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 341–360 of 2234 papers
Kunju Mol Raj, Robin
This dataset provides empirical evidence on the dynamic relationships between carbon pricing, energy markets, and exchange rates in European currency markets. It supports research on how carbon pricing policies influence international finan…
Xiaowang, Shen
This paper proposes a 'Prim-Lex Nine-Dimensional Framework' to assess coherence in global tax-climate governance. It introduces a Global Tax-Climate Governance Coherence Index (GTCI) and applies it to carbon pricing, global minimum tax, and…
Sohum Logani
This study examines how carbon pricing mechanisms (carbon taxes and ETS) can promote sustainable investment. Using World Bank and GSIA data from 2012-2022, it finds a strong temporal correlation between carbon pricing revenues and sustainab…
Lan T.
This paper analyzes the extent to which the EU's Carbon Border Adjustment Mechanism (CBAM) can curb carbon leakage. It evaluates policy effectiveness and considers the interaction between international trade and climate policy. Specific met…
Cheng Zhang, Yutong Lu
This paper analyzes the legal application of GHG emission pricing mechanisms to international shipping, highlighting challenges such as EU-ETS extraterritoriality, double regulation with the IMO's Net-Zero Framework, and difficulties in det…
Jialiang Sun, Guoqiang Gao, Junhao Liang +4
This study develops a day-ahead MILP model for an electricity-hydrogen-heat integrated energy system in a highway service area under a stepped carbon trading mechanism. Introducing waste-heat-rejection flexibility reduces operating cost by …
Xiaolong Lu, Hao Li, Yuelan Cheng +3
This study uses a structural quantitative trade model to analyze the impact of the EU CBAM on trade and welfare in developing countries. It finds significant negative effects on exports of steel, fertilizer, cement, and aluminum from BRICS …
Bekdaulet, Abzhamiev
This paper proposes an integrated framework coupling SAGD energy efficiency with carbon pricing dynamics to assess heavy oil lifting costs under ESG regimes. Using VECM cointegration, it confirms long-run equilibrium between natural gas and…
Tang A.Q.
This systematic review synthesizes quantitative methods for assessing the design and potential effectiveness of Vietnam's emissions trading system (ETS). It compares modeling approaches and data requirements, offering evidence to help polic…
Thi Anh Tuyet Nguyen, Thi Anh Tuyet Nguyen, Thi-Hong-Diep Pham +6
This study assesses the readiness of Vietnamese SMEs to participate in the voluntary carbon market (VCM) using AHP and TOPSIS. It analyzes five readiness dimensions (knowledge, financial, institutional, managerial, technological) and finds …
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…
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