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 441–460 of 803 papers

🇨🇳 China📚 Peer-reviewed · JournalApplied Sciences2026#Carbon PricingDOI

Carbon Allowance Price Forecasting Based on a Multi-Scale Decomposition Strategy and a TCN–LSTM Hybrid Model: A Case Study of Hubei Province

Guidan Zhong, Binbin Zhao, Yuan Xue

This paper proposes a short-term carbon allowance price forecasting framework using multi-scale decomposition (CEEMDAN-PSO and VMD) and a TCN-LSTM hybrid model. Transfer entropy identifies causal relationships for series reconstruction. Emp…

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🇨🇳 ChinaDatasetZenodo (CERN European Organization for Nuclear Research)2026#Carbon PricingDOI

ECMAS-v1

Li Z, Lu‐Tao Zhao, Zhi Qu +4

This study develops a multi-agent simulation model (ECMAS) to analyze the interaction between electricity and carbon markets. It evaluates the impact of gradual auction introduction and quota reduction on carbon price stability and low-carb…

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🇨🇳 China📚 Peer-reviewed · JournalSustainability2026#Carbon PricingDOI

Assessing the Impact of Carbon Pricing on the Sustainable Transition of Coal-Dominated Power Systems in China: An Integrated Resource Planning Approach

Wanyue Xuan, Rijia Ding, RuiYing Wang +1

This paper analyzes the impact of carbon pricing on the low-carbon transition of China's coal-fired power industry using an integrated resource planning model. It finds that carbon price changes significantly affect capacity mix and CO2 emi…

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🇨🇳 China📚 Peer-reviewed · JournalSustainability2026#Carbon PricingDOI

Optimization of Carbon Emission Reduction Task Allocation in China (2020–2030): A Cost-Based Inter-Provincial Cooperation Mechanism

Xinyu Wang, Hongyun Zhao, Pansong Jiang

This study proposes a cost-based inter-provincial cooperation mechanism for carbon emission reduction task allocation in China, using marginal abatement cost curves. Results show cooperation reduces national costs by 60-70% with high cooper…

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🇨🇳 China📚 Peer-reviewed · JournalEnergy Economics2026#Carbon PricingDOI

Predictability and causal identification of carbon prices using interpretable variables: Evidence from China's Hubei carbon market

He Jiang, Rongyu Cao, Xue-li Chen +2

This paper empirically analyzes the predictability and causal identification of carbon prices using interpretable variables, based on data from China's Hubei carbon market. Findings reveal significant impacts of economic and energy variable…

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🇪🇺 Europe📚 Peer-reviewed · JournalDialogues on Climate Change2026#Carbon PricingDOI

A liability for the climate impact of foods for financing negative emissions

Emma Moberg, Anders Lyngfelt, Mathias Fridahl

This paper proposes a food climate liability fee to finance negative emissions technologies, based on the climate impact of food and the estimated cost of BECCS. Using Sweden as a case study, it shows that targeting all food-related emissio…

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🇪🇺 Europe📚 Peer-reviewed · JournalOIDLES Observatorio Iberoamericano del Desarrollo Local y la Economía Social2026#Carbon PricingDOI

ENTRE FRONTEIRAS E EMISSÕES: A FACE EXTRATERRITORIAL DO EUROPEAN UNION EMISSIONS TRADING SYSTEM

Roberson Silva Barbosa, Roberto Luiz Silva

This paper legally analyzes the extraterritorial application of the EU Emissions Trading System (EU ETS), focusing on the inclusion of aviation via Directive 2008/101/EC and the ECJ's validation in case C-366/10. It argues that while the Co…

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📚 Peer-reviewed · JournalTransportation Research Part A: Policy and Practice2026#Carbon PricingDOI

Optimal railway freight subsidy scheme for hinterland container transportation network considering carbon tax and shippers’ choice behavior

Yunqiang Wu, Lichao Zhu, Rong Zhang

This study proposes an optimal railway freight subsidy scheme for hinterland container transportation networks, incorporating carbon tax and shippers' choice behavior. It analyzes how subsidies can promote modal shift to rail, reducing carb…

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