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 8041–8060 of 33577 papers

Peer-reviewed🇪🇺 EuropeJournalSustainability2026#ESGDOI

Navigating Sustainability Reporting in Polish Municipally Owned Companies: Awareness, Intentions, and Potential Transitional Risk Exposure

Katarzyna Wójtowicz, Krzysztof Kluza, Beata Zofia Filipiak +1

This study analyzes ESG reporting readiness among Polish municipally owned companies (MOCs) based on a survey of 226 enterprises. It finds substantial gaps: only 14% have current or planned non-financial or EU Taxonomy reporting. Indirect E…

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Peer-reviewedJournalJURNAL AKUNTANSI DAN KEUANGAN ISLAM2026#ESGDOI

The Influence of Islamic Social Reporting and Sustainability Performance on the Financial Performance of Sharia Banks

Arista Putri Andriani, Nur Fatoni, Mardhiyaturrositaningsih Mardhiyaturrositaningsih

This study examines the impact of Islamic Social Reporting (ISR) and Sustainability Performance (SP) on the financial performance of Sharia banks using panel data from 2021-2024. Results show that ISR and SP have a significant positive infl…

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Peer-reviewed🌍 GlobalJournalSmart Cities2026#Energy EfficiencyDOI

Unit-Level Analysis of Smart Lighting and Remote Management: A Technical Reference for Energy Savings and Carbon Footprint Reduction in Cities, Industrial Sectors, and Intelligent Environments

Cristian Cuji, Luis Tipán, Jorge Muñoz +2

This study proposes a reproducible unit-level methodology to transform field data from smart lighting installations into indicators of electrical performance, energy efficiency, avoided emissions, and economic benefit. Results show that man…

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JournalOpen Science Framework2026#Supply ChainDOI

Sustainable Logistics and Carbon Footprint in Global Supply Chains: The Moderating Role of Governance Mechanisms – A PRISMA 2020 Systematic Review of Empirical Evidence (2015–2025)

EDDAHMANI ABDELALI

This systematic review synthesizes empirical evidence (2015-2025) on sustainable logistics and supply chain carbon footprint, focusing on the moderating role of contractual, relational, and informational governance mechanisms. Following PRI…

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Peer-reviewed🇪🇺 EuropeJournalSustainability2026#Energy TransitionDOI

Carbon Footprint and Energy Use of Road Tunnel Construction: A Systematic LCA Review and Case Study of Poland

Samson Femi Adesope, Klaudia Zwolińska-Glądys, Marek Borowski

Road tunnel construction is carbon-intensive, yet emission hotspots and regional differences are understudied. This paper combines a PRISMA-based systematic review with a Polish case-study LCA, finding material production accounts for 70-95…

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Peer-reviewed🌍 GlobalJournalOcean & Coastal Management2026#Energy TransitionDOI

Tracing carbon footprints from vessel footprints: Movement analytics for localized vessel carbon emissions estimation using AIS trajectory data

Jinho Nam, Paul H. Jung

This paper proposes a movement analytics approach to estimate localized vessel carbon emissions using AIS trajectory data. By analyzing vessel movements, it enables high-resolution emission estimation, contributing to decarbonization in the…

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Journal2026#Energy TransitionDOI

Carbon-Neutral Pathways for Urban Building Design

(著者不明)

This special issue explores carbon-neutral pathways for urban buildings across their full life cycle. It covers sustainable heritage buildings, distributed energy systems, passive building wind environment optimization, and low-carbon consu…

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Preprint🌍 GlobalarXiv (Cornell University)2026#AI × ESGDOI

AgentDecarbonizer: Carbon-Aware Execution for AI Agents

Leyi Yan, Shuangning Li, Sihang Liu

This paper characterizes carbon emissions of AI agent workloads and proposes carbon-aware execution scheduling that exploits deadline flexibility. AgentDecarbonizer, running alongside OpenClaw, estimates task duration and schedules executio…

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