sectors from 2019-2022. Using 958 firm-year observations and multiple regress…
Mingyue Yang, Yumeng Li, Haifeng Zhou +3
This empirical study analyzes carbon sequestration potential in global grasslands and the unequal distribution of ruminant production losses across regions. It highlights the importance of grassland management for climate mitigation and the…
Lin Lv, Chi Zhang, Haofan Zhang +2
This study compares 13 coal-power phaseout pathways in China and shows that incorporating water scarcity into retirement planning enhances water-saving benefits while maintaining carbon reductions. Water-informed pathways increase cumulativ…
Hailing Li, Maohong Wei, Hongling Yang +7
This study compares how ecosystem water use efficiency (WUE) responds to environmental drivers in arid versus humid regions, revealing that dominant controls differ by region. The findings have implications for ecosystem management and unde…
Fitri Oktaviyani, Siti Pratiwi Husain, Yustina Hiola
This study analyzes the impact of audit delay and sustainability reporting on stock prices of 39 Indonesian energy companies (2021-2024) using panel data regression. Findings show audit delay has no significant effect, while sustainability …
ST Vaishnavi, RLD Dissanayake
This study examines the quality and genuineness of SDG reporting by South Asian firms, analyzing disclosures of SAFA award-winning companies through content and thematic analysis. SDGs 4, 8, and 13 are most reported; integrated reporting ad…
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