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 201–220 of 1640 papers
Wang C.
An empirical study evaluating whether China's carbon emission trading scheme actually reduced CO2 emissions, using a Lasso-based synthetic control method. It compares pilot and non-pilot regions to estimate the causal abatement effect of th…
Zha G.
An empirical study examining how the introduction of Emissions Trading Schemes (ETS) affects firms' carbon proactivity and financial performance. It analyzes whether carbon pricing design drives corporate decarbonization behavior and profit…
Teixidó J.
An empirical review of how the EU Emissions Trading System has influenced low-carbon technological change. It assesses the evidence on whether carbon pricing signals actually drive innovation and technology adoption by firms. Provides a fou…
Mintz-Woo K.
This work examines the ethical and normative dimensions of carbon pricing. With no abstract available, its specific arguments and methods are unclear, but it likely addresses fairness, distributive justice, and intergenerational equity in c…
Kołodziej Z.
This paper examines municipal waste incineration plants under the EU ETS, analyzing how carbon pricing shapes emissions and operational decisions in the waste sector. Incineration blends renewable and fossil-derived waste, raising accountin…
Li J.
An empirical study examining how China's carbon emission trading scheme (ETS) affects industrial energy efficiency, focusing on multiple innovation pathways. It likely tests whether carbon price signals improve efficiency through technologi…
Chen J.
A data-driven study applying a Temporal Convolutional Network (TCN) to project future carbon tax levels. It uses machine learning to forecast carbon price trajectories, offering a predictive tool relevant to policy and investment decisions.…
Boeckx J.
A study examining how the EU Emissions Trading Scheme reshapes labor markets and occupational structures, focusing on job profiles and the 'color of the collar.' It highlights how carbon pricing policy alters industrial structure and workfo…
Yin Y.
This study uses scenario analysis to assess how carbon taxes affect transport emissions along Belt and Road trade corridors. It compares carbon price levels and coverage to see how cross-border logistics and emission pathways shift, examini…
Rahiba Abdulhasanova
As the EU's CBAM enters its definitive phase in 2026, this paper maps Azerbaijan's exposure through four channels: in-scope products, planned electricity exports, transit effects, and downstream extension. It finds the 2026 financial burden…
Denis J. Murphy, Shana Yong
This paper examines how traceability, sustainability monitoring, and transparent verification can strengthen carbon trading systems for oil palm, rubber, and forestry in Malaysia and tropical regions. It argues these tools can turn carbon s…
Nils Markusson, Alina Brad, Etienne Schneider
Examines 'mitigation deterrence' in emissions trading schemes, where low-quality demand for carbon removal credits can displace genuine emission reductions. Focuses on how scheme design should manage the quality of removal credits and prese…
Liping Gao, Yufan Wang
An empirical study of China's national emissions trading system (ETS), examining the price–volume relationship and the determinants of trading volume. It sheds light on how price signals and market liquidity interact in the world's largest …
Deep Kamal Sharma, Ompal Singh
This study builds an integrated inventory model combining preservation technology, trade credit, inflation, and a carbon emission tax, solved numerically in MAPLE. Numerical examples show that jointly applying preservation and credit polici…
Sung-Woo Ryoo
This study examines how the EU Carbon Border Adjustment Mechanism (CBAM) affects the carbon costs of Korean export industries, focusing on indirect emissions and power-sector decarbonization. It analyzes the structure of carbon-cost burdens…
Wang L.
A study examining how China's carbon emission trading scheme affects green economy development and through what mechanisms. It empirically tests the pathways by which emissions trading improves green-economy outcomes. No abstract is availab…
Long W.
An empirical study examining whether carbon emission trading schemes (ETS) reshape audit reporting aggressiveness through an incremental information lens. It explores how carbon regulation spills over into corporate disclosure behavior and …
Aspinall T.
This paper estimates a term structure model of carbon prices in the EU Emissions Trading Scheme using state space methods. By modeling carbon prices across maturities like a yield curve, it enables inference on future carbon price expectati…
Ma X.
This paper examines how firms optimize production and sourcing decisions under an emissions trading scheme. It analyzes how carbon prices reshape procurement costs and supply-chain choices, offering a framework for strategic decision-making…
Babiker M.
A theoretical/policy paper questioning whether international emissions trading (linking carbon markets) is always beneficial. It likely examines conditions under which market linkages affect prices, abatement incentives, and welfare. Withou…
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