This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 781–800 of 1041 papers
Svabic, Dimitrije
This study analyzes how the EU ETS influenced electricity generation composition from 1990 to 2023 using a Difference-in-Differences framework. It examines baseline treatment effects and exploits heterogeneity in carbon intensity to show ho…
Duttilo, Pierdomenico, Lisi, Francesco
This paper investigates the carbon cost pass-through rate (CPTR) in the Italian electricity market under the EU ETS from 2016-2024. Using a regression model with autoregressive dynamics, it finds incomplete pass-through at around 30% nation…
Travis Wagher, Joshua Mitchell
This paper investigates the adoption of carbon pricing policies across U.S. states, using data from 2005-2020. It identifies factors that increase adoption likelihood, such as political landscape and interest groups, and finds overlap with …
Aydin, Asli, Acar, Sevil
This study analyzes the sectoral impacts of the EU ETS using panel data from 1995-2020. It finds that ETS coverage negatively affects value added and gross output but does not significantly reduce GHG emissions. Free allowances are insuffic…
Kush Dave
This paper compares the EU Emissions Trading System (ETS) and CORSIA as carbon pricing mechanisms in aviation. The ETS has achieved modest emission reductions and stronger price signals within Europe but faces competitiveness concerns. CORS…
Nyangon, Joseph, Seifi, Brecht
This paper explains how the EU's Carbon Border Adjustment Mechanism (CBAM) works alongside the EU ETS to apply carbon pricing to imports, addressing competitiveness and carbon leakage. It covers initial sectors (steel, cement, etc.) and arg…
Hsiao-I Kuo, Shu-Chen Chang
This study investigates volatility dynamics and cross-market interactions between the EU ETS and UK ETS post-Brexit using GARCH(1,1) models. Results show volatility clustering and persistence in both markets, with higher persistence in the …
Varanasi Rahul, H. V. Sathyananda Swamy, V. K. Pavithra +3
This paper examines the evolution, design, and comparative effectiveness of carbon pricing, offsetting, and emissions trading schemes (ETS) globally. It evaluates the economic efficiency of carbon taxes vs. cap-and-trade, and the role of ca…
K. Balaji
This chapter examines how carbon pricing influences capital reallocation in global financial markets through a comparative case study of the EU ETS, China's National ETS, and the California Cap-and-Trade Program. Findings show that higher a…
Stefano Grillini, Tristan Jourde
This paper introduces a dynamic, characteristics-driven carbon beta that conditions transition risk exposure on firm characteristics and market sentiment. Analyzing U.S. and European equities, it finds transition risk is anchored by histori…
Jiang Y.
This study examines the challenges and long-term nature of achieving carbon neutrality through an analysis of carbon emission trading in Hubei Province, China. Using mixed methods, it explores the effectiveness and limitations of the carbon…
Wang Y.
This paper analyzes the impact of China's carbon emissions trading system on corporate financial decisions, empirically examining how carbon price fluctuations affect investment and financing, demonstrating policy effectiveness.
Zhang C.
This study examines the impact of China's carbon emissions trading (ETS) pilot policy on firm-level pollution reduction using A-share listed companies. The results show that ETS significantly reduces emissions such as SO2 and PM2.5, demonst…
Du Y.
This paper proposes a BP neural network model to predict carbon emissions trading prices in Fujian Province, China. It analyzes price drivers and validates the model's effectiveness, contributing to improved carbon price forecasting.
Jiang X.
This paper empirically analyzes the impact of China's carbon emissions trading policy using provincial-level data. It quantifies the emission reduction effects and economic consequences after the policy's implementation, providing evidence …
Qian J.
This paper empirically examines whether emission trading policies can promote green transformation of regional economies, using Chinese data. It analyzes the effects of carbon markets on industrial structure and environmental performance, p…
Inderberg T.H.J.
This paper examines the alignment tensions between New Zealand's Climate Change Act and its Emissions Trading Scheme, exploring how anchoring policies affect the reconciliation of climate goals and market mechanisms.
Chen X.
This study uses a quasi-natural experiment to examine the impact of China's carbon emission trading pilot policy on corporate ESG performance. It finds that the policy significantly improves ESG ratings, providing causal evidence for the ef…
Wang Q.
This paper analyzes the impact of China's carbon emissions trading pilot policy on green technological innovation in manufacturing firms. The policy led to increased green patent applications and energy-saving technology investments. The fi…
Luo S.
This paper empirically analyzes the impact of emissions trading systems (ETS) on corporate green technology innovation. It reveals the mechanisms through which ETS promotes investment in low-carbon technologies, such as carbon price signals…
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