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 2738 papers
Cheng H.
A theoretical study comparing domestic and international emissions trading regimes under capital mobility. It likely examines how cross-border capital flows affect the efficiency, distributional outcomes, and design of carbon markets. Findi…
Habib M.
This work examines how carbon pricing affects the food system, weighing sustainability gains against equity and distributional consequences. It considers whether pricing food-related emissions can deliver environmental benefits without wors…
Shucheng Lei, Jinpeng Yan, Shu Gao +2
This study proposes a bi-level, multi-objective planning approach for multi-energy complementary integrated energy systems under a ladder-type (tiered) carbon trading mechanism. It aims to quantify how carbon price signals shape capacity mi…
Tongbin Qian, Zao Tang, Jia Liu
This work proposes a multi-timescale optimization of electricity and carbon trading for combined wind-storage systems, using a physics-informed, safety-aware actor-critic reinforcement learning algorithm. No abstract is available, so detail…
Farah Nisrina, A’an Efendi, Y.A. Triana Ohoiwutun
Indonesia regulates carbon trading via Presidential Regulation 98/2021, but private-law aspects of transferring carbon unit rights through authentic deeds remain unaddressed, risking legal uncertainty and double counting. Using normative ju…
Bhabani Sankar Samantray, K Hemant Kumar Reddy
Proposes an intelligent three-stage framework integrating carbon credit distribution, pricing, and dynamic trading. It leverages AI to improve market efficiency and price formation in carbon credit systems. Empirical details are unavailable…
Lukas Raszka, Ondřej Grycz, Šárka Vilamová +1
A replication package for a study examining whether the EU ETS for shipping slows vessels and cuts CO2. It bundles 2018–2025 EU MRV publications, EUA/VLSFO price and FX data, and Python code reproducing every table and figure. Version 1.1 a…
Maroua Chaouachi, Ahmed Samour
Using Augmented ARDL on U.S. building-sector data (1994–2021), the study finds environmental taxation and green technological innovation reduce carbon emissions, while rising housing prices increase them. It challenges the assumption that h…
Soe Ko Ko Aung, Wongkot Wongsapai, Tassawan Jaitiang
This systematic review (PRISMA 2020) maps existing and emerging energy mitigation technologies relevant to Article 6 cooperation in Thailand's power and transport sectors. It classifies technologies by sector, implementation status, Article…
Jammeh, Bakary
Projects EU ETS auction revenues for 2031–2040 across low/mid/high carbon-price scenarios and compares them to EU energy-system investment needs. The tightening cap's volume effect dominates the price effect from 2031, and revenues cover on…
Nuryati Tutty, Khasanah Uswatun, Basrowi
This study examines how green accounting and stakeholder pressure influence corporate carbon tax avoidance, with environmental disclosure as a mediating channel. It links carbon pricing compliance behavior to disclosure and stakeholder gove…
Bosello F.
A study on carbon emissions trading and equity within international agreements. Without an abstract, details are unverified, but the work centers on emissions-trading design and cross-country fairness. It may inform readers interested in ca…
Issayeva G.
A policy analysis situating carbon taxes within the WTO trade-rule framework, examining conflicts of interest and institutional challenges. Using Kazakhstan as a case, it considers alignment with global carbon-pricing trends such as the EU …
Yue Chen, Xiao-Peng Guo, Rong Shi +1
Using multi-agent deep reinforcement learning, this paper simulates an integrated electricity-carbon-REC market to test how carbon auctioning and voluntary REC trading affect heterogeneous VPPs. Auctioning raises the cost of carbon-intensiv…
Shuo-Yan Chou, Tiffany Hui-Kuang Yu, Erma Suryani +4
A system dynamics study examining how a carbon fee policy can drive Taiwan toward net-zero emissions. It models the dynamic interaction between carbon pricing design and emission-reduction pathways. Detailed findings are limited as no abstr…
Muhammad Bilal
This paper assesses the EU CBAM (Regulation 2023/956) against WTO law—GATT MFN/NT, Article XX exceptions, and the SCM Agreement—arguing it is provisionally justifiable under Art. XX(b)/(g) but tensions persist from residual free ETS allowan…
Robin Kunju Mol Raj, Marek Vochozka, Yelyzaveta Shebalkova
Using a TVP-VAR model, this study examines shock transmission among Brent crude, TTF gas, and EU ETS allowance prices during the 2022 energy crisis. Overall connectedness is weak (~10% of forecast-error variance), and the apparent decline a…
Shanshan Zuo, Jianhong Yang
Using China's Guangdong pilot carbon market, this study applies TVP-VAR and frequency-domain spillover analysis to decomposed oil price shocks, physical/transition climate-risk indices, and carbon prices. Short-term spillovers far exceed lo…
Yongbo Deng
Presents executable verification artifacts certifying every equilibrium claim in a dynamic carbon-market game using exact-rational certificates. A real-LLM propose-verify-revise protocol achieves 14/14 convergence and 42/42 adversarial reje…
Syed Muntasir Mamun
This paper tests jute's low-carbon claim against published LCAs and maps exposure to carbon border measures and packaging rules. Jute's advantage is real but conditional—hinging on reuse, end-of-life fossil avoidance, and especially methane…
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