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 241–260 of 2204 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…
Borghesi S.
An empirical study examining whether participation in the EU Emissions Trading System spurs environmental innovation in Italian manufacturing. It assesses how carbon price signals translate into firms' technological upgrading and decarboniz…
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…
Graupner Y.
A German case study assessing how the EU Emissions Trading System shapes the economic and climate impacts of transforming primary steelmaking. It examines how carbon pricing affects the viability and emissions outcomes of shifting steel pro…
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…
Rui Tang, Dingyao Yu, Chunjia Han +2
Using a recursively updated multi-regional CGE model (GTAP-E) with input-output derived trade shocks, this study compares unilateral border carbon adjustments, coordinated domestic pricing, and cost-equity differentiated pricing. Border-onl…
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…
Lourenco Wang
This paper evaluates Germany's reverse-auction compensation scheme for coal plant closures (2020-2022). About 9,974 MW was retired for roughly €700 million, implying a first-year abatement cost of ~€18/tCO2 versus an average EU ETS price of…
Selahattin İlhan
An open-source, dependency-free R engine that quantifies exporters' exposure to the EU CBAM as a probability distribution rather than a point estimate. It models firm-level technology heterogeneity and correlated stochastic processes for EU…
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…
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