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 541–560 of 576 papers
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…
Murat Yıldız, Abdurrahim Akgundogdu, Güldem Elmas
This study develops a distribution-free causal forecasting framework for voyage-level CO2 intensity, using 1440 real-world voyages on four Nigerian coastal routes. A physics-informed LightGBM model with leave-one-route-out protocol predicts…
O. Olawore, Y. Kuti, Kazeem O. Oyerinde +7
Through a systematic review of literature from 2007-2024, this paper analyzes the effects of carbon taxes and emissions trading systems on GHG reduction, technological innovation, and structural change. It examines challenges such as distri…
Mariusz Pyra
This paper analyzes the long-run co-evolution of carbon pricing mechanisms, emissions coverage, and revenues using annual global time-series data (1990-2024). It finds a robust positive correlation between the number of mechanisms and cover…
Rui Tang, Dingyao Yu, Yanping Li +5
This study conducts an ex-post analysis of carbon pricing's emission reduction effects and mechanisms using international data. Results show that carbon pricing significantly reduces emissions, with higher prices leading to greater reductio…
Shafiq Tumusiime, Yongjun Li
This study analyzes how China's carbon emissions trading system (ETS) drives eco-efficiency in coal-fired power generation, revealing mechanisms for a low-carbon energy transition.
Sindhu P.J
This study compares carbon pricing mechanisms (ETS and carbon taxes) across 47 jurisdictions from 2015-2025 using synthetic control and difference-in-differences. ETS achieve larger emission reductions (9.7% vs. 6.4%) but with higher price …
A. Varkey, Eby Johny
This book covers carbon pricing (carbon tax, ETS), carbon accounting (Scope 1,2,3), and net zero targets, analyzing recent energy crises and geopolitics from micro and macroeconomic foundations. It is a textbook style resource for students …
Jakob Skovgaard, Åsa Knaggård, Roger Hildingsson +1
This paper compares carbon tax adoption in Sweden and Mexico, finding that despite different contexts, similar factors such as ideational change and fiscal reform windows enabled adoption. It highlights the importance of coalition-building …
Anastasiya Ostrovnaya, Jan Ahrens, Julian Smart +2
This paper analyzes the effects of carbon pricing on firms' financial profiles, focusing on cash flows and margins of steel and cement firms under various scenarios. The key determinant is carbon cost pass-through ability, and capital marke…
Mingyu Liang, Yiling Zuo
This paper studies the Chinese national carbon market from 2021 to 2025 using OLS regression with variables including policy, EUA prices, GDP, HS300, coal prices, and international oil prices. Findings show that policies and energy prices a…
Thomas Sterner, Dallas Burtraw, Jos Delbeke +3
This paper reviews 20 years of the EU Emissions Trading System (EU ETS), the world's largest carbon market. It highlights how the system evolved from initial price collapse to effective emission reductions through the Market Stability Reser…
Ф. Чэнь
This paper positions carbon pricing as a crucial tool for cross-border carbon regulation and the green transformation of the global economy. It likely discusses mechanisms for international carbon price adjustment and the need for policy ha…
Emil Dimanchev
This paper argues that for European climate policy to be effective, a carbon price on imports is essential. It emphasizes the importance of border carbon adjustments like CBAM to prevent carbon leakage and maintain competitiveness. It exami…
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