gxceed
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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Topic: #Carbon Pricing (clear)

Showing 61–80 of 84 papers

🌍 Global📚 Peer-reviewed · JournalDigital Science2026#Carbon PricingDOI

Exploring the Integration Research of Carbon Trading and RWA Technology

Xuexue Zhang, FanYang Zeng

This paper explores the integration of carbon trading with Real World Assets (RWA) technology using blockchain to address issues like information opacity and low liquidity in traditional carbon markets. It analyzes the intrinsic logic and o…

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CN📚 Peer-reviewed · JournalJournal of innovation and development2026#Carbon PricingDOI

Empirical Study and Prediction on the Influencing Factors of Carbon Emission Rights Trading Prices-Taking the National Carbon Emission Rights Trading Market in China as an Example

Mingyu Liang, Yiling Zuo

This paper studies the Chinese national carbon market from 2021 to 2025 using OLS regression with variables including policy, EUA prices, GDP, HS300, coal prices, and international oil prices. Findings show that policies and energy prices a…

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🇪🇺 Europe📚 Peer-reviewed · JournalAnnual Review of Resource Economics2026#Carbon PricingDOI

Happy Birthday: Twenty Years of the EU ETS

Thomas Sterner, Dallas Burtraw, Jos Delbeke +3

This paper reviews 20 years of the EU Emissions Trading System (EU ETS), the world's largest carbon market. It highlights how the system evolved from initial price collapse to effective emission reductions through the Market Stability Reser…

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🌍 Global📚 Peer-reviewed · JournalEnvironment Development and Sustainability2026#Carbon PricingDOI

Correction: How Do external shocks shape the dynamic relationships between the EU carbon emissions trading market and fossil energy markets?

Zehui Guo, Shujie Sun, Xiaoyang Chen +3

This paper empirically analyzes how external shocks shape the dynamic relationships between the EU carbon emissions trading market and fossil energy markets. Using time series data, it reveals changes in market linkages depending on shock t…

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📚 Peer-reviewed · JournalFachrepositorium Lebenswissenschaften2026#Carbon PricingDOI

Carbon pricing and the affordability of residential heating

Milan Jakob Reda, Erik Gawel, Paul Lehmann +1

This paper examines the impact of carbon pricing on residential heating costs, highlighting regressive effects on low-income households and the need for complementary policies. It proposes measures to enhance social acceptability based on e…

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🇪🇺 Europe📚 Peer-reviewed · JournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon PricingDOI

To make European climate policy work, we need to put a carbon price on imports

Emil Dimanchev

This paper argues that for European climate policy to be effective, a carbon price on imports is essential. It emphasizes the importance of border carbon adjustments like CBAM to prevent carbon leakage and maintain competitiveness. It exami…

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🌍 Global📚 Peer-reviewed · JournalInternational Journal of Theoretical and Applied Finance2026#Carbon PricingDOI

EMISSION IMPOSSIBLE: BALANCING ENVIRONMENTAL CONCERNS AND ENERGY PRICES

Rene Aid, Maria Arduca, Sara Biagini +1

This paper develops a theoretical framework to analyze how carbon pricing policies affect domestic energy producer prices and quantify the policy-driven price impacts of achieving net-zero emissions. It models energy firms' behavior under e…

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🇪🇺 EuropePreprintApplied Energy2026#Carbon PricingDOI

Uncovering drivers of EU carbon futures with Bayesian networks

Maciejowski, Jan, Leonelli, Manuele

This paper uses Bayesian networks to analyze drivers of EUA futures prices under the EU ETS, covering 2013-2025. Energy commodities (coal, oil) are the most influential, while stock market sentiment affects prices indirectly. The dynamic mo…

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