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 101–120 of 1640 papers

Peer-reviewed🇨🇳 ChinaJournalFinance research letters2026#Carbon PricingDOI

Carbon emissions trading and supply chain concentration

Zhaohui Chong, Yinglei Liu, Cheng Zhang +2

An empirical study examining how China's carbon emissions trading scheme affects firms' supply chain structure, particularly supplier concentration. It suggests carbon pricing can reshape procurement relationships, linking climate policy to…

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Peer-reviewedJournalProcess Integration and Optimization for Sustainability2026#Carbon PricingDOI

Managing Sustainable Inventory under Inflation and Carbon Taxes: A Model with Advance Payment, Preservation, and Stock-Dependent Demand for Green Products

Verma S.K.

This paper develops an inventory model for green products under simultaneous inflation and carbon taxation, incorporating advance payment, preservation efforts, and stock-dependent demand. It analyzes how carbon taxes reshape order quantiti…

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ReportHandbook of Climate Change Mitigation2012#Carbon PricingDOI

Emissions trading

Raufer R.

A work on emissions trading, covering cap-and-trade and baseline-and-credit systems. As a core carbon-pricing instrument, it allocates, trades, and enforces allowances to create abatement incentives. Without an abstract, specifics are uncle…

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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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#Scope 3#Scope 1/2#Carbon Pricing#Renewable Energy#Policy#TCFD#SBT/SBTi#CDP#CCUS#Hydrogen#Climate Finance#Climate Science#EV & Transport#Energy Transition#ESG#Transition Finance#Greenwashing#Climate Risk#Biodiversity#Carbon Accounting#Disclosure Infrastructure#Energy Efficiency#Supply Chain#AI × ESG#Other