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 221–240 of 797 papers

📚 Peer-reviewed · JournalJournal of Cleaner Production2026#Carbon PricingDOI

Low-carbon and robust optimal scheduling strategy for park-level integrated energy system considering supply-side participation in carbon tariff mitigation

Wenhao Shen, Fugui Dong, Linchao Yang +2

This paper proposes a low-carbon and robust optimal scheduling strategy for a park-level integrated energy system with supply-side participation in carbon tariff mitigation. It optimizes system operation under carbon price uncertainty to si…

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🌍 GlobalJournalWashington, DC: World Bank eBooks2026#Carbon PricingDOI

State and Trends of Carbon Pricing 2026

World Bank

This report provides a comprehensive overview of carbon pricing instruments worldwide, including carbon taxes, emissions trading systems, and crediting mechanisms. It analyzes implementation trends, offering key insights for policymakers an…

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📚 Peer-reviewed · JournalWorld Journal of Advanced Engineering Technology and Sciences2026#Carbon PricingDOI

Deep Decarbonization of the Electricity Sector: The Interplay of Carbon Pricing and Complementary Policies

Simge AKSIT BASBAYRAM, Beril SALMAN AKIN

This paper analyzes the role of carbon pricing (taxes and ETS) in deep decarbonization of the electricity sector. It finds that while pricing alters the merit order and incentivizes short-term fuel switching, it is insufficient for net-zero…

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CN📚 Peer-reviewed · JournalEnergies2025#Carbon PricingDOI

The Long-Term Impact of Carbon Border Adjustment Mechanism on China’s Power Supply and Demand and Environmental Benefits: An Analysis Based on the Computable General Equilibrium Model

Yan L.

This paper analyzes the long-term impacts of the EU's Carbon Border Adjustment Mechanism (CBAM) on China's power supply-demand balance and CO2 emission reductions using a computable general equilibrium (CGE) model. The findings indicate tha…

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

The Carbon Reduction Effects of Urban Green and Low-Carbon Transition Policies: Synergies Derived from Pilot Schemes for Carbon Trading and Green Credit Interest Subsidies

Yudan Xu, Hong Wu

Using panel data from 274 Chinese cities, this study employs a difference-in-differences model to assess the synergistic effect of carbon trading and green credit interest subsidies on regional carbon emissions. Results show that policy syn…

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📚 Peer-reviewed · JournalInternational Journal of Environment and Climate Change2026#Carbon PricingDOI

A Review on Carbon Trade and Related Policy in India

S. Nandhakumar, Laxmi Balaganoormath, Sushma C. Meti +2

This review outlines India's carbon credit trading framework, including REC, PAT, and CCTS policies that have driven industrial decarbonization, while highlighting the limited participation of the agricultural sector. Conservation agricultu…

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📚 Peer-reviewed · JournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon PricingDOI

Law on Carbon Credit Trading on the Voluntary Carbon Market

Tran Van Mong

This paper analyzes the legal framework for carbon credit trading on the Voluntary Carbon Market (VCM) in Vietnam in the context of achieving net zero emissions by 2050. It identifies shortcomings in legal definitions, ownership rights, MRV…

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

Comparison and Optimization of Carbon Emission Trading Price Prediction Models in China—Based on Time Series Analysis and Machine Learning

Bingyan Fan, Yuan Xue, Mingyue Dai +2

This study compares four models (ARIMAX, CNN, GRU, Transformer) for carbon price prediction across five Chinese pilot markets. LASSO identifies key factors, and hybrid models SVR-ARIMAX and GA-GRU improve accuracy. Forecasts show Shenzhen h…

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