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 1061–1080 of 4132 papers
Sensheng Li, Minjun Huang, Fuping Wang +3
Proposes a hybrid ET-MVMD-GRU framework for carbon price forecasting across six Chinese pilot ETSs. Integrates feature selection, multi-scale decomposition, and deep learning, outperforming 10 competing models on MAE, RMSE, and MAPE. Offers…
Yiran Feng
Using panel data of Chinese A-share listed companies (2013-2023) and a DID approach, this paper finds that carbon trading policy significantly increases greenwashing behavior, yet has no significant impact on traditional financial indicator…
Eka Sudarmaji
This systematic review and quantitative synthesis examines the gap between administrative/disclosure-based carbon accounting and physically measured sensor-based methods. Engineered systems like UAV-LiDAR forest and building models show hig…
Da Pan, Chao Wang, Shengmin Zhao
Using China's Paris Agreement signing as a quasi-natural experiment, this study shows that climate transition risk significantly increases firms' capital income share. Mechanisms include reduced operating costs, capital deepening, technolog…
Hui Yuan, Shuxian Zheng
This study analyzes the impact of U.S. tariffs on Chinese PV products on embodied carbon emissions using MRIO and GTAP-E models. Extreme tariffs cause China's PV emissions to rebound by 4.9% during 2025-2027 and U.S. emissions to surge by 3…
Farhad Taghizadeh-Hesary, Wenchao Wang, Yang Liu +1
This paper analyzes the evolving dynamics of energy trade between the Middle East and Asia during the energy transition. It likely examines shifts in supply structures and their implications, though details are unavailable.
Zafir Ullah Khan, Muhammad Zubair Khan, Affan Hameed +1
This paper empirically examines the impact of geopolitical risk on energy poverty across countries. It tests the mechanism by which geopolitical tensions worsen energy poverty through price volatility and supply instability, offering policy…
Chuanyu Zhou
This systematic review synthesizes over 100 peer-reviewed articles on the EU CBAM, analyzing its theoretical foundations, economic impacts, legal challenges, and global governance implications. Ex-ante modeling suggests CBAM effectively pre…
Yinan Feng, Wubin Yan, Chuan Zhang
This study integrates LCA and TEA to evaluate 31 biomass utilization pathways in China, finding that prioritizing green fuel production offers higher profitability and decarbonization potential. It proposes optimizing inter-sectoral biomass…
Chen Wang, Jian Zuo, Xinyu Chen +11
This study develops a comprehensive framework to evaluate the economic and climate benefits of local versus outsourced PV waste recycling across technologies. Global PV waste will reach 297–402 million tonnes by 2060, with middle-income reg…
Hussain Muhammad, Mohamed Aman
Using panel data from STOXX Europe 600 firms, this study finds a positive association between environmental performance and disclosure, strengthened by climate governance and weakened by ESG controversies. Credible disclosure requires stron…
Jingyi Zhang, Jarod Kelly, Michael Wang
A tool developed to help U.S. battery manufacturers meet the carbon footprint reporting requirements of the EU Battery Regulation (EU) 2023/1542. It integrates major international frameworks including JRC, RECHARGE, Catena-X, Battery Pass, …
Murali Krishna Pasupuleti
This monograph proposes an integrated architecture for high-integrity carbon-credit market analytics, combining geospatial observation, topological data analysis, statistical inference, machine learning, and quantum-assisted computation. It…
M. Zhang
This study optimizes the combination of U-value and solar heat gain coefficient (SHGC) for plastic doors and windows in ultra-low energy buildings in frigid regions. Using a genetic algorithm and weighted entropy method within a multi-objec…
DS Hettiarachchi, S. M. Samindi M. K. Samarakoon, Kjell Tore Fosså
This study optimizes low-carbon high-strength concrete with 50% cement replacement using Icelandic volcanic pozzolan (VPI) and silicomanganese slag (SiMn) via response surface methodology. Water-to-binder ratio dominates strength, superplas…
Kui Hu, Wenhui Chen, Kunpeng Zhang +3
This study uses machine learning to optimize the design of low-carbon asphalt mixtures incorporating recycled concrete aggregate. By incorporating engineering constraints, it proposes mix designs that balance carbon emission reduction with …
Yan Liang
This paper proposes an intelligent management platform architecture for ecological governance under low-carbon constraints. It integrates edge-cloud collaboration, spatiotemporal graph networks, multi-modal anomaly detection, and multi-obje…
Quan Li, Silong Zhao, Yue Yuan +9
This study presents a soft-chemical direct regeneration method for retired LiFePO4 batteries using lithium carbonate and vitamin C, achieving efficient Li+ compensation and structural repair. The repaired material shows excellent electroche…
X. Y. Xu, S. N. Sun, X. G. Zhao
This study constructs a dynamic cost control model for green buildings enabled by low-carbon technology, integrating system dynamics and BP neural networks to improve prediction accuracy. Empirical validation shows a reduction in design-sta…
Fang Qi
This paper constructs a multi-objective optimization model for low-carbon urban fresh logistics distribution, minimizing total cost and carbon emissions. An improved ant colony algorithm with optimized pheromone update and heuristic weights…
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