GX & Decarbonization Research

FEDERICO APICELLA, ANDREA FABIANI

This paper shows that carbon pricing and bank credit complement each other in reducing firms' carbon emission intensity. Using a reform-driven carbon price increase in the EU ETS and Italian credit registry data, it finds that highly expose…

Yun Liu, Fangxuan Pei, Ziyu Chen +2

This paper proposes a privacy-preserving joint carbon reduction and emission allowance trading (JCREAT) scheme that integrates secure multi-party computation (SMPC) with primal-dual gradient algorithm to address data security and inflexible…

Liangliang SUN, Xingguo Tan, Chaomeng LI

This paper proposes an ordered charging scheduling strategy for electric vehicles (EVs) to improve wind power accommodation. It establishes a charging load model, develops a TOU price strategy based on wind power output, and incorporates ca…

Zhitong Chen, Haipeng Nan, Fuqi Ma +4

This paper proposes a bi-level optimization model incorporating adaptive carbon price and low-carbon demand response to achieve low-carbon dispatch of integrated energy systems. It balances emission reduction and economic efficiency, valida…

Priyaranjan Jha, Advitha Arun

This paper analyzes the impact of the Carbon Border Adjustment Mechanism (CBAM) on trade and development in the Global South. It discusses potential trade frictions, effects on industrial competitiveness in developing countries, and implica…

Y J Li, Guo‐Fu Li, Sarah Cooper +2

This study analyzes the co-evolution of AI-driven carbon emission monitoring and dynamic carbon trading mechanisms, examining how heterogeneous policy combinations affect system efficiency and emission reduction outcomes. It suggests AI int…

Ju Qiu, Zong-Hong Cao, Feng Yu +2

This paper examines energy performance contracting (EPC) selection and carbon emission decisions in a supply chain under cap-and-trade regulation. A supplier can provide EPC to a manufacturer to enable low-carbon production. Results show th…

Kwakye, Ampong Dominic, Švadlenka, Libor, Molkova, Tatiana +1

This study proposes and evaluates an urban logistics system combining rail transport with low-emission last-mile delivery modes (electric vehicles, cargo bikes, crowdshipping). Using operational simulation and break-even analysis, it finds …

Xiaohang Ren, Zihui Sima, Farhad Taghizadeh‐Hesary +1

This paper proposes a CNN model using EUA chart images to predict carbon price trends. It converts price and volume data into pixel images for next-day and n-day cumulative predictions. The model outperforms traditional machine learning mod…

Jun Ning, Shoujuan Tang, Yuheng Sun +4

This study evaluates the CO2 mitigation potential and abatement costs of circular economy (CE) measures in China's textile industry (2023-2030). The total mitigation potential is 57.70 Mt CO2/year, accounting for 18.79% of 2023 emissions. L…

Yan Zhang, Jingyu Zhang

This paper develops a valuation framework for forest-based carbon collateral, combining carbon price forecasting from thin CCER trading data with option valuation and a lender-oriented pledge rate equation. Applied to a case in Yunnan, Chin…

Ruoxi Huang, Yong Liu, Shiwang Yu

This study uses PSM-DID on 2009-2021 data from Chinese A-share listed construction enterprises to assess the impact of China's Carbon Emission Trading System (CETS) on ESG performance. Findings show CETS significantly improves ESG performan…

Yian Cui, Ronald Huisman, Kees Koedijk

This study analyzes how severe weather events affect tail risk in Chinese regional carbon markets. It finds that markets in Beijing, Shenzhen, and Tianjin exhibit higher tail risk due to low liquidity and slow reforms, and that heatwaves ha…

Brian R. Copeland

This paper analyzes the design and implications of border carbon taxes on international trade and climate policy. It evaluates competitiveness effects on exporting industries and carbon leakage prevention, discussing implementation challeng…

Jun Long, Meilan Yuan, Lue Li

This study proposes a novel multi-objective ensemble carbon price forecasting system based on point-interval-valued modeling. By integrating multiple forecast models and providing both point and interval predictions, the system addresses ca…

Andrea Flori

This paper analyzes financial interdependencies between the EU ETS carbon market and energy commodities (oil, gas, electricity). It quantifies price spillovers and risk linkages, revealing how carbon prices influence energy prices. Findings…

Jinjie Ma

This paper proposes a distributed master-slave game optimization model for microgrid clusters in the coupled electricity and carbon market. The model minimizes cost and carbon emissions under multiple constraints. Simulation results show im…

Lei Hu, Xiping Liu, Yu Shen +2

This paper examines the impact of China's carbon emissions trading pilot (CETP) on urban-rural income inequality using a multi-period difference-in-differences model with city-level panel data (2004-2024). The CETP significantly reduces the…

Liam Welsh, Udit Grover, Sebastian Jaimungal

This paper proposes a multi-agent reinforcement learning model to optimize trading strategies in greenhouse gas offset credit markets. It simulates interactions among market participants and analyzes carbon price formation and credit distri…

Lionel Fontagné, Stephen N. Karingi, Simon Mevel +2

This study uses a dynamic general equilibrium model to assess the economic and environmental impacts of implementing the African Continental Free Trade Area (AfCFTA) Agreement alongside climate policies such as NDCs and carbon price floors.…