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 421–440 of 803 papers

🇨🇳 China📚 Peer-reviewed · JournalJournal of Forecasting2026#Carbon PricingDOI

Forecasting Carbon Price Trends With Image‐Based Convolutional Neural Networks

Xiaohang Ren, Zihui Sima, Farhad Taghizadeh‐Hesary +1

This paper proposes a CNN model using EUA chart images to predict carbon price trends. It converts price and volume data into pixel images for next-day and n-day cumulative predictions. The model outperforms traditional machine learning mod…

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🇨🇳 China📚 Peer-reviewed · JournalSystems2026#Carbon PricingDOI

Does China’s Carbon Emission Trading Policy Enhance ESG Performance in Construction Enterprises? Evidence from a Difference-in-Difference Estimation in China

Ruoxi Huang, Yong Liu, Shiwang Yu

This study uses PSM-DID on 2009-2021 data from Chinese A-share listed construction enterprises to assess the impact of China's Carbon Emission Trading System (CETS) on ESG performance. Findings show CETS significantly improves ESG performan…

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JournalElgar Encyclopedia of International Trade2026#Carbon PricingDOI

Border carbon taxes

Brian R. Copeland

This paper analyzes the design and implications of border carbon taxes on international trade and climate policy. It evaluates competitiveness effects on exporting industries and carbon leakage prevention, discussing implementation challeng…

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🌍 Global📚 Peer-reviewed · JournalApplied Mathematical Finance2026#Carbon PricingDOI

Multi-Agent Reinforcement Learning for Greenhouse Gas Offset Credit Markets

Liam Welsh, Udit Grover, Sebastian Jaimungal

This paper proposes a multi-agent reinforcement learning model to optimize trading strategies in greenhouse gas offset credit markets. It simulates interactions among market participants and analyzes carbon price formation and credit distri…

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🇨🇳 China📚 Peer-reviewed · JournalEnvironment Development and Sustainability2026#Carbon PricingDOI

How carbon trading policies drive corporate green dual innovation: based on the moderating role of environmental judicial specialization

Yang Guozhong, W W Jiang

This study analyzes how China's carbon trading policies influence corporate green dual innovation (green technology and management innovation), and examines the moderating role of environmental judicial specialization. It highlights the imp…

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CN📚 Peer-reviewed · JournalCarbon Balance and Management2026#Carbon PricingDOI

Synergistic emission reduction mechanism of command-and-control and market-based incentives: an empirical study based on core firms in supply chains

Liping Wang, Ru Li, Chaoyang Wang +1

This study uses Chinese provincial panel data and 526 supply chain firms in high-carbon industries to examine the effects of command-and-control and market-based environmental regulations on carbon emissions. Using DID and mediation models,…

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📚 Peer-reviewed · JournalDOAJ (DOAJ: Directory of Open Access Journals)2026#Carbon PricingDOI

Dynamics of Corporate Financial Performance in IDX Carbon Initial Trading Participation: A DuPont Five-Step Approach

Danil Maulana, A. Ifayani Haanurat, Asri Jaya

This study examines the financial performance of companies participating in the inaugural IDX Carbon trading in Indonesia using DuPont Five-Step analysis. No significant short-term changes in ROE were found, but adjustments in ROE component…

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