GX & Decarbonization Research

Yanhong Luo, Yuqing Yang, Bowen Zhou +2

This study proposes a cooperative operation framework for multiple integrated energy systems (MIES), modeling electricity-carbon P2P trading via Nash bargaining and handling uncertainties with robust optimization and chance-constrained prog…

Zhanpeng Xu, Zhehan Li, Longze Wang +6

This paper proposes a quantum-enhanced evaluation framework for hybrid wind-PV systems under carbon emission trading (CET). It integrates quantum particle swarm optimization (QPSO) with TOPSIS to handle uncertainty from evolving CET policie…

Kaho Yu, Yunheng Zhou, Xinchuchu Gao

This paper examines how Article 6 of the Paris Agreement shapes carbon markets in ASEAN and its implications for regional energy connectivity and transition. It analyzes how Article 6 provides a high-integrity framework to address instituti…

Gülçin Kazan, Tuğçe Uzun Kocamış

This paper qualitatively analyzes sustainable tax policies in Türkiye's energy sector. It examines reports of 10 companies listed in the BIST Sustainability Index and public documents, identifying themes: border carbon adjustment, carbon ta…

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…

Yen-Lien Kuo, Wensong Wu, Daigee Shaw +5

This experimental study shows that introducing imaginary future generations (IFGs) significantly increases the probability of choosing carbon tax schemes by 11%. A survey in Taiwan found that a carbon tax bundled with reduced VAT and lump-s…

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…

Daramola Joseph Omoyele

The UK's net-zero target relies on carbon pricing, but ETS-covered sectors have reduced emissions while non-ETS sectors (75% of emissions) lag. This paper shows that effective carbon prices in transport, buildings, and small businesses are …

B. Lu, Xueye Liu, Jialin Hong +4

This study develops a process-level accounting framework to quantify the long-term impact of the EU's CBAM on China's steel industry. Certificate costs are estimated at 0.29–12.3 billion CNY by 2050, with EU ETS price as the main driver. Lo…

Pierdomenico Duttilo, Francesco Lisi

This paper examines the pass-through of EU ETS carbon costs to Italian wholesale electricity prices from 2016 to 2024. Using daily data and regression with autoregressive dynamics, it finds that carbon costs are positively transmitted but i…

Ms. K. Dharani, Dr. R S Ch Murthy Chodisetty

This study conceptually examines how carbon markets (ETS, carbon pricing, offsets) enhance sustainable finance effectiveness. It analyzes moderating roles of GDP per capita and political stability, emphasizing strong policy frameworks and t…

Ohn Zin Lin, Dagmar Juchelková, Libor Štěpanec +2

This paper analyzes fragmented regulations, limited green finance access, and underdeveloped carbon markets in ASEAN. Through comparative policy analysis of global best practices (EU ETS, CBAM, green bond standards) and case studies from In…

Weijie Liu

This paper constructs an ensemble learning prediction framework using LightGBM, XGBoost, and CatBoost to predict carbon emission trading prices for listed manufacturing enterprises in China. Using SHAP for model interpretability, it finds t…

Chensheng Lv

This study uses a DID model to analyze China's regional carbon trading pilots' impact on corporate ESG performance. Results show that the carbon emission trading mechanism significantly improves ESG ratings through a composite mechanism of …

Haiyan Lan, Guoshuai Sun, Jiao Feng +1

This study develops a dynamic duopoly game model of renewable and thermal power producers under carbon trading and green certificate schemes. Using nonlinear dynamic methods, it finds that very low renewable costs can destabilize the system…

Jung-Mi Lim, Seongjun Lee, Taeyoung Jin +1

This paper analyzes the impact of changes in allocation and price in the emission trading scheme (ETS) on the electricity market, using a Korean case study. It examines how carbon price fluctuations affect electricity prices and generation …

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…