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 8221–8240 of 33696 papers
Mengqi Xie, Qichang Ma, Xiang Chen
This paper systematically reviews the evolution of the energy security concept in the context of low-carbon transitions, highlighting regional divergences and emerging research trends. It offers an integrated perspective on energy policy an…
Roberta Botinha, Frank N. H. Schrama, Inge Bellemans +2
As the steel industry decarbonizes and increases circularity, scrap use rises, making chromium control in low-carbon steelmaking challenging. This review synthesizes thermodynamics, slag structure, and kinetics to explain chromium distribut…
Gengrui Chen, Hui Hongxun, GAO Hongjun +2
This paper reviews how industrial users can support the low-carbon transition of power systems through process reconfiguration. It analyzes flexibility mechanisms in steel, electrolytic aluminum, and cement industries, and proposes a three-…
H. Y. Miao, X. D. Yuan, M.H. Wu +3
This paper proposes a medium-to-long-term low-carbon economic dispatch framework for electro-hydrogen coupled microgrids (EHCMs) incorporating a tiered carbon trading mechanism. A spectral joint clustering method reduces dimensionality whil…
Peter Kuko, Karin Cakoci
This paper analyzes the EU's Carbon Border Adjustment Mechanism (CBAM) at the intersection of international trade law, customs law, and environmental law, assessing its compatibility with WTO law based on GATT articles and case law. It exam…
Limin Du, Huiying Peng, Zheng Wang
This paper models intertemporal equilibrium in China's rate-based emissions trading system, analyzing how banking mechanisms affect carbon price dynamics. It provides theoretical and empirical insights for policy design.
Wenjie Fan, Tingting Yu, Heng Wu
Using a panel of 5,000 Chinese listed firms (2008-2023) and a difference-in-differences design, this study finds that carbon pricing under China's ETS significantly reduces corporate investment, especially in high-emission sectors and large…
Jinlong Zhang, Wei Zhang
Using the phased rollout of China's carbon emission trading (CET) pilot policy, this study employs a staggered DID model to identify how transition risks from carbon pricing are priced in stock returns. CET-covered firms exhibit a significa…
Boduen Wang
This paper proposes a novel accounting framework that links Scope 3 inventory reductions to actual emissions consequences, incorporating reachability and evidence constraints. It aims for more realistic and verifiable emissions reduction as…
Yukino Kobayashi, Jiun-Da Lin
This article explains why Japan's GX sovereign bonds took a transition-labelled form, using a political economy lens. It shows how METI and transition-exposed industries shaped eligibility rules, while environmental actors had limited influ…
Hyo-Keun Jung, Hyung-Kun Joo
This paper examines transition finance strategies for export manufacturing industries to address carbon neutrality risks, focusing on trade-finance linkages. It proposes a financing framework to maintain and enhance international competitiv…
Mr, Lavudi Vijay, Dr. A. KARTHIGEYAN
This study empirically models the transmission of sustainable finance in banking, linking policy frameworks, ESG integration, green lending, and transition outcomes via PLS-SEM on survey data from 214 banking professionals. Findings show po…
Adel Ben Youssef, Mounir Dahmani, Davide La Torre
This study evaluates the efficiency of green finance and energy transition policies in OECD countries using an integrated MCDA and SHAP approach. It provides insights for policy prioritization and efficiency improvement.
Tariq Muhammad Hussein Al-Zoubi, Odai Al-Hailat, A. Alomar +1
AI is transforming ESG data collection and disclosure but raises transparency, verification, and AI-enabled greenwashing concerns. This doctrinal legal study proposes an integrated governance framework combining transparency, human oversigh…
Francesco Mastropierro
The ALRIGH2T project develops a multi-fidelity digital twin of hydrogen refuelling and a VR training environment to accelerate safe, efficient hydrogen refuelling for next-gen sustainable aircraft, minimizing risk and providing insights.
Elena Timofeeva, Arne Surmann, Patrick Selzam +3
This study simulates a reference urban energy community (rooftop PV, batteries, EVs, heat pumps) across 16 scenarios under four European regulatory frameworks. PV capacity is the main driver of energy autonomy (16.3-30.8% of demand), optimi…
Khondokar H. Kabir, Ataharul Chowdhury
Using Q-methodology with 22 Canadian agri-food professionals, this study identifies three discourses on climate misinformation: Ideology Over Evidence, The Literacy Gap, and The Platform Problem. Findings reveal weakened trust in science an…
Norah H. Almousa, Khawla M. Almalahi, Khulud A. Abuhaimed +3
This paper comprehensively reviews advanced thermochemical and catalytic conversion technologies for producing biofuels and biochemicals from lignocellulosic biomass. It compares pyrolysis, gasification, and hydrothermal liquefaction, highl…
Rima Das, Shubham Chaudhary, Abhishek Pandey +2
This chapter analyzes challenges of energy security and low-carbon transition in urban areas, proposing integration of renewable energy, smart grids, microgrids, and IoT/data-driven technologies. It discusses regulatory barriers, socioecono…
Chris Roberts, Mary Jo Dolasinski, Misty Johanson
This study evaluates macro-structural conditions enabling the transition from sustainable to regenerative tourism across ten coastal tourism countries using a multivariate indicator framework and hierarchical cluster analysis. It identifies…
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