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 1–20 of 1782 papers
Kaijie Chen, Dinggao Liu, Wen Han +2
This paper proposes CMTL-ATCN, a constrained multi-task learning framework that treats interval-valued carbon prices as coupled tasks optimized jointly under logical consistency constraints. Using attention-enhanced temporal convolutional n…
Xinkuo Xu, Wenting Kong
A point-in-time framework for China's Hubei, Guangdong, and national ETS (2021-2025) ensures every news, policy, and market observation is timestamped by actual availability. Matched TFT forecasts show eligible news cuts RMSE by 4.8% and WI…
Amna Iqbal, Muhammad Usman Aslam, Syeda Hania Zainab Gardezi +3
This chapter examines whether government-funded soil-health payments should be integrated into carbon pricing to capture soil carbon's climate value. It reviews SOC baselines, sequestration rates, credit pricing, MRV costs, and adoption bar…
Xinyang Xu, Yang Yang, Tunan Yang +1
Using 2024 AIS data, this study identifies potential carbon-avoidance hubs on the Far East–Northwest Europe route as maritime shipping enters the EU ETS. Tanger Med and Suez-adjacent ports are robust avoidance-sensitive nodes, while West Af…
Ying Zhou, Mingye Dong
This paper tests whether digital trade rules in regional trade agreements reduce bilateral trade-embodied carbon emissions. Using a rule-depth index from TAPED matched with Eora embodied carbon across 188 economies (2000–2023) and a high-di…
Albert Boaitey, Emmanuel Kofi Ackom
This study evaluates voluntary livestock-based carbon offset schemes across governance, design, and technical dimensions. Synthesizing evidence on prices and participation, it identifies significant design challenges and argues for structur…
Zhong J.
This paper examines whether China's carbon emissions trading pilot policy has demonstrably advanced low-carbon technology, using a case study of Beijing. It addresses the empirical question of whether emissions trading schemes spur technolo…
Allysa Fairuz Maharani Putri Putri, Rohma Septiawati, Hendri Nur Ardiansyah
Using PLS-SEM on 2020–2024 data from Indonesian-listed mining firms, this study finds green technology significantly drives carbon tax implementation, while green accounting and sustainability reporting show no significant effect. Technolog…
Wenhui Shao
Reproducibility code for a study linking China's national ETS carbon prices and trading volumes (Shanghai Environment and Energy Exchange) to eleven commodity-futures returns (Shanghai Futures Exchange), July 2021–August 2026 (1,229 daily o…
CANTÜRK, SERKAN
This chapter combines fuzzy multi-criteria decision-making (LOPCOW–IT2F-CoCoSo) with CS-ARDL panel econometrics to assess decarbonisation performance and carbon pricing/green finance effectiveness across OECD economies (2007–2023). Renewabl…
L. Mergaliyeva, K. Beketova, A. Gizzatova
This study examines Kazakhstan's decarbonisation implementation gap—the distance between stated climate ambition and observed emissions outcomes—using the UK as a governance benchmark. Through comparative institutional analysis, it shows ho…
Chen S.
An empirical study analyzing how carbon emission trading mechanisms affect urban green growth using a multi-path mediation model. It examines the channels (e.g., innovation, industrial structure, energy efficiency) through which emissions t…
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…
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