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 1261–1280 of 1830 papers
Mu Y.
This paper examines the spatial spillover effects of China's carbon emission trading (ETS) policy on forest carbon sink growth. Using spatial econometric models, it reveals that the ETS policy not only has direct effects but also influences…
Zhao H.
This paper proposes integrating voluntary carbon offsets into the EU Carbon Border Adjustment Mechanism (CBAM) through multi-objective optimization of REDD+ funds. It aims to maximize forest conservation and emission reduction effects while…
Lin B.Q.
This paper analyzes criteria for selecting sectors covered by the EU Carbon Border Adjustment Mechanism (CBAM), considering carbon leakage risk, emissions, and trade impacts. It provides a framework for sector inclusion, offering policy rec…
Lin B.
Assesses the value of flexible power generation investments in China's emission trading system, highlighting the interaction between carbon pricing and power sector investment decisions.
Fang J.
This paper uses a CGE model to simulate the policy effects of carbon market and green certificate market. It quantitatively evaluates the interaction between the two markets and their economic impact, providing insights for policy design.
Yan L.
This paper analyzes the long-term impacts of the EU's Carbon Border Adjustment Mechanism (CBAM) on China's power supply-demand balance and CO2 emission reductions using a computable general equilibrium (CGE) model. The findings indicate tha…
Xinyi Chen
Using panel data from 30 Chinese provinces (2010–2021), this study empirically examines how carbon finance drives industrial green transformation and upgrading. It finds that carbon finance significantly enhances green total factor producti…
Bandar Y. Alfaifi, Ammar Alsinai, Hanan Ahmed +2
This paper proposes a distributed event-based control architecture for secure and low-carbon smart grid operation under cyberattacks (FDI and DoS). It integrates carbon emission trading into local cost functions, uses trust-node correction …
Yudan Xu, Hong Wu
Using panel data from 274 Chinese cities, this study employs a difference-in-differences model to assess the synergistic effect of carbon trading and green credit interest subsidies on regional carbon emissions. Results show that policy syn…
S. Nandhakumar, Laxmi Balaganoormath, Sushma C. Meti +2
This review outlines India's carbon credit trading framework, including REC, PAT, and CCTS policies that have driven industrial decarbonization, while highlighting the limited participation of the agricultural sector. Conservation agricultu…
Tran Van Mong
This paper analyzes the legal framework for carbon credit trading on the Voluntary Carbon Market (VCM) in Vietnam in the context of achieving net zero emissions by 2050. It identifies shortcomings in legal definitions, ownership rights, MRV…
Bingyan Fan, Yuan Xue, Mingyue Dai +2
This study compares four models (ARIMAX, CNN, GRU, Transformer) for carbon price prediction across five Chinese pilot markets. LASSO identifies key factors, and hybrid models SVR-ARIMAX and GA-GRU improve accuracy. Forecasts show Shenzhen h…
Kumarasiri J.
This paper analyzes corporate perceptions, responses, and motivations regarding the Australian carbon tax. It examines how companies adapted to the tax and its impact on emission reduction and reporting, offering insights for carbon pricing…
Chen T.
This paper empirically examines how China's carbon emissions trading pilot policies affect firms' digital innovation capabilities. It reveals mechanisms through which carbon pricing drives technological change, offering evidence that market…
Liu Z.
This study examines optimal flexible power deployment strategies in China under the emission trading system. It analyzes how ETS price signals affect investment in power system flexibility, providing policy insights for low-carbon transitio…
Böcskei E.
This paper examines the relationship between corporate sustainability reporting and emissions trading systems, with a focus on energy-intensive sectors. It analyzes how emissions trading influences disclosure practices and the interplay bet…
Chen S.
Proposes a carbon trading optimization system combining blockchain oracles and reinforcement learning. It learns trading strategies in dynamic carbon markets, enabling efficient allowance trading. Features blockchain transparency and reliab…
Yang Y.
This paper analyzes carbon price volatility in the New Zealand Emission Trading Scheme (NZ ETS). It examines the drivers of price fluctuations and their impact on the carbon market, offering insights for policy refinement.
Wu J.
This paper analyzes the impact of carbon emissions trading systems (ETS) on decarbonization in resource-dependent cities. It explores the interaction between ETS and the unique industrial structure of resource-based cities, evaluating emiss…
Shen L.
This study uses Interpretive Structural Modeling to identify and analyze factors influencing ETS implementation in China's building sector, revealing hierarchical relationships among key drivers and barriers.
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