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 41–60 of 2234 papers
Dheera K R, Amaljith A Y, Minimol M C
Using 2000-2020 panel data from carbon tax-adopting countries, this study tests how ESG scores, carbon taxation, and emissions affect temperature change. Higher ESG performance and effective carbon taxes are significantly linked to reduced …
Guangcheng Ma, Liming Ge, Xiangjie Xie
This study evaluates how China's emissions trading scheme (ETS) affects integrated carbon and pollution reduction across the full process. ETS adoption lowers carbon intensity, industrial SO2 intensity, PM2.5, and wastewater discharge while…
Xu S.
This paper examines uniform versus differentiated carbon tax designs applied to digital-intelligent authorized remanufacturing. It likely models how carbon pricing shapes remanufacturing incentives and circular-economy outcomes. It sits at …
Y. Ahn, Hyeon Jin Lee, Inha Oh
This study uses a CGE model to assess K-ETS design options for Korea's 2030 NDC, focusing on higher auctioning and regulating indirect emissions. Raising auction share boosts GDP and welfare when revenue recycles via labor tax cuts, especia…
Shuxin Zhang, Hong-Dian Jiang, Songyang Yan +3
This study uses a dynamic CGE model with a carbon market module to assess how intertemporal trading (banking/borrowing) affects carbon markets under different designs. Comparing scenarios on caps, sectoral coverage, allocation, and intertem…
Guo D.
This study examines how the EU's Carbon Border Adjustment Mechanism (CBAM) affects China's mining industry and offers policy recommendations. It considers export cost increases and competitiveness shifts, outlining China's policy responses.…
E. Mahpudin, Yuniar Rahmatiar, Muhamad Abas
A normative legal literature review on Indonesia's carbon tax framework. Although Law No. 7/2021 (Art. 13) mandates a carbon tax, implementation remains postponed. The study argues that improved regulation is needed so the tax drives behavi…
Pei-Zhe Yi, Yan-Jie Li, Peng Ma +2
This paper models strategic bidding by generation companies in a coupled electricity-carbon market using a non-cooperative game. Each firm maximizes profit under capacity, emission, and market-clearing constraints, converging to equilibrium…
Bing-Lin Yang, Ming Yang, Pei-Heng Qi +3
This paper builds a multi-agent Stackelberg game model for integrated energy systems, coupling a price-carbon dual-incentive demand response with a reward-penalty stepped carbon trading mechanism. An adaptive differential evolution algorith…
Matthias Burgert, Matthieu Darracq Pariès, Luigi Durand +7
This paper compares multi-sector environmental macroeconomic models to assess how carbon-intensive energy price changes challenge monetary policy. It evaluates temporary and permanent energy price increases for the euro area and the US, fin…
Shreyas Kondapuram, Jiasun Li
This paper nests a fossil-generation carbon tax and a renewable-only dispatch cap in one equilibrium model calibrated to the Cipher–Luminant PPA (200–210 MW, ERCOT). It shows the renewable-only contract achieves identical zero-carbon comput…
Erno Miettinen
Examines how airlines embed internal carbon pricing (ICP) into investment and operational decisions. It frames ICP as a tool to integrate decarbonization priorities and carbon risk into corporate decision-making. No abstract available, so e…
Yonghui Li
Replication package for a study estimating the causal effect of China's carbon emissions trading scheme on high-quality agricultural development, using double machine learning and staggered adoption designs. It provides a 2007–2020 balanced…
Ishant Tomar, Aditya Jain
As the EU's CBAM enters its definitive phase, its normative reach extends into maritime supply chains, interacting with the EU ETS extension to shipping and the stalled IMO Net-Zero Framework. This article analyzes three intersections: embe…
Perdana, Sigit, Vielle, Marc, Hsuan-Chen, Fang
This replication dataset supports a study of economic trajectories across 242 European NUTS-2 regions under progressively tightening carbon pricing over 2030-2050. It includes regional economic impacts, trajectory classifications, sectoral …
Denny, Danielle Mendes Thame
This article analyzes how the EU's CBAM and Brazil's emerging ETS (SBCE) reshape costs, competitiveness and finance access for Brazilian industry. It highlights embedded emissions, MRV, traceability and certification for market access, earl…
Yuying Yue, Yu Qiang Lin, H. Y. Xing +2
This paper applies a hybrid deep learning model to forecast EU ETS carbon prices across multiple time scales, validated across different trading phases. Improved carbon price forecasting directly supports corporate carbon cost management an…
Xinran Fang, Chaobo Zhou, Tuygunoy Mamadjanova
Surveying 283 managers at Chinese ETS-covered manufacturing and energy firms, this study shows CSR, circular economy practices and green investment improve green firm performance, with eco-innovation as a partial mediator. Carbon trading re…
Wei Li
This study forecasts carbon emissions trading prices using four factors: stock market, exchange rate, international energy commodity prices, and international carbon prices. LASSO confirms all factors matter; among RF, XGBoost, BP neural ne…
Nicole Nimlos, Christopher Bastian, John Derek Scasta
Survey of 504 ranchers across 10 Great Plains and Front Range states (Jan 2024) on willingness to join grassland carbon markets. 55% expressed interest; top barriers were long-term contract concerns, payment levels, and conservation easemen…
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