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 361–380 of 2130 papers
Macit A.
This study proposes a benchmarking-based strategic management framework for airports facing EU Emissions Trading System compliance and green finance needs. It links carbon-price exposure to financial strategy and uses peer comparison to sur…
Yu-Ke Zhou, A. Wierman, Jie Song +1
This paper models generators participating in both electricity and carbon cap-and-trade markets across multiple timescales. Using optimization decomposition, it links their coupled incentives to an offline planner's cost-minimization proble…
Yan Zheng, Fenghua Wen, Jihong Xiao
An empirical study examining how risk aversion relates to carbon price returns, focusing on extreme market conditions and tail risk. Likely using China's emissions trading market data, it contributes to understanding carbon price volatility…
Mingyue Li, Qizhi Tao, Di CHEN +1
Using Chinese listed polluting firms, this study shows that jointly implementing an environmental protection tax and a carbon trading pilot synergistically improves ESG performance, while neither policy alone suffices. The synergy works thr…
Tianbo Han, Qingwei Xiao, Weiwei Li +4
This paper models a data center-based energy hub bidding in coupled electricity, heat, and ladder-type carbon markets. A bilevel program coordinating workload shifting, waste-heat recovery, CHP, and storage is reformulated as a single MILP.…
Shuang Zhang, Douglas Almond
First empirical study of China's 2021 nationwide rate-based carbon market, using satellite imagery and machine learning on plant-level data. High-efficiency coal plants increased generation and CO2 emissions ~5% versus low-efficiency plants…
Ian Parry, Simon Black, Nate Vernon-Lin +1
This chapter explains how IMF modeling frameworks, notably the IMF-World Bank Climate Policy Assessment Tool (CPAT) covering 200+ countries, quantify the environmental, energy, fiscal, and economic effects of mitigation policies. It covers …
Li C.
An empirical study examining how China's carbon emission trading scheme reshapes internal capital allocation within business groups. It investigates whether carbon reduction pressure drives firms to reallocate capital across group affiliate…
Wang H.
This study examines how carbon emissions trading markets influence low-carbon technology innovation through the lens of financial geographic structure. It links emissions trading to innovation pathways and regional disparities via the geogr…
Wang-Helmreich H.
A policy study examining how adding a domestic offset component to a carbon tax affects national emissions mitigation. It analyzes whether offsets weaken or complement the tax's abatement incentive. Relevant to carbon-pricing design and off…
Jörgen Larsson
This commentary assesses public acceptance of Moberg et al.'s proposal for a climate fee on food consumption to finance carbon removal. It notes negative factors (higher household costs, regressive incidence) that weaken support, but highli…
Gnaoui Imane, M. Nusrate Aziz
This event study examines the stock market reaction of eight Casablanca-listed firms to Morocco's voluntary carbon market launch announcement (Sept 24, 2024). Neither the event-day AAR (-0.238%) nor the [-4;+5] CAR (1.00%) was statistically…
Xiaoning Zhu, Siyu Wu, Rui Yan +4
This study assesses how the two major carbon-pricing instruments—cap-and-trade and carbon tax—affect dual-channel closed-loop supply chain networks. Authored at the University of Science and Technology Beijing, it appears to model how carbo…
Zecheng Li, Siti Hafizah Ab Hamid, Qingsong Hou +3
This study examines state-dependent connectedness across climate, energy uncertainty and carbon returns around the EU ETS (2011–2024). Average connectedness is modest, with allowances mainly receiving shocks, but spillovers intensify in tai…
Elnaz Azadi, Ali Emrouznejad, Xun Zhou
This study proposes an integrated network Data Envelopment Analysis model combined with a second-scoring auction mechanism to evaluate decarbonisation under cap-and-trade systems. It links emissions-trading design with firm-level efficiency…
Antes R.
A work examining emissions trading systems (ETS) across institutional design, policy decision-making, and corporate strategy. It addresses how design choices—caps, allowance allocation, price-stability mechanisms—shape firm compliance behav…
Hung S.W.
An empirical study examining whether carbon emissions trading and inflation drive investor anxiety. Without an abstract, details are unclear, but it sits adjacent to GX finance by linking carbon-pricing signals to market sentiment and asset…
Guo Rui
Proposes FQA-ATT, a Transformer with a feature-quality gate (mutual information + random forest importance) and quality-adaptive attention for 5/10/21-day EU ETS carbon price forecasting. A leakage-controlled protocol yields the lowest vali…
Jessica F. van Veen, Ulf J.J. Hahnel
This is a pre-registration for a study estimating carbon tax impacts across 15 countries, specifying hypotheses, measured variables, and a data analysis plan. It outlines the framework for a cross-country empirical assessment of carbon taxa…
Ick Jin
This replication package provides harmonized input-output data, industry GHG emissions, and Python code for a study on differentiated carbon taxation across Korea, France, Italy, the Netherlands, and Canada. It compares Direct, Network, and…
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