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 1241–1260 of 1384 papers
Mardi ani
This paper analyzes the role of ESG disclosure in improving financial reporting quality under IFRS S1. Using a quantitative approach, it measures reporting quality via earnings quality, value relevance, and earnings management, and ESG disc…
Huan Wu
This study examines the dual carbon pressures from China's Emissions Trading System (ETS) and the EU's Carbon Border Adjustment Mechanism (CBAM) on the cement and aluminum sectors. It analyzes impacts on operating costs, competitiveness, an…
Junhao Ren, Honglin Gao, Lan Zhao +3
This study develops a multi-agent reinforcement learning framework for self-interested microgrids in P2P electricity trading, addressing renewable generation and demand uncertainties. Each microgrid independently bids price and quantity, op…
Z. Gao
This study proposes a hybrid deep learning model integrating LSTM, GCN, and multi-head attention for dynamic carbon pricing optimization in green transportation supply chains. It improves prediction accuracy by 23.7% and cost optimization b…
M. Luomi, Sarah Wahbah
This paper analyzes design choices in emissions trading schemes (ETS) using data from 38 operational systems worldwide. It covers key elements such as scope, cap setting, allocation, and price management, offering best-practice insights for…
Murat Yıldız, Abdurrahim Akgundogdu, Güldem Elmas
This study develops a distribution-free causal forecasting framework for voyage-level CO2 intensity, using 1440 real-world voyages on four Nigerian coastal routes. A physics-informed LightGBM model with leave-one-route-out protocol predicts…
O. Olawore, Y. Kuti, Kazeem O. Oyerinde +7
Through a systematic review of literature from 2007-2024, this paper analyzes the effects of carbon taxes and emissions trading systems on GHG reduction, technological innovation, and structural change. It examines challenges such as distri…
Mariusz Pyra
This paper analyzes the long-run co-evolution of carbon pricing mechanisms, emissions coverage, and revenues using annual global time-series data (1990-2024). It finds a robust positive correlation between the number of mechanisms and cover…
Rui Tang, Dingyao Yu, Yanping Li +5
This study conducts an ex-post analysis of carbon pricing's emission reduction effects and mechanisms using international data. Results show that carbon pricing significantly reduces emissions, with higher prices leading to greater reductio…
Shafiq Tumusiime, Yongjun Li
This study analyzes how China's carbon emissions trading system (ETS) drives eco-efficiency in coal-fired power generation, revealing mechanisms for a low-carbon energy transition.
Sindhu P.J
This study compares carbon pricing mechanisms (ETS and carbon taxes) across 47 jurisdictions from 2015-2025 using synthetic control and difference-in-differences. ETS achieve larger emission reductions (9.7% vs. 6.4%) but with higher price …
L. Judijanto
This paper examines the opportunities and challenges of POME-based SAF under ICAO CORSIA, highlighting carbon-accounting advantages due to residue classification and low default life-cycle emissions. It identifies supply-chain variability, …
A. Varkey, Eby Johny
This book covers carbon pricing (carbon tax, ETS), carbon accounting (Scope 1,2,3), and net zero targets, analyzing recent energy crises and geopolitics from micro and macroeconomic foundations. It is a textbook style resource for students …
T. AL Maymani
This paper presents a framework for an advanced sustainability and compliance reporting solution for the energy sector, integrating data from 15 countries, 41 facilities, and over 300 suppliers. It automates Scope 1, 2, and 3 emissions data…
Son Nguyen
This paper critiques existing governance models in Southeast Asian semiconductor clusters for prioritizing competitiveness over climate objectives. It proposes three innovations—Cluster Climate Compacts, Climate-Aligned PPPs, and Polycentri…
Pilar Acosta, M. Knudsen
This study examines how 25 global firms engage suppliers to reduce Scope 3 emissions, identifying five mechanisms: codes of conduct, financial instruments, digital platforms, supplier training, and co-innovation. It assesses implementation …
Rashanjot Kaur, Triparna Kundu, Bhanu Sharma +2
This paper examines operational resilience of global supply chains under carbon constraints. It develops a multi-agent framework integrating supply chain decisions, national energy-transition profiles, and carbon-aware AI computation. The C…
Emmanuel Ohimai Ojo, Prince Michael Akwabeng, Gloria Opoku Darkoh +1
This systematic review examines AI applications in carbon emission monitoring and green investment decisions, analyzing 55 studies from 2021-2025. It finds that machine learning, deep learning, and hybrid algorithms significantly improve em…
Muhammad Ikram
This study proposes the Net Zero Circular Value Chain Model (NZCVCM), integrating circular economy (CE) with net-zero carbon goals. Based on the 10R classification, it identifies opportunities to reduce greenhouse gas emissions in each reso…
Cristina Angelico, Enrico Bernardini
This paper finds significant limitations in emissions data for euro area banks from four providers: gaps, inconsistencies, and high volatility in scope 3 emissions. It tests three GenAI tools and finds that GenAI-based data correlates with …
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