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 1–20 of 816 papers
Rui Liu, Chaoyong Qin
This paper proposes a scale-aware dynamic fusion method that integrates textual and numerical information to improve carbon price forecasting in Chinese emissions trading markets. The method accounts for different data scales and demonstrat…
Shihao Liu, Yuping Huang, Guotian Cai +3
This paper proposes a two-stage low-carbon operation framework for prosumer-aggregated integrated energy systems, incorporating dynamic carbon and energy pricing to balance emission reduction and cost efficiency.
Ziyan Pang
This paper uses CiteSpace to visually analyze 536 CNKI papers from 2020-2026 on carbon emissions trading and corporate green investment. The field evolved from macro institutional construction to micro-level response and systematic integrat…
Daxin Dong, Diwei Zheng
This paper empirically analyzes how China's carbon emissions trading system (ETS) reduces industrial solid waste accumulation, demonstrating co-benefits of carbon pricing on waste management. Using Chinese data, it provides evidence for pol…
Li X.
This paper empirically analyzes the impact of China's SO2 emissions trading pilot on firms' cost of equity. It shows that emissions trading reduces firms' cost of equity, mediated by green innovation. Contributes to the linkage between sust…
Yong Xu, Donglei Tao, Yen-Jou Chen +3
PCBS is a framework enabling privacy-preserving carbon trading in AI-empowered IoT environments. By combining blockchain and secure multi-party computation, it achieves confidentiality of emission data while maintaining transaction transpar…
Nikolai Drahos
Despite repeated failures, the US adopted a federal methane fee in the Inflation Reduction Act of 2022. Based on insider interviews, this study identifies four enabling conditions for political feasibility: industry division, effective idea…
Cai L.
This paper analyzes the impact of carbon emission trading policy on energy transition through the lens of natural gas consumption in China, examining policy effectiveness and the role of natural gas as a bridge fuel.
Howie P.
This paper compares the emissions trading schemes (ETS) of Korea and Kazakhstan, evaluating policy success factors. It analyzes institutional design and implementation, deriving conditions for effective ETS. Offers insights for emerging eco…
Xiao Z.
This paper investigates the time-varying spillover effects among China's regional pilot carbon emission trading markets, revealing dynamic interdependencies and providing insights for market integration.
Belausteguigoitia J.C.
This paper examines the political economy of carbon pricing in Mexico, drawing lessons from the carbon tax implementation to inform the design of the upcoming cap-and-trade system. It analyzes institutional challenges and transition barrier…
Timilsina G.R.
This paper provides a comprehensive overview of carbon pricing as a tool for climate change mitigation, discussing the effectiveness and challenges of emissions trading systems and carbon taxes, and offering guidance for policy design.
I. Ismatullah, S. Nursyahputra
This study qualitatively examines environmental accounting, ESG disclosure, and audited financial reporting in high-emission state-owned Indonesian energy enterprises anticipating a carbon tax. It finds that cumulative carbon tax exposure f…
Florian Berg, Marco Ceccarelli, Florian Heeb +3
We analyze pricing in the voluntary carbon market (VCM) using proprietary transaction-level data. Prices range from cents to over $100 per ton CO2. Credits with positive non-carbon externalities command 2-4x prices. Buyer identity explains …
Fu H.
This paper analyzes the impact of carbon emissions trading on distributed energy sharing networks within industrial parks using an equilibrium model. It quantifies cost and emission reductions, offering policy insights.
Fournier Gabela J.G.
This paper examines carbon leakage in the agricultural sector and explores the conditions under which a carbon border adjustment mechanism (CBAM) can effectively mitigate it, considering agricultural specificities.
Zheng L.
This study empirically examines the impact of China's carbon emissions trading scheme (ETS) on total factor carbon emissions performance using city-level data. It finds that the ETS significantly improves carbon productivity, providing evid…
Prabawani B.
This paper globally analyzes the drivers of carbon tax rates, focusing on population, GDP, and energy mix. It provides a foundation for understanding differences in carbon tax policies across countries.
Xiaowang, Shen
This paper applies Kuramoto coupled-oscillator synchronization theory to address rhythm mismatch in global carbon markets. It proposes a 'Seven Luminaires synchronization degree' (σ_SevenLuminaires) as a quantitative metric for temporal gov…
K. Cheng, Haitao Liu, Yu Ji +3
This paper proposes a bi-level collaborative planning strategy for soft open points integrated with energy storage (E-SOP) in distribution networks, considering dynamic electro-carbon factors. The upper level optimizes siting and sizing to …
Browse by Topic