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 1–20 of 1640 papers

Peer-reviewedJournalInternational Journal of Climate Change Strategies and Management2009#Carbon PricingDOI

Emissions trading: What makes it work?

Chevallier J.

A study examining what makes emissions trading systems (ETS) work. It likely addresses design features, price signals, coverage, and market liquidity that determine the success of carbon pricing mechanisms. Without an abstract, details are …

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CNDatasetFigshare2026#Carbon PricingDOI

Does Carbon Emissions Trading Crowd Out Green Innovation?

Minhua Lu

Replication package for a study on the heterogeneous effects of China's carbon emissions trading pilot (CETP) on urban green innovation. Includes city-level panel data (2000–2023) on green patents, CETP designations, covariates, and firm-le…

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Conference2026 7th International Conference on Energy Power and Automation Engineering (ICEPAE)2026#Carbon PricingDOI

Equilibrium-Oriented Strategic Bidding for Generation Companies in Coupled Electricity and Carbon Markets

Pei-Zhe Yi, Yan-Jie Li, Peng Ma +2

This paper models strategic bidding by generation companies in a coupled electricity-carbon market using a non-cooperative game. Each firm maximizes profit under capacity, emission, and market-clearing constraints, converging to equilibrium…

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CN2026 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)2026#Carbon PricingDOI

Multi-Agent Collaborative Optimal Scheduling of Integrated Energy Systems Considering Carbon Trading and Demand Response in the Market Environment

Bing-Lin Yang, Ming Yang, Pei-Heng Qi +3

This paper builds a multi-agent Stackelberg game model for integrated energy systems, coupling a price-carbon dual-incentive demand response with a reward-penalty stepped carbon trading mechanism. An adaptive differential evolution algorith…

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🇪🇺 EuropeJournalDeutsche Bundesbank – Research Centre2026#Carbon PricingDOI

Macroeconomic effects of carbon-intensive energy price changes

Matthias Burgert, Matthieu Darracq Pariès, Luigi Durand +7

This paper compares multi-sector environmental macroeconomic models to assess how carbon-intensive energy price changes challenge monetary policy. It evaluates temporary and permanent energy price increases for the euro area and the US, fin…

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Peer-reviewed🇺🇸 USAJournalGeorge Mason University2026#Carbon PricingDOI

Renewable-only dispatch contracts achieve the same zero-carbon computing as a carbon tax exceeding every operating U.S. carbon price: evidence from the Cipher–Luminant power purchase agreement

Shreyas Kondapuram, Jiasun Li

This paper nests a fossil-generation carbon tax and a renewable-only dispatch cap in one equilibrium model calibrated to the Cipher–Luminant PPA (200–210 MW, ERCOT). It shows the renewable-only contract achieves identical zero-carbon comput…

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JournalTyöväentutkimus Vuosikirja2026#Carbon Pricing

Internal Carbon Pricing in Airline Decision-Making

Erno Miettinen

Examines how airlines embed internal carbon pricing (ICP) into investment and operational decisions. It frames ICP as a tool to integrate decarbonization priorities and carbon risk into corporate decision-making. No abstract available, so e…

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CNDatasetZenodo (CERN European Organization for Nuclear Research)2026#Carbon PricingDOI

Replication Data for "Carbon Emissions Trading and High-Quality Agricultural Development in China: Evidence from Double Machine Learning and Staggered Adoption"

Yonghui Li

Replication package for a study estimating the causal effect of China's carbon emissions trading scheme on high-quality agricultural development, using double machine learning and staggered adoption designs. It provides a 2007–2020 balanced…

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