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 1581–1600 of 2209 papers
Yu X.
This paper examines the causal effect of China's carbon emissions trading policy on corporate ESG performance. Using firm-level data, it finds that the policy positively impacts ESG scores, providing empirical evidence for the co-benefits o…
Haites E.
This paper analyzes the contribution of carbon pricing to achieving mid-century net zero targets. It evaluates the effectiveness of carbon taxes and emissions trading schemes, providing insights for policy design.
Lin B.
This paper analyzes the dynamics of green electricity systems under the Carbon Border Adjustment Mechanism (CBAM). It models how CBAM affects renewable energy adoption and power market structure, providing quantitative assessment. The findi…
Zerka A.
This paper proposes a comprehensive approach for voluntary carbon trading among microgrids, aiming to facilitate carbon credit utilization within local energy systems to achieve net-zero targets.
Yuhao Ba, Joelle Fong, Yiyun Xia
This study examines how fairness perceptions influence resistance to carbon taxes in ageing societies. It analyzes factors affecting policy acceptance from a just transition perspective, suggesting that perceived fairness among elderly popu…
Mari Luomi, Axel Michaelowa
This paper provides the first analysis of how Gulf Cooperation Council (GCC) countries can engage in Article 6 carbon markets, using internationally transferred mitigation outcomes (ITMOs) to manage residual emissions and support hard-to-ab…
Haichao Yang
This study formulates a corporate abatement decision problem under carbon price uncertainty as a stochastic control model, modeling carbon price as geometric Brownian motion and abatement capacity as depreciating over time. Results show tha…
Ayomikun David Ajayi, Wiyao Banakinaou, Tadao Aoda +1
This study simulates soil organic carbon (SOC) dynamics over 20 years for three farming systems in Niigata, Japan, under two climate pathways. It translates SOC changes into net present value (NPV) under carbon tax, subsidy, and cap-and-tra…
Yanjie Ou, Luqi Wang, Fengyi Zheng +1
This study examines how carbon price shocks affect construction activity in China using monthly data from January 2014 to October 2025. Applying additive Bayesian networks and time-varying SVAR, it finds that carbon price shocks mainly depr…
Hrishikesh Upadhyaya, Moirangthem Momocha Singh
This systematic review analyzes the implementation challenges and opportunities of India's Carbon Credit Trading Scheme (CCTS). Key challenges include regulatory uncertainty, inadequate market structure, MRV errors, and industry unpreparedn…
Yiyang Chen, Rogemar Mamon, Fabio Spagnolo +2
This paper analyzes EUA spot-price dynamics using four stochastic processes and their hidden Markov model extensions. Regime switching enhances jump-diffusion accuracy, improving multi-horizon forecasting, density calibration, and hedging p…
Clora F.
This paper analyzes alternative carbon border adjustment mechanisms in the EU, examining international responses and within-coalition results. It quantitatively assesses the trade and emission impacts of different CBAM designs, offering ins…
Maestre-Andrés S.
This review synthesizes literature on the perceived fairness and public acceptability of carbon pricing. It identifies key factors influencing acceptance, including distributional effects, procedural justice, and institutional trust.
Lei Qiu, Jiao Peng
This paper proposes a novel Dual-Path Interactive Attention Network (DPIANet) for carbon price forecasting. It addresses limitations of traditional decomposition-ensemble models by jointly capturing temporal and inter-feature dependencies a…
Marques Alves Aguiar, Gabriela
This replication package provides cleaned data and R code to examine whether stronger carbon-pricing signals are associated with lower per-capita greenhouse gas emissions in OECD countries from 2015 to 2023. Using a fixed-effects panel, the…
Zang J.
This study empirically analyzes the spillover effect of the EU Emission Trading Scheme (EU ETS) on industrial structure upgrading using a PSM-DID approach. Results show that EU ETS not only reduces emissions but also promotes green industri…
Hasanov F.J.
This study evaluates hypothetical carbon pricing in Saudi Arabia using a macroeconometric model. It analyzes impacts on economic growth and emissions reduction, offering insights for policy design.
Liu X.
This paper likely highlights the potential risks and negative aspects of carbon emission trading, discussing pitfalls in market design and unintended consequences.
Shen L.
This paper empirically analyzes the impact of carbon emission trading systems on firm-level innovation and cross-region pollution. It suggests that while ETS promotes technological innovation, it may also lead to pollution shifting across r…
Obane H.
Decomposes system-level costs in marginal abatement cost formation under Japan's carbon neutrality goal. Provides insights into cost structure, aiding efficient emission reduction policy design.
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