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 1161–1180 of 2204 papers

🌍 GlobalJournal2026#Carbon PricingDOI

Introduction

Han Phoumin, Farhad Taghizadeh-Hesary, Youngho Chang +1

This introduction reviews the global carbon pricing landscape per the World Bank's 2025 report: 80 carbon taxes and ETS now cover 28% of global emissions. For emission-intensive industries such as steel, cement, mining, and power, early ado…

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Peer-reviewedJournalEngineering Science and Technology an International Journal2026#Carbon PricingDOI

A novel improved Rao-2 algorithm for solving full AC transmission expansion planning considering carbon emission trading

Nguyen Duc Huy Bui, Thanh Long Duong

This paper proposes an improved Rao-2 algorithm for full AC transmission expansion planning that incorporates carbon emission trading costs. The algorithm optimizes transmission line expansion using an AC power flow model, considering both …

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Peer-reviewed🌍 GlobalJournalScientific Bulletin2026#Carbon PricingDOI

THE EFFECTIVENESS OF PIGOUVIAN TAXES IN REDUCING CARBON EMISSIONS

Rashad Tariyel ALIYEV

This study empirically examines the effectiveness of Pigouvian environmental/carbon taxes in reducing CO₂ emissions in G7 countries from 1994 to 2014. Using second-generation panel methods, it finds a long-run cointegration relationship and…

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Peer-reviewedCNJournalEngineering Applications of Artificial Intelligence2026#Carbon PricingDOI

Scale-aware dynamic fusion of textual and numerical information for carbon price forecasting in Chinese emissions trading markets

Rui Liu, Chaoyong Qin

This paper proposes a scale-aware dynamic fusion method that integrates textual and numerical information to improve carbon price forecasting in Chinese emissions trading markets. The method accounts for different data scales and demonstrat…

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