GX & Decarbonization Research

Mengjie Zhao, Shijie Duan, Tianshuai Jiang +2

This paper develops a bidding equilibrium model for the joint electricity-carbon market using multi-agent reinforcement learning. It finds that tightening carbon benchmarks by ~14.21% increases thermal power costs by ~13.83%, and doubling r…

Yangjun Zeng, Hua Geng, Yiwei Qiu +14

This paper proposes a hierarchical carbon-driven incentive mechanism (PCIM) linking carbon and ammonia markets to boost renewable power-to-ammonia (ReP2A) competitiveness. Results show a 12.9% emission reduction with only a 1.8% revenue los…

M. Manguera

This paper analyzes the impact of the EU's Carbon Border Adjustment Mechanism (CBAM) on exports from ASEAN-6 countries. Using a gravity model, it finds that cement and iron/steel sectors are most sensitive to tariff adjustments, with the Ph…

Xiangyan Qian, Hongdian Jiang, Yun-Fei Yao +4

This study analyzes four carbon revenue recycling schemes in China's carbon neutrality path using a dynamic CGE model. Lump-sum transfers to households improve welfare and reduce urban-rural income gaps, while indirect tax cuts minimize GDP…

W. Qiu, Hebin Ruan, Xiaoxiao Yu +3

This study proposes a dual-agent deep reinforcement learning framework for low-carbon economic dispatch in wind-integrated microgrids. A PPO agent minimizes operating costs while a SAC agent targets carbon emission reduction, combined via a…

Shuwei An

This study evaluates the cost-effectiveness of China's Grain for Green Program for carbon neutrality. Using satellite data from 2001-2023, it finds forest area increased significantly and carbon sequestration costs averaged ~11 USD/tCO2, be…

Yang Yu

This paper develops a coupled model of flexibility resources and power market trading in a new power system. It integrates a PSO-LS-SVM price prediction model and a bi-level optimization model incorporating carbon, green certificates, and c…

Lianbiao Cui, Guofeng Song, Mei Duan

This paper proposes a method for allocating carbon emissions to municipalities within China's provincial budget system. It integrates equity, efficiency, and regional preferences, offering insights for carbon budget management policy in Chi…

Lizhen Wu, Haofei Liu, Xiping Ma +1

This paper proposes a low-carbon economic dispatch scheme for virtual power plants (VPPs) by exploiting the temporal and spatial flexibility of data center workloads. It introduces a 'source-load-storage' coordinated scheduling architecture…

Guangsheng Zhang, Ran Yan, Zhaomin Zhang +2

This paper analyzes emission reduction decision-making in a shipping logistics service supply chain under carbon cap-and-trade, focusing on AI technology adoption. It models cost-sharing contracts (one-way and two-way) between service provi…

Zhangrong Pan, Yuexin Wang, Junhong Guo +5

This study develops a system dynamics model for China's carbon, energy use rights, and electricity markets (ternary system). It identifies three key mechanisms: price signal transmission, dual regulatory constraints, and mutual quota recogn…

Debin Fang, Heng Zhou, Pengyu Wang +1

This study optimizes wind-solar-gas-storage integrated energy systems under carbon and green certificate markets. Results show that simultaneous implementation of CET and GCT reduces operating costs by up to 50.2% and carbon emissions by 29…

Kaihua Wang, Yu Han, Bao-chang Xu +1

This study employs rolling-window estimation to analyze dynamic causalities between China's carbon emission price (CEP) and new energy industry (NEI). Results show CEP positively affects NEI during external shocks (e.g., COVID-19) but also …

Joana Žukauskienė, Vytautas Snieška

This study investigates the relationship between carbon tax revenue and GDP in the EU. While existing research focuses on emission reductions or social use of revenues, the impact on GDP remains unclear. This paper reveals the economic cons…

Naufal Firdaus, Atina Husnaqilati

This study compares carbon price linkages with major commodities in Indonesia's nascent IDX Carbon market and the mature EU ETS using correlation analysis, clustering, random matrix theory, and VAR. Results show Indonesia's market is noise-…

Xiaoping Yang, Mengfan Zhang, Yilin Ma +2

This study examines whether China's carbon emissions trading policy (CETP) boosts foreign direct investment (FDI). Using panel data for 260 cities and a difference-in-differences approach, it finds that CETP significantly increases FDI infl…

Pierre Coster, Julian di Giovanni, Isabelle Méjean

This post presents evidence that French firms increased imports of high-emission inputs from outside the EU ETS, undermining the carbon tax's effectiveness and causing carbon leakage. The EU plans to implement a carbon tariff in 2026 to add…

Wei Tai, Qi Wang, Yi Tang +1

This paper proposes an Energy–Carbon–Cyber Collaborative Optimization (ECCO) framework for integrated energy systems that balances economic dispatch, carbon emission constraints, and cybersecurity against false data injection attacks. A bil…

Kai Sun, Xitao Fan

This paper develops a hybrid forecasting model for carbon emission allowance prices using China Carbon Emissions Trading Exchange data from July 2021 to March 2025. It integrates VMD-CEEMDAN decomposition, GARCH-MIDAS, and CNN-BiLSTM-Attent…

Juan Li, Yibo Li, Mei Sun +1

This study uses a multiregional CGE model and the 3E3S framework to analyze the provincial impacts of carbon taxes and emissions trading in China's cement industry. Policies reduce GDP but improve carbon intensity and CCS adoption, while wi…