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 1321–1340 of 1706 papers
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.…
Yang Guozhong, W W Jiang
This study analyzes how China's carbon trading policies influence corporate green dual innovation (green technology and management innovation), and examines the moderating role of environmental judicial specialization. It highlights the imp…
Wenya Zhang
This dataset package contains firm-level data and R scripts to replicate the study on heterogeneous effects of China's carbon emissions trading scheme on environmental-economic performance of high-carbon listed firms. It enables verificatio…
Xiao Zhang, Huayong Zhang, Xinru Tian
This study examines whether China's carbon emission trading policy enhances carbon sinks in Chinese cities. Comparing policy-implemented and non-implemented cities, it finds evidence that the policy promotes carbon sequestration.
M. Fatih Saltuk
This paper assesses the impacts of the EU Carbon Border Adjustment Mechanism (CBAM) on Turkey's cement sector and examines investment pathways for decarbonization. It analyzes how the sector can maintain competitiveness under carbon pricing…
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