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 8801–8820 of 32865 papers
P. Phuenhinlad, Wenting Jin, Zeyi Yao +7
This paper demonstrates an integrated recycling process for end-of-life PEMFC membrane electrode assemblies, recovering over 99% of platinum via mild leaching and capturing ~97% of fluorine as solid fluorides. A sequential leaching strategy…
Windy Lusia Samosir, M. Singgih, Nico Aditya Pratama
This study assesses the technical and economic viability of green hydrogen co-firing at the Tanjung Uncang CCGT in Indonesia, comparing dedicated solar PV electrolysis and grid+REC pathways. Results show technical feasibility but high costs…
Laura Cornelsen, C. Law, D. Derbyshire +7
Simulating food taxes and subsidies in Great Britain, this study evaluates co-benefits and trade-offs for nutrition and environment. A higher-carbon food tax yields the largest environmental gains but also welfare losses. Combining taxes wi…
Xueli Ma, Liru Song, Na Wang +1
This paper analyzes the interaction between government subsidies and low-carbon cold chain operations using a differential game, considering consumers' multifaceted preferences. It finds that strong consumer low-carbon preference can reduce…
Roberto O. Valdivia, W. Salas, S. McDermid +7
Rice paddies are a major source of agricultural GHG emissions, but current emission factors fail to capture variability. This Perspective argues that advances in measurement, modeling, and remote sensing enable higher-tier MRV systems (Tier…
Yue Ma, Qiang Li, Jinyun Yu +3
This review synthesizes the coupling mechanism between carbon flow and power flow in power systems, and outlines calculation methods for high spatiotemporal resolution electricity carbon factors. It enables more precise temporal and regiona…
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…
I. Kravchuk, N. Valinkevych, O. Prysiazhniuk
This paper presents theoretical and applied foundations for investment management in agribusiness distribution networks, integrating portfolio diversification, real options, behavioral finance, ESG metrics, and DeFi. It proposes a hierarchi…
Ying Guo, Lijun Tian
Under China's dual carbon goals, this paper analyzes the path and performance of green transformation in power enterprises using Shanghai Electric Power as a case. It identifies internal and external drivers, constructs an integrated system…
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…
Zilong Chen, Yaxuan Huang, Zihan Wang +4
This review argues for cross-scale integration in electrocatalytic selectivity, from nano to macro, criticizing single-scale approaches. It proposes a theoretical framework for industrial application and highlights AI integration for future…
Eugene Misa Darko, Doris Arthur
Using Australian data from 1990-2020 and a dynamic ARDL model, this study finds that energy efficiency (EE) has the largest short-run mitigating effect on CO2 emissions, followed by environmental taxes and renewables, while non-renewable en…
Mengya Gao, Kang Hou, Yucui Yang +4
This review systematically examines remote sensing methods for assessing terrestrial carbon sinks, highlighting uncertainties from satellite data limitations and uneven ground observations. It identifies gaps in model-observation alignment,…
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…
Jingxiao Wang
This empirical study analyzes factors influencing household adoption of new energy vehicles (NEVs) in China, based on a survey of 352 households. It finds that young, middle-aged, well-educated married individuals are the primary buyers, wi…
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…
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