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 101–120 of 359 papers
Shuyang Chen
This paper quantifies the health co-benefits of China's Emissions Trading Scheme (ETS) from reduced PM2.5 and O3 pollution using a Computable General Equilibrium model from 2025 to 2060. It finds that both pollutants negatively impact labor…
Murat Yıldız, Abdurrahim Akgundogdu, Güldem Elmas
This study develops a distribution-free causal forecasting framework for voyage-level CO2 intensity, using 1440 real-world voyages on four Nigerian coastal routes. A physics-informed LightGBM model with leave-one-route-out protocol predicts…
Süleyman Atılgan, M. Alım, R. Çöteli
This paper analyzes the impact of carbon pricing (carbon tax and emissions trading) on energy costs and security in Türkiye. Using the Levelized Unit Cost of Energy (LCOE) method under different carbon price scenarios, it finds that higher …
O. Olawore, Y. Kuti, Kazeem O. Oyerinde +7
Through a systematic review of literature from 2007-2024, this paper analyzes the effects of carbon taxes and emissions trading systems on GHG reduction, technological innovation, and structural change. It examines challenges such as distri…
Hao Li, Yuxiao Lei, Nuo Li +2
This study uses China's pilot ETS as a quasi-natural experiment. Using panel data of 284 Chinese cities from 2003-2017 and a multi-period DID approach, it finds that the ETS effectively reduces total carbon emissions and carbon intensity th…
Yan Zhang
Using a multi-period DID model on Chinese A-share listed firms (2009-2022), this study finds that participation in China's carbon emissions trading scheme significantly improves firms' ESG performance, partially mediated by digital transfor…
Nergis Feride Kaplan Donmez
This study examines the effects of carbon taxes and emissions trading systems (ETS) on CO2 emissions in OECD countries from 2002 to 2023 using panel data analysis. Both instruments are found effective in reducing emissions in the long run b…
Chien‐Chiang Lee, G. Olasehinde-Williams
This paper examines the impact of the EU Emissions Trading System (ETS) on the carbon content of imported goods embedded in domestic final demand within the Eurozone. It provides evidence on carbon leakage and the effectiveness of emissions…
Mariusz Pyra
This paper analyzes the long-run co-evolution of carbon pricing mechanisms, emissions coverage, and revenues using annual global time-series data (1990-2024). It finds a robust positive correlation between the number of mechanisms and cover…
Rui Tang, Dingyao Yu, Yanping Li +5
This study conducts an ex-post analysis of carbon pricing's emission reduction effects and mechanisms using international data. Results show that carbon pricing significantly reduces emissions, with higher prices leading to greater reductio…
Shafiq Tumusiime, Yongjun Li
This study analyzes how China's carbon emissions trading system (ETS) drives eco-efficiency in coal-fired power generation, revealing mechanisms for a low-carbon energy transition.
Xinyang Wei, Liangyu Chen, Yikun Lan +2
This paper analyzes spillover effects of the EU ETS on global equity markets from 2013 to 2021. Using contagion analysis and DCC-GARCH, it finds a positive association between EU carbon allowance prices and stock market performance worldwid…
Chen Lyu, Ke Wang, Bofeng Cai +1
Using a balanced panel of 1,957 thermal power units from 2018 to 2024, this study estimates the causal impacts of compliance pressure under China's national emissions trading scheme (CN ETS) on CO2 emissions. Units with allowance deficits r…
Xiaoqin Lu, Tianfen Yu, Yuanjun Huang +1
This study uses double machine learning to examine the impact of carbon emissions trading schemes (ETS) on corporate debt maturity structure. It finds that ETS may increase firms' reliance on short-term debt, highlighting how climate policy…
Diwei Zheng, Daxin Dong
This study evaluates the impact of China's carbon emissions trading scheme (ETS) on land surface ecological quality (LSEQ) using a difference-in-differences approach on 328 Chinese cities from 2005-2020. The ETS improved LSEQ by 0.0113 on a…
Bingzi Jin, Xiaojie Xu
This study proposes a novel Gaussian process regression (GPR) model optimized via Bayesian framework to forecast carbon prices in China's Emissions Trading Scheme (CHNTS). Using daily settlement data from July 2021 to April 2025, the model …
Sindhu P.J
This study compares carbon pricing mechanisms (ETS and carbon taxes) across 47 jurisdictions from 2015-2025 using synthetic control and difference-in-differences. ETS achieve larger emission reductions (9.7% vs. 6.4%) but with higher price …
Yuehan Fang, Yan Li, Lei Chang +2
This study forecasts carbon prices under scenarios of expanding China's ETS to cover steel and electrolytic aluminum sectors using a VMD-SVR model. Results show market expansion causes short-term price increases but reduces volatility, with…
Fransiskus Nicolas, Chaerul D. Djakman
This paper analyzes the readiness of PT Telkom Indonesia's 2024 Sustainability Report in meeting IFRS S2 climate disclosure requirements. It finds mature alignment in governance and risk management, but significant gaps in strategy and metr…
Dr. Deeksha S.
This paper proposes an institutional framework (Farmer-Corporate Carbon Institutional Model, FCCIM) for transforming farmer-managed agroforestry into verified carbon credits, addressing corporate Scope 3 emissions and smallholder income div…
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