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 841–860 of 23592 papers

Peer-reviewed🇨🇳 ChinaJournalProceedings of the Institution of Civil Engineers - Construction Materials2026#Energy TransitionDOI

Low-carbon precast concrete: optimising mixture design and renewable-energy steam curing

Xuhui Wang, Tongsheng Zhang, G.N. Xu +5

This study optimizes mixture design and renewable-energy steam curing for precast concrete, achieving CO2 emission reductions of 71.7-76.4 kg/m³. A mix with 15% GGBS and controlled curing improves strength and durability while cutting costs…

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Peer-reviewed🇨🇳 ChinaJournalDiscover Sustainability2026#Energy TransitionDOI

Managing ESG and cyber risks in Kazakhstan’s low-carbon transition by aligning EU and Chinese standards through demoethics

Rinat Zhanbayev, Saule Sagintayeva, D.G. Maksimov +4

This study examines ESG and cyber risk management in Kazakhstan's low-carbon transition by aligning EU and Chinese standards through a demoethics framework. Using foresight methods like SWOT and Cartesian square, it evaluates strategic path…

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Peer-reviewed🇪🇺 EuropeJournalDiscover Environment2026#Climate FinanceDOI

Estimating low-carbon GDP and employment effects of green expenditures

László Bokor

This paper proposes a simple input-output framework for estimating GDP and employment in low-GHG-intensity sectors resulting from green expenditures. It provides a numerical example based on Hungarian data and highlights practical implement…

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Peer-reviewed🌍 GlobalJournalLondon School of Economics and Political Science Research Online (London School of Economics and Political Science)2026#Policy

Just Transition and Green v. Green litigation: adjudicating dilemmas on the road to a low-carbon future

Joana Setzer

This article examines the evolution of climate litigation from a tool to compel action to a forum for contesting the quality and fairness of climate measures. It analyzes 'just transition' litigation, where workers and communities claim cli…

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Peer-reviewed🌍 GlobalJournalSustainable Energy Technologies and Assessments2026#HydrogenDOI

Hydrogen production and storage R&D technologies for carbon neutrality in Canada: evidence from energy transition and emission reduction dynamics

Uğur Korkut Pata, Mustafa Naimoglu, Selin Karlilar Pata

This study analyzes the long-run relationship between hydrogen R&D expenditures and CO2 emissions in Canada (2004Q1-2024Q4) using Fourier ADL cointegration. Hydrogen production and storage R&D are significantly associated with lower emissio…

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Peer-reviewed🇨🇳 ChinaJournalJournal of Geophysical Research Atmospheres2026#Climate ScienceDOI

Impacts of Vegetation‐Driven BVOC Emissions on Ozone Pollution in the Beijing‐Tianjin‐Hebei Region Under a Carbon Neutrality Pathway

Yongqi Zhao, Hong Liao, Lei Chen +3

This study uses WRF-Chem to assess how vegetation expansion under China's carbon neutrality pathway increases BVOC emissions and affects ozone pollution in the Beijing-Tianjin-Hebei region. In 2040, increased BVOCs raise urban MDA8 O3 by 3.…

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Peer-reviewedJournalCGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)2026#Supply Chain

Estimating carbon footprints and economic trade-offs in Mongolia's cashmere value chain: An integrated system dynamics approach

Joshua Aboah, Derek Chan, Sirak T. Bahta +3

This paper uses an integrated system dynamics approach to estimate carbon footprints and economic trade-offs across Mongolia's cashmere value chain. It identifies emission hotspots and analyzes the cost-effectiveness of decarbonization meas…

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🌍 GlobalJournalLondon School of Economics and Political Science Research Online (London School of Economics and Political Science)2026#Carbon PricingDOI

Decarbonising the aluminium sector in India: implications of the Carbon Credit Trading Scheme

Sangeeth Selvaraju, Parth Kumar

This policy brief analyzes why Indian aluminium production is among the most emission-intensive globally (18–24 tCO2e per tonne) and examines the role of the Carbon Credit Trading Scheme (CCTS) in decarbonizing this hard-to-abate sector. It…

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Peer-reviewed🇨🇳 ChinaJournalSustainable Development2026#Carbon PricingDOI

Does the Carbon Emission Trading Market Have a Cascading Effect on the Energy Stock Market of China: Time and Frequency Evidence

Qingru Sun, Xueyan Zhao, Zihan Chen +3

This paper systematically analyzes the multi-scale cascading transmission effect from China's carbon emission trading (CET) market to the energy stock market. Findings show that direct impact increases with time scale, indirect impact accou…

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JournalInkubis Jurnal Ekonomi dan Bisnis2026#AI × ESGDOI

Financial Reporting Integrity in the Digital and Sustainability Era: A Systematic Literature Review on Governance, ESG, and Technological Transparency

Winda Wulandari, Sri Widyastuti, Harnovinsah Harnovinsah +1

This systematic literature review reconceptualizes financial reporting integrity as a socio-technical governance phenomenon shaped by governance accountability, sustainability legitimacy, and technological transparency. Analyzing 28 Scopus …

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Peer-reviewed🌍 GlobalJournalBusiness Strategy and the Environment2026#AI × ESGDOI

Do Banks in the Middle East and North Africa Region Price Carbon Exposure?

Yaacob Ibrahim, Khaled Hussainey, Taghred Mokhtar Sayed Moawad

This study examines whether carbon exposure affects corporate borrowing costs in the MENA region using a panel of 771 firm-year observations from 2016 to 2023. Combining fixed effects, IV, GMM, quantile regression, and machine learning, it …

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