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.
Showing 161–180 of 209 papers
Zhang G.
This paper empirically examines the impact of carbon emission trading (ETS) on market structure in China, focusing on whether ETS inhibits or promotes market concentration and competition. Findings provide evidence on the market-level conse…
Fujimori S.
This paper analyzes the extent to which international emissions trading can contribute to achieving the objectives of the Paris Agreement. It examines the effectiveness and challenges of market mechanisms, offering policy implications.
Khabbazan M.M.
This paper uses a CGE model with parallel emission trading systems to evaluate the economic impacts of increased flexibility in the EU ETS. It quantifies the welfare effects on the EU from such flexibility expansion.
Gulbrandsen L.H.
This paper analyzes the political and economic pressures on carbon pricing mechanisms and their resulting market fragility. It examines the implications for sustainability and emission reduction effectiveness, suggesting the need for policy…
Sabyrbekov R.
This paper analyzes which non-EU countries are likely to support the EU's Carbon Border Adjustment Mechanism (CBAM). It likely considers factors such as economic size, emission levels, and trade relationships to predict support.
Szulecki K.
The EU's CBAM imposes a carbon price on imports, linking climate policy with trade. This paper analyzes governance challenges of CBAM as a de facto climate club.
Chen Y.T.
This paper analyzes the impacts of the EU's Carbon Border Adjustment Mechanism (CBAM) on corporate strategies, examining policy interactions and strategic pathways. It evaluates how CBAM affects firms' carbon costs and competitiveness, and …
Johnson C.
This paper analyzes the impact of the EU Emissions Trading System (ETS) and Carbon Border Adjustment Mechanism (CBAM) on steel markets, exploring the emergence and development potential of green steel markets. It provides insights on how EU…
Isah K.O.
This paper examines whether speculative trading influences carbon price formation in the EU Emissions Trading System (EU ETS). It analyzes how speculation affects price discovery efficiency and market stability, offering policy implications…
Varnavskii V.G.
This paper examines the monetization of emissions reductions in the EU under the Carbon Border Adjustment Mechanism (CBAM), analyzing carbon credits and financial mechanisms to support decarbonization. It highlights the interplay between CB…
Kreiser L.
This paper reviews carbon pricing designs (carbon taxes and emissions trading systems), synthesizes experiences from early adopters, and discusses key issues such as price levels, competitiveness, and distributional effects. It offers a bal…
Sun C.
This paper uses evolutionary game theory to analyze how carbon tax and emissions trading impact wind power adoption in China. It models the strategic interactions among power enterprises under different policy scenarios, providing insights …
Al-Abdulqader K.S.
This paper empirically analyzes the impact of carbon pricing policies on emission reductions using a global sample. It statistically tests policy effectiveness and suggests that carbon pricing leads to significant emission reductions.
Chenbo Xing
This study analyzes how Chinese steel exporters respond to anticipated EU CBAM using product-level data and a difference-in-differences approach. It finds that during the transition period, prices serve as the primary channel for carbon cos…
Najlaa Alshatri, Safa Ghannam, Farookh Khadeer Hussain
This study develops multi-factor prediction models for short-term carbon credit price forecasting, integrating 22 external factors. Using random forest and SHAP for key factor identification, and combining ICA with SVR, the best model achie…
Yinghui Chen, Weiqing Wang, Xiaozhu Li +2
This paper proposes a novel scheduling framework for integrated energy systems that combines data-driven scenario generation with multi-objective distributionally robust optimization. It uses LSTM-AE and K-Means clustering to generate typic…
Mingyao Huang, Meiheriayi Mutailipu, Peng Wang +3
This study presents an integrated energy system (IES) with hydrogen refinement and tiered carbon trading, using distributionally robust optimization with kernel density estimation to handle uncertainties. Results show that combining CCUS wi…
Huan Wu
This study examines the dual carbon pressures from China's Emissions Trading System (ETS) and the EU's Carbon Border Adjustment Mechanism (CBAM) on the cement and aluminum sectors. It analyzes impacts on operating costs, competitiveness, an…
Z. Gao
This study proposes a hybrid deep learning model integrating LSTM, GCN, and multi-head attention for dynamic carbon pricing optimization in green transportation supply chains. It improves prediction accuracy by 23.7% and cost optimization b…
M. Luomi, Sarah Wahbah
This paper analyzes design choices in emissions trading schemes (ETS) using data from 38 operational systems worldwide. It covers key elements such as scope, cap setting, allocation, and price management, offering best-practice insights for…
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