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 501–520 of 546 papers

🌍 GlobalJournalPolitics and Governance2022#Carbon PricingDOI

Carbon Pricing Under Pressure: Withering Markets?

Gulbrandsen L.H.

This paper analyzes the political and economic pressures on carbon pricing mechanisms and their resulting market fragility. It examines the implications for sustainability and emission reduction effectiveness, suggesting the need for policy…

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🌍 GlobalReportCarbon Pricing Design Experiences and Issues2015#Carbon PricingDOI

Carbon pricing: Design, experiences and issues

Kreiser L.

This paper reviews carbon pricing designs (carbon taxes and emissions trading systems), synthesizes experiences from early adopters, and discusses key issues such as price levels, competitiveness, and distributional effects. It offers a bal…

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Peer-reviewed🌍 GlobalJournalEnergies2025#Carbon PricingDOI

Does Carbon Pricing Matter? Evidence from a Global Sample

Al-Abdulqader K.S.

This paper empirically analyzes the impact of carbon pricing policies on emission reductions using a global sample. It statistically tests policy effectiveness and suggests that carbon pricing leads to significant emission reductions.

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Peer-reviewed🇺🇸 USAJournalProcesses2026#Carbon PricingDOI

Distributed Robust Optimization Scheduling for Integrated Energy Systems Based on Data-Driven and Green Certificate-Carbon Trading Mechanisms

Yinghui Chen, Weiqing Wang, Xiaozhu Li +2

This paper proposes a novel scheduling framework for integrated energy systems that combines data-driven scenario generation with multi-objective distributionally robust optimization. It uses LSTM-AE and K-Means clustering to generate typic…

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Peer-reviewedCNJournalProcesses2026#Carbon PricingDOI

Distributionally Robust Optimization for Integrated Energy System with Tiered Carbon Trading: Synergizing CCUS with Hydrogen Blending Combustion

Mingyao Huang, Meiheriayi Mutailipu, Peng Wang +3

This study presents an integrated energy system (IES) with hydrogen refinement and tiered carbon trading, using distributionally robust optimization with kernel density estimation to handle uncertainties. Results show that combining CCUS wi…

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Peer-reviewed🌍 GlobalJournalSustainability2026#Carbon PricingDOI

Decarbonizing Coastal Shipping: Voyage-Level CO2 Intensity, Fuel Switching and Carbon Pricing in a Distribution-Free Causal Framework

Murat Yıldız, Abdurrahim Akgundogdu, Güldem Elmas

This study develops a distribution-free causal forecasting framework for voyage-level CO2 intensity, using 1440 real-world voyages on four Nigerian coastal routes. A physics-informed LightGBM model with leave-one-route-out protocol predicts…

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