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 141–160 of 2204 papers

Peer-reviewed🇨🇳 ChinaJournalEngineering Applications of Artificial Intelligence2026#Carbon PricingDOI

A monotonic multi-output mixed-frequency quantile regression neural network for carbon price prediction

Xiwen Qin, Liping Yuan, Xiaogang Dong +2

This study proposes MMQRGRU-MIDAS, a monotonic multi-output mixed-frequency quantile regression neural network for carbon price prediction. Using LASSO for factor selection, a MIDAS module to model raw mixed-frequency data without interpola…

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Peer-reviewedConferenceAmerican Journal of Agricultural Economics2011#Carbon PricingDOI

Is there anything new about border tax adjustments and climate policy?

Sheldon I.

A paper examining border tax adjustments in the context of climate policy. No abstract is available, but it likely reviews the novelty and policy debates around carbon border adjustments. Relevant to readers tracking the intersection of car…

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Peer-reviewedCNJournalEnergy and Climate Management2025#Carbon PricingDOI

A review of the operational results of the K-ETS (2015–2024)

Park J.A.

This review examines the operational results of Korea's Emissions Trading Scheme (K-ETS) from 2015 to 2024. It synthesizes the design, price dynamics, and abatement outcomes of one of the world's major operating cap-and-trade systems. It of…

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Peer-reviewedJournalEnvironmental Impact Assessment Review2026#Carbon PricingDOI

Robust carbon price forecasting across frequencies and scales: A novel hybrid-attention multivariate information-fusion framework with interpretable attributions

Yang H.

Proposes a hybrid-attention multivariate information-fusion framework for robust carbon price forecasting across frequencies and scales, with interpretable attribution of predictions. Directly relevant to carbon markets and climate finance …

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Peer-reviewedCNConferenceCtisc 2022 2022 4th International Conference on Advances in Computer Technology Information Science and Communications2022#Carbon PricingDOI

Implications from German Carbon Market Management for China's Local Governments

Li B.

A policy-comparison study drawing lessons from German carbon market management for Chinese local governments implementing emissions trading. It focuses on subnational enforcement and oversight design, contrasting China's central-led system …

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