GX Research Hub · English

GX & Decarbonization Research

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.

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Showing 2301–2320 of 26419 papers

PreprintResearch Square2026#Renewable EnergyDOI

Energy Curtailment and Its Potential Use in Electromobility

Koniuszy A, Kozakowski T, Klimek K

This study analyzes energy curtailment (modeled potential minus actual grid injection) for PV, wind, and hydro in 2020–2025. Total positive curtailment reached ~3,146.3 GWh, 96.0% from installations above 500 kW, concentrated in large wind.…

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Preprint🇪🇺 EuropeZenodo2026#Disclosure InfrastructureDOI

Replication Package: A Common European Transition, Unevenly Received — Cross-Country Heterogeneity in SME Resource-Efficiency Convergence, and a Baseline for the CSRD Omnibus Reform

RECIO-ROMÁN, ALMUDENA, RECIO MENÉNDEZ, MANUEL, ROMÁN GONZÁLEZ, MARÍA VICTORIA

This replication package supports a study on cross-country heterogeneity in SME resource-efficiency convergence across Europe. It documents uneven reception of the common transition and establishes a baseline for evaluating the CSRD Omnibus…

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🌍 GlobalDatasetZenodo2026#AI × ESGDOI

GREEN TRANSITION AND ALGORITHMS: AN ECONOMIC ASSESSMENT OF THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DECARBONISATION OF INDUSTRIAL ENTERPRISES (THE EXPERIENCE OF GERMANY AND PROSPECTS FOR UZBEKISTAN)

Abdubannonova Khonzodabonu, Worldly Knowledge Publishing Centre

This article assesses the economic effects of AI and intelligent energy management on industrial decarbonisation, comparing Germany with Uzbekistan. It frames machine learning as an economic rather than environmental instrument, decomposing…

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Peer-reviewedJournalJournal of Law and Bibliometrics Studies2026#ESGDOI

A Bibliometric Analysis and Literature Review of Sustainable Business Practices: Sustainability Disclosure in Indonesia’s Cement Industry

Wijaya Triwacananingrum, Rahmawati Rahmawati, Djuminah Djuminah +1

This study analyzes sustainability reports from 17 Indonesian cement companies (2017-2020) using GRI standards, combining word-count textual analysis (Loughran-McDonald) with bibliometric mapping. Semen Jawa showed the strongest overall and…

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Peer-reviewedCNJournalUtilities Policy2026#ESGDOI

Internal factors shaping ESG ratings in Chinese listed power firms

Haizhou Tang, Zhiming Xie, Qiang Fu

An empirical study examining the internal firm-level factors that shape ESG ratings among Chinese listed power companies. It analyzes how attributes such as firm size, governance, and disclosure posture influence ratings, aiming to clarify …

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Peer-reviewedCNJournalResearch in International Business and Finance2026#ESGDOI

ESG ratings and over-indebtedness: Evidence from China

Chao Wei, Yuzhao Zhang

An empirical study examining the relationship between ESG ratings and over-indebtedness among Chinese firms. It likely tests whether higher ESG scores correlate with lower leverage or financing costs, or whether over-indebted firms manipula…

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Peer-reviewedJournalResearch in International Business and Finance2026#ESGDOI

How does digitalization affect divergence in corporate ESG ratings?

Hongli Fan, Yuqi Wang, Zhi Zhuo +1

This study examines how corporate digitalization affects divergence in ESG ratings. It explores whether digital transformation improves disclosure quality and reduces rating dispersion. ESG rating divergence matters for investors and cost o…

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Peer-reviewedJournalCritical Perspectives on Accounting2026#ESGDOI

Uncritical adoption: academia's role in legitimising ESG ratings

Keelan McMahon, Orla McCullagh, Philip O'Regan

This paper critically examines how academia has uncritically adopted ESG ratings, thereby legitimising rating agencies' methodologies and reinforcing the authority of the ESG rating industry. It highlights the risk that unvalidated ESG scor…

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Peer-reviewedJournalFuel2026#HydrogenDOI

Enhancing sustainability of on-grid hybrid PV–wind systems for green hydrogen production from unconventional resources: a meta-analytical and deep learning approach

Yuki Trisnoaji, Singgih Dwi Prasetyo, Zainal Arifin +1

This study examines the sustainability of on-grid hybrid PV–wind systems for green hydrogen production from unconventional resources, combining meta-analysis with deep learning. It aims to evaluate and optimize system performance and enviro…

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Peer-reviewedJournalInternational Journal of Entrepreneurship and Small Business2026#HydrogenDOI

Entrepreneurial green hydrogen small-scale ventures and their viability determinants: a PLS-SEM approach

Samarth Sharma, Narendra Singh, Pallavi Sharda Garg +2

This study empirically examines the determinants of viability for small-scale entrepreneurial green hydrogen ventures using PLS-SEM. It statistically tests which managerial, market, and policy factors drive the sustainability of these ventu…

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