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 11401–11420 of 29472 papers
Avyaay Rathi
This paper quantitatively analyzes e-kerosene production via Power-to-Liquid using DAC and green hydrogen. Wind/solar electricity yields 88% emission reduction vs. conventional jet fuel; coal electricity exceeds baseline by 6x. PtL efficien…
null Ina Nusuki
This systematic literature review synthesizes evidence on firm value determinants in the green-digital era. Based on 42 studies, it finds that green determinants (e.g., environmental/carbon disclosure, ESG performance, green investment) are…
Mosaddek Hossain, Mosharrof Hosen, Woon‐Leong Lin +2
This study analyzes dynamic interactions among circular economy, technological innovation, and renewable energy in five emerging Asian economies using GMM-PVAR on panel data (1995-2024). Findings show technological innovation drives sustain…
Mohammad Ansub Khan, Hira Mahmood, Jay Liu
This study proposes a scenario-based TEA-LCA framework to assess the deployment of low-carbon hydrogen feedstock for refinery hydroprocessors in regions with renewable energy constraints. It evaluates techno-economic and environmental trade…
Guijun Li, Donghan Meng
This study proposes a complex network framework to quantify the resilience of regional social-ecological systems (SES) under energy transition. Using the Yangtze River Delta urban agglomeration as a case, it maps interdependencies among soc…
Yongkang Ma, Yuexin Jia, Qianlun Mao +1
This study develops a carbon nanofiber-modified low-sodium iron pyrophosphate cathode for sodium-ion batteries, achieving high specific capacity (119.5 mAh/g) and excellent cycling stability (89.3% retention after 4000 cycles at 20C). Enhan…
Baihe Gu
This study reframes just transition from a developed-country-centric concept to one that incorporates Global South development needs, proposing a Development-Decarbonization-Structural Transformation (DDST) framework. It defines just transi…
Joel Stockill, Rachel Kieft, Fatemeh Kamali +1
This paper reviews the first year of subsurface performance of Australia's first large-scale onshore CCS project, Moomba CCS. CO2 is injected into depleted Toolachee reservoirs via five wells, with monitoring data (pressure, passive seismic…
Warach Madhyamapurush
This study examines behavioral intentions of low-carbon tourists in Thailand using mixed methods. Sustainability communication positively affects satisfaction, while constraints reduce it. Satisfaction strongly predicts advocacy, but passiv…
Ziming Bai
This paper analyzes the strategic role of metal-organic frameworks (MOFs) as 'molecular sponges' in achieving carbon neutrality, addressing CCUS bottlenecks. It compares MOFs with traditional adsorbents/catalysts, outlines design and indust…
Bochen Zhang, H. Huang, Zhili Han +1
This paper empirically analyzes the impact of digital-real integration (DRI) on green total factor productivity (GTFP) using panel data from Chinese industrial enterprises. Fixed-effects and mediation analyses show that DRI significantly im…
P. Roy
This study analyzes the nonlinear relationship between inward and outward FDI and corporate ESG performance using 6,511 firm-year observations from G20 emerging economies (2014-2023). It finds a U-shaped effect for inward FDI and an inverte…
Yuxuan Guo, Linxin Yin, Ruihan Xiong +2
This study addresses the severe risk of capital chain rupture in China's construction industry, focusing on vulnerable subcontractors. It proposes an AI-assisted risk control platform and innovative insurance products, using gradient boosti…
Zahra Yaghoubi, Mahyar Mansouri, Hosein Alimardani +2
This study applies explainable machine learning to optimize methane tri-reforming (TRM) for low-emission hydrogen production and CO2 utilization. Using 46,464 equilibrium data points, a neural network achieved the best predictive performanc…
S. Hou
Using data from Chinese listed firms (2010-2020), this study finds that indigenous religious culture (Buddhism and Taoism) significantly reduces corporate carbon emissions. The effect operates through enhanced CSR, eased financing constrain…
Xiumei Xu, Hongjuan Liu, Jian Xu
Using survey data from 602 wheat farmers in Heze, Shandong, this study applies an ordered probit model to examine how data capital influences low-carbon technology adoption. Data capital significantly promotes adoption, with ecological cogn…
Shunyang Yao, Mehdi Chougan, Doo-Yeol Yoo +1
This study develops a low-carbon ultra-high performance concrete (UHPC) using limestone calcined clay cement (LC3) for 3D concrete printing (3DCP). Compared to conventional Portland cement-based 3DP-UHPC, it maintains mechanical properties …
Luis Fernando Benavides Gonzalez
This paper examines how intelligent organizations, particularly SMEs in Costa Rica, can adapt to Industry 5.0 through three trends: smart technology integration for energy efficiency and circular economy, digital humanization, and electric …
Y. Qu, Shihu Lei, Xinyang Zhang +4
A ternary heterojunction WO3/ZnIn2S4/biochar derived from waste wood achieved a hydrogen evolution rate of 4.82 mmol/g/h under visible light, 9.4 times higher than pure ZnIn2S4. DFT and ESR analyses confirmed a dual Z-scheme mechanism, with…
Jiyoung Ko, Yong-Woon Kim, Y. Byun
This study proposes a deep learning framework for accurate greenhouse detection and segmentation from high-resolution aerial images. By integrating class-weighted loss and class-aware sampling into YOLOv8, it achieved mAP@0.5:0.95 of 0.566.…
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