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.
Showing 321–340 of 2204 papers
Yozarwardi Usama Putra, Nurhasan Syah, Eri Barlian +2
This bibliometric study analyzes 203 publications on carbon trading in community-based forest management (CBFM) from Scopus (2000-2025). Using VOSviewer, it reveals publication trends, geographic distribution, and thematic clusters, showing…
Ming-Hui Yu, Jeng-Yan Tsai, Peirchyi Lii +1
This study develops a land-constrained bioenergy valuation model to analyze how carbon pricing, climate finance, and land-use regulations affect biomass producer viability. Using a contingent-claim framework, it finds that higher carbon pri…
Spiegel A.
This paper examines carbon pricing and carbon border adjustment mechanisms (CBAM) as mitigation options for agriculture beyond 2030. It addresses sector-specific emissions characteristics and international competitiveness, outlining policy …
Qi Ding, Xinping Xiao, Lizhong Yang +2
This paper proposes a dual-channel mixed-frequency forecasting method for carbon prices, integrating Informer-BiLSTM deep learning with a Grey-MIDAS framework. By combining data at different frequencies, it aims to capture complex carbon ma…
Yanhua Wu, Hongshuai Dai
This paper addresses volatility forecasting in the EU Emissions Trading System (EU ETS), highlighting that conventional jump detection methods are prone to false discoveries that undermine predictive performance. Applying a universal thresh…
Marco Amendola, Marco Valente
This paper revisits the conventional view that carbon pricing discourages fossil-fuel investment by developing an hourly simulation model of the Italian electricity market. Results show that when carbon cost pass-through to electricity pric…
Tan Q.
This paper proposes an optimization model for power dispatching that incorporates carbon emissions trading in China, aiming to achieve cost reduction and emission reduction through efficient collaborative dispatching. Specific methods and r…
Phelan L.
This paper examines the interplay between climate change, carbon pricing, and insurance systems. It likely discusses how insurance markets can adapt to climate risks and how carbon prices might be integrated into risk assessment and premium…
Xujie Zhao, Yajie BO, Wenjun Wang
This paper reviews China's policies for coordinating electricity and carbon markets, constructs a coupled simulation model using system dynamics, and quantifies carbon cost pass-through rates. It designs a differentiated pass-through mechan…
Otsubo, Yoichi
Using a state-space model with regime-dependent adjustment speeds, we analyze intraday price discovery between EUA futures and a US-listed carbon ETF (KEUA). Innovations concentrate during futures-active hours; ETF-only hours show transitor…
Shahid Najam
This paper explores the potential of carbon markets, discussing how emissions trading and carbon credits can impact corporate strategy and policy. Specific analysis is unclear, but it underscores the importance of carbon pricing.
Md. Habibur Rahman
This study critically evaluates carbon trading from Islamic law and maqasid perspectives, using focus groups and qualitative analysis. It finds carbon credits meet property requirements and align with maqasid by contributing to environmenta…
Kenneth Bicol Dy, Han Yang
This paper analyzes the EU's Carbon Border Adjustment Mechanism (CBAM) as a tool to internalize carbon costs on imports, incentivizing emission reductions in non-EU countries. It examines policy design, implications for international trade …
Shixiong He, Lei Jiang, Mengxu Li +1
This study examines the impact of China's carbon emission trading (CET) policy on income inequality through theoretical and empirical analysis. It finds that CET significantly reduces income inequality, primarily by increasing the labor inc…
Shuaijia Du, Shuaina Li, Xiaogeng Niu
Using a quasi-natural experiment of China's carbon emissions trading pilot policy since 2013, this study employs a multi-period DID model on 30-province panel data. It finds significant emission reductions (coefficient -0.1701), with strong…
Ćosić, Boris, Herc, Luka, Duić, Neven
This repository provides the model code and input data for the H2RES model, analyzing the interconnected power systems of Croatia, Bosnia and Herzegovina, and Serbia from 2026 to 2040 under the Carbon Border Adjustment Mechanism. It include…
Wu Q.
This paper empirically examines the impact of China's carbon emission trading (ETS) pilot markets on emission reductions and the channels through which they operate. Using policy evaluation methods, it estimates effects on firm behavior and…
Dai Y.
This paper analyzes the impact of China's emissions trading scheme (ETS) on the transformation of the manufacturing industry from the perspective of enterprise behavior. It empirically evaluates policy effectiveness and provides implication…
Zhang Y.
This paper empirically analyzes the impact of China's carbon emission trading scheme (ETS) on corporate ESG performance. Using policy implementation as a quasi-natural experiment, it examines whether ETS participation improves firms' ESG sc…
Song J.D.
This paper examines the role of cognitive biases in emissions trading schemes, analyzing how such biases affect market participants' decisions and overall scheme effectiveness, offering insights for more efficient carbon market design.
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