This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 301–320 of 382 papers
Zhenfeng Guo, Fathin Faizah Said, SF Low
This paper empirically examines the impact of carbon trading on intra-firm income inequality, suggesting that climate policies may inadvertently exacerbate social inequalities and highlighting the need for equitable policy design.
Eva Guinane, Shifa Gumuruh, T. Tran +2
This paper examines market-based policy interventions to improve the economic viability of e-fuels for decarbonizing aviation and shipping. It analyzes the impact of carbon pricing and subsidies on e-fuel cost competitiveness and proposes e…
Grayson Badgley, Freya Chay
This study evaluates the financial additionality of 74 pig manure offset projects in China, finding that 31% of anticipated credits (5.95 million tons) are likely non-additional because they ignore revenues from energy generation. The analy…
Jean-Marie Grether, Marion Monney
This paper provides an accessible introduction to the economic rationale for carbon pricing, including carbon taxes and cap-and-trade systems. It explains how climate change is a market failure due to the absence of a price on emissions, an…
Natalie Crisci, Md Deluair Hossen, Andrew Muhammad +1
This study conducts a cost-benefit analysis of the EU CBAM specifically for fertilizer trade. It finds that under baseline assumptions the economic cost ($4.04B) exceeds the environmental benefit ($2.58B) annually, but sensitivity analysis …
Qinghao Zheng
This study proposes an intelligent computing system for dynamic regulation of carbon emission rights markets using deep reinforcement learning (DRL). It integrates monitoring, prediction, and optimization models, creating a closed-loop 'mon…
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…
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…
Pierre Coster, Julian di Giovanni, Isabelle Méjean
The EU will implement the Carbon Border Adjustment Mechanism (CBAM) by 2026, imposing a carbon tariff on imports to prevent carbon leakage from the EU ETS. This analysis quantifies how the ETS and CBAM affect firms' supply choices, domestic…
Jun Zhu, Jiazhuo Xie
This paper examines the impact of China's carbon emission trading system (ETS) on urban green development, focusing on the mediating roles of green technology and green finance. Empirical findings suggest that ETS promotes green development…
Xueting Zhao, Peng Jia, Ruibin Si +1
This paper proposes a differentiated carbon pricing mechanism for crude oil shipping, aiming to balance efficiency in emission reductions with equity across countries and regions. It analyzes incentive design for shippers and carriers, and …
Chen Ling, Yue Li, Fangyuan Xu
This study examines the impact of China's carbon emissions trading scheme (ETS) on corporate greenwashing using panel data of A-share listed firms from 2012 to 2022. The implementation of the ETS significantly curbs greenwashing, with stron…
(著者不明)
This study analyzes the impact of GHG emissions and their disclosure on firm value, ROA, and ROE using a sample of 2,315 EU ETS firms from 2015-2024. Regression results show that GHG emissions and disclosure significantly affect firm value …
R. Tripathi, A. N. Nayak, A. K. Gouda +3
This review paper comprehensively examines opportunities and challenges for decarbonization from agriculture through voluntary carbon markets worldwide. It highlights issues of carbon credit supply, quality assurance, and market mechanisms,…
Jihun Paek, Brian H. S. Kim
This paper finds that CBAM certificates offer a one-week price predictability window over EUAs, allowing foreign importers to strategically time purchases. Monte Carlo simulation shows an average 4.36% cost advantage, which increases during…
Tomasz Wolowieс, Oksana Liashenko, Kostiantyn Pavlov +4
This study applies Hansen threshold regression to EU ETS carbon prices and renewable energy consumption (2005-2024), identifying a significant threshold at €20.71/tCO2. Below this, carbon prices have no positive effect on renewables; above …
null Weiliang Wang, null Lea Richard
This study uses a NARDL model to examine asymmetric impacts of EU ETS carbon price fluctuations on new energy vehicle (NEV) supply chain resilience. It finds that carbon price hikes reduce resilience through increased costs and raw material…
null Dr. Pritish Chandra Vaish
This study analyzes the impact of carbon pricing on industrial competitiveness using panel data from 42 countries (2000-2023). It finds that carbon pricing does not significantly harm overall competitiveness; moderate levels (below USD 50/t…
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