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 4101–4120 of 27606 papers
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This work proposes integrating electrolyzer waste heat with high-temperature heat pumps and thermal energy storage to minimize green hydrogen consumption in industrial steam generation. Rather than relying solely on hydrogen, it optimizes h…
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This study applies integrated exergy analysis and EROI to compare two offshore-wind pathways in Brazil: hydrogen/ammonia conversion for export versus direct electricity use via the national grid (SIN). Ammonia conversion and transport showe…
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This paper examines the techno-economic management of hybrid renewable energy systems coupled with pumped hydro storage for green hydrogen production via PEM electrolyzers. It addresses cost and operational optimization, integrating variabl…
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Using 64 non-financial Saudi listed firms (2020–2024), this study examines how ESG performance and digital transformation jointly affect firm value. Both ESG and digital transformation are positively associated with firm value, and their po…
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A bibliometric analysis of 321 Scopus-indexed articles (2005–2026) maps research linking green accounting, sustainability reporting, and ESG performance. Output surged after 2017 and especially 2021, with sustainability reporting and accoun…
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This study manually codes 55 banks across 11 European countries to compare ESG governance maturity under CSRD/ESRS. EU-core and Croatian banks reach the highest maturity, while Western Balkan banks cluster at partial integration with no loc…
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This paper systematizes the evolution of theoretical approaches to sustainability reporting into eight stages, arguing the current phase is a 'digital integration approach' that unifies financial and non-financial data via ERP, Big Data, AI…
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This study examines how ESG disclosure affects investment decisions among technology firms on the Indonesia Stock Exchange (2021–2024), and whether independent commissioners moderate this relationship. ESG disclosure shows a negative signif…
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Using panel data from 20 Jakarta Islamic Index firms (2021–2024), this study tests how green sukuk, green disclosure, and ESG performance affect financial performance. Green sukuk shows a negative effect, while green disclosure and ESG have…
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Using 124 firm-year observations from 31 Indonesian financial companies, this study finds that board size influences ESG disclosure. Effective audit committee oversight moderates this relationship, encouraging more extensive and higher-qual…
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This study compares manual content analysis with AI-assisted semantic evaluation of sustainability disclosure at Saudi Arabia's four fully Shariah-compliant banks (2022–2024), using a hybrid ESG–Shariah framework across five dimensions. Dis…
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Using textual analysis of 10-K filings from US listed firms (2009-2019), this study examines how firm life-cycle stages shape sustainability disclosure. Mature firms disclose more, consistent with signaling theory, while growth-stage firms …
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Using Ghana's Parliament House as a case study, this paper assesses the technical and economic feasibility of rooftop/carport solar PV-grid integration and green hydrogen/ammonia production via GIS and Python simulation. A 6.3 MW solar syst…
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This roadmap integrates fluid dynamics, combustion chemistry, advanced diagnostics, and machine learning to enable the low-carbon transition. It highlights hydrogen, ammonia, and sustainable aviation fuels as key energy carriers, alongside …
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Using a multi-source dataset linking Chinese A-share firms, cities, and local government work reports (2007–2022), this study shows that greater local environmental attention reduces corporate carbon emissions by 0.956% per standard deviati…
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The paper links the assets of the top 500 billionaires to emissions, building an ownership-based carbon accounting dataset. Each million USD held is tied to over 65 tCO2e per year, about 10x the average person's footprint, with emissions fa…
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This paper proposes an electricity–thermal–hydrogen–gas integrated energy system coupling oxy-fuel combustion capture (OCC), coal-to-hydrogen (C2H), and power-to-gas (P2G). A multi-source hydrogen supply and ladder-type carbon trading with …
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This paper proposes a hybrid deep-learning model combining TCN and FEDformer to forecast carbon emission allowance trading prices. Improved price prediction matters for compliance cost planning and investment decisions in emissions trading …
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This paper proposes a three-stage carbon trading price prediction model combining time–frequency decomposition with a hybrid attention mechanism. Tested on Guangdong and Hubei data, it reduces single-step MAE by 1.1–12.9% and MSE by 10.5–13…
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Using panel data of Chinese listed firms (2010–2024) and a multi-period DID model, this study finds that the carbon emissions trading system significantly raises firm total factor productivity. Baseline-based accounting, paid quota allocati…
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