GX Research Hub · English

GX & Decarbonization Research

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.

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Showing 3361–3380 of 24323 papers

Peer-reviewedJournalInternational Journal of Engineering Continuity2026#Energy TransitionDOI

Sensitivity of Coal Reserve Economic Feasibility to Price Fluctuations: A Case Study of an Open-Pit Coal Mine in East Kalimantan, Indonesia

Arif Deswanda Cismawan, Eddy Ibrahim, Eddy Sutriyono +3

This study evaluates the economic feasibility of marginal coal reserves under price volatility using a case study of an open-pit coal mine in Indonesia. Using discounted cash flow and margin analysis, it identifies a critical price threshol…

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Preprint🇪🇺 EuropeZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI

Climate-Driven Energy Demand Shifts in the Kisalföld Region: Historical Correlations, Future Projections, and Infrastructure Loss Implications

Zsombor Sztyehlik

This study analyzes the impact of rising temperatures on electricity demand in Hungary's Kisalföld region. Using an XGBoost model, it projects a structural shift from winter to summer peak demand and increased transmission losses under warm…

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Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Energy TransitionDOI

Climate Policy Uncertainty and Renewable Energy Consumption: Multiple Insights from Digitization, Energy, and Innovation-Oriented Governance

Yuming Zheng, Kai-Hua Wang, Nicoleta-Claudia Moldovan +2

This study uses rolling-window Granger causality to examine the dynamic causal nexus between China's renewable energy consumption (REC) and climate policy uncertainty (CPU). CPU has time-varying effects that steadily boost REC, while revers…

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Peer-reviewed🌍 GlobalJournalJournal of Risk and Financial Management2026#Disclosure InfrastructureDOI

A Judgement-Based Connectivity Framework Linking IFRS S2 Climate-Related Disclosures to IFRS Recognition, Measurement, and Disclosure Outcomes: An Illustrative Application

Eda Oruç Erdoğan, Murat Erdoğan, Durmuş Acar +1

This study challenges the assumption that climate disclosures directly translate into financial statement impacts, proposing a three-stage judgement-based connectivity framework linking IFRS S1/S2 disclosures to recognition, measurement, an…

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Peer-reviewedJournalBussecon Review of Social Sciences (2687-2285)2026#Energy TransitionDOI

Innovation as a shortcut to decarbonization: evidence from emerging markets beyond the environmental Kuznets Curve

Merve Sahin, Selim Zaim, Ibrahim Bague +1

This study examines whether innovation (R&D expenditure) directly reduces CO2 emissions in emerging markets using panel data from 2000-2020. Fixed-effects estimations show innovation significantly lowers emissions, but the nonlinear term is…

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Peer-reviewedJournal"Scientific notes of the University"KROK"2026#ESGDOI

CORPORATE APPROACHES TO MANAGING BUSINESS RESOURCES IN THE CONTEXT OF SUSTAINABLE ECONOMIC DEVELOPMENT

І. І. Румик, Іван Мельніченко, Павло Коваль

This paper discusses transforming corporate resource management towards sustainable development and circular economy principles. It proposes a three-level classification of resource management models and systematizes implementation tools in…

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🌍 GlobalConference2026 6th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)2026#AI × ESGDOI

AI-Based Predictive Energy Management of a Hybrid Solar-Wind System for Green Hydrogen Production: Case Study of Tarfaya, Morocco

Fatima Zahra El-Yazidi, H. Mounir

This paper proposes an AI-based predictive energy management system for a hybrid solar-wind-battery system producing green hydrogen. It combines machine learning for day-ahead solar and wind generation forecasting with a reinforcement learn…

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