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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Topic: #Carbon Pricing (clear)

Showing 541–560 of 2234 papers

Peer-reviewed🌍 GlobalJournalEnvironmental and Resource Economics2026#Carbon PricingDOI

On Differentiated Carbon Prices and Discount Rates

David Anthoff, Francis Dennig, Johannes Emmerling

This paper theoretically analyzes the implications of differentiated carbon prices and discount rates for the economic evaluation of climate policies. It examines efficiency-equity trade-offs when carbon prices vary across sectors or region…

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CNConference2026 IEEE 27th China Conference on System Simulation Technology and its Applications (CCSSTA)2026#Carbon PricingDOI

Distributionally Robust Optimal Dispatch of Seaport Microgrids with Tiered Carbon Trading and Renewable Energy Uncertainty

Mingze Wang, Delong Zhang, Xiaosong Gao

This paper proposes a two-stage distributionally robust optimization (DRO) framework for seaport microgrid dispatch, integrating a linear programming reformulation of tiered carbon trading (TCT) with linear decision rules. It eliminates bin…

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Peer-reviewed🇨🇳 ChinaJournalTransport Policy2026#Carbon PricingDOI

The impacts of carbon quota allocation methods, decision-making modes, and shippers’ low-carbon preferences on the maritime supply chain

Tingsong Wang, Xinghe Wang, Yadong Wang +3

This paper analyzes the impacts of carbon quota allocation methods, decision-making modes, and shippers' low-carbon preferences on the maritime supply chain. It reveals the interaction between carbon policy and supply chain strategies, offe…

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🇨🇳 ChinaJournalSustainability2026#Carbon PricingDOI

Correction: Yan et al. Carbon-Aware Dispatch of Industrial Park Energy Systems with Demand Response and Ladder-Type Carbon Trading. Sustainability 2025, 17, 9472

Chao Yan, Jianyun Xu, Chunrui Li +3

This is a correction notice for a study on carbon-aware dispatch of industrial park energy systems, integrating demand response and ladder-type carbon trading to balance emissions reduction and economic efficiency. The correction pertains t…

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Peer-reviewed🌍 GlobalJournalCarbon Balance and Management2026#Carbon PricingDOI

EU carbon pricing and clean energy markets: evidence from cross-quantilogram and multivariate time-varying quantile regression

Godwin Olasehinde-Williams, Seyi Saint Akadırı

This study analyzes how EU-ETS futures prices affect returns of ten clean energy subsectors using daily data from 2010 to 2024. Using cross-quantilogram and multivariate time-varying quantile regression, it finds nonlinear, asymmetric depen…

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Peer-reviewedJournalCarbon Management2019#Carbon PricingDOI

Carbon price forecasting models based on big data analytics

Yahşi M.

This paper proposes and validates carbon price forecasting models using big data analytics. By capturing the drivers of carbon price fluctuations in a data-driven manner, it aims to predict future price trends, providing useful information …

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🇪🇺 EuropeJournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon PricingDOI

Carbon pricing is the cornerstone of European climate policy, yet its evaluation remains trapped in an average-effects paradigm. The most comprehensive meta-analysis to date, covering 80 ex-post evaluations across 21 carbon pricing schemes, establishes that carbon pricing reduces emissions by 5% to 21% in the first years of operation, but also documents that heterogeneity in outcomes is driven by policy design and context rather than by price levels or instrument type (Döbbeling-Hildebrandt e...

Djamel Lekbir

This paper proposes an Estimation-to-Compensation framework using causal machine learning (double/debiased ML, causal forests) to estimate installation-level heterogeneous treatment effects of the EU ETS and derive targeted compensation pol…

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Peer-reviewed🇪🇺 EuropeJournalEconomic Development/Ekonomski razvoj2026#Carbon PricingDOI

CBAM IN NORTH MACEDONIA: SECTORAL EXPOSURE, COST BURDEN AND POLICY OPTIONS

Silvana Mojsovska, Zlatko Veterovski

This paper analyzes the impact of the EU's Carbon Border Adjustment Mechanism (CBAM) on North Macedonia's export sectors, highlighting significant exposure in iron and steel. It estimates annual costs of approximately EUR 70.4 million by 20…

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Peer-reviewedCNJournalCogent Economics & Finance2026#Carbon PricingDOI

Decarbonization technology competitiveness and provincial energy demand shifts in China’s carbon-intensive industries under carbon border adjustment mechanism

Fuhao Di, Hengsong Zhao

This study analyzes the impact of the Carbon Border Adjustment Mechanism (CBAM) on China's carbon-intensive industries, evaluating provincial energy demand shifts and competitiveness of decarbonization technologies. It highlights the need f…

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ReportSustainable Practices Concepts Methodologies Tools and Applications2013#Carbon PricingDOI

Emissions Trading Schemes in the Transportation Sector

Maragkogianni A.

This paper focuses on emissions trading schemes (ETS) in the transportation sector, examining sector-specific challenges and opportunities. While specific analysis is unclear, it likely discusses the role of market mechanisms in decarbonizi…

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Peer-reviewed🇪🇺 EuropeJournalWiley Interdisciplinary Reviews Climate Change2014#Carbon PricingDOI

The effects and side-effects of the EU emissions trading scheme

Laing T.

This paper empirically analyzes the effects and side-effects of the EU Emissions Trading System (EU ETS). It examines the impact of carbon pricing on emission reductions and potential side-effects such as competitiveness and carbon leakage,…

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