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 16001–16020 of 36835 papers
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…
Emily Preedy, Darren L. Oatley-Radcliffe, Jose Gayo Pelaez +3
This study demonstrates a commercial-scale tubular photobioreactor using CO2 from a nickel refinery to grow microalgae, achieving biomass productivity of 0.11 g/L/d and sequestering ~1 tonne CO2/year. Techno-economic analysis shows positive…
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…
MORELLI, Rocco
This paper critically revisits the Marchetti-Nakicenovic logistic substitution model of energy sources (IIASA, 1979) against actual global energy mix data for 2024-2025. It finds major divergences due to geopolitics and technological accele…
M. Natili, Alessandro Pellegata, Francesco Visconti
Amid the energy crisis after the Ukraine invasion, this conjoint experiment reveals European citizens' preferences for policy packages balancing climate, energy security, and income. Support for renewables rises with social transfers and pr…
Huazhe Jiao, Yongze Yang, Yixuan Yang +7
This review provides a theoretical and practical foundation for using red mud (RM) as a supplementary cementitious material. It clarifies CO2 mineralization pretreatment, interfacial bonding mechanisms, and alkali-activation pathways, demon…
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…
Md Ruhul Amin, Sharif Mazumder, Pritam Saha
Using a novel climate policy uncertainty (CPU) measure, this study shows that firms reduce future innovation (patents, citations, value) in response to climate policy risk, with green innovation less affected. The mechanism is a precautiona…
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…
Jingcheng Zhang, Xinru Ji, Sheng Cao +5
This study develops a highly efficient and durable bimetallic phosphide electrode (Fe-doped Ni12P5 nanoneedles on nickel foam) for seawater electrolysis, achieving low overpotentials at industrial current densities (1000 mA cm-2) and stable…
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 …
P. Das Biswas, P. Dey, R. Bera
This review positions aerobic composting of municipal solid waste (MSW) as a superior CCUS pathway compared to anaerobic digestion (AD). Aerobic composting suppresses methane emissions and stabilizes organic carbon into humified soil organi…
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.…
Sharifov Eldor, Eshmirzayeva Mohinur, Rashidova Nilufar Tulkinovna
This article reviews how electrochemical technologies—lithium-ion batteries, fuel cells, and electrolyzers—drive automotive decarbonization across the full life cycle. It highlights the benefits of battery EVs, the dependence of hydrogen's …
A. Riaz, Cuijian Zhong, Assad Ullah
This study examines the impact of energy prices on sustainable industrialization in 32 OECD countries from 2000-2021 using linear and non-linear models. Findings show that energy prices negatively affect sustainable industrialization, while…
Shu Shang, Yanxi Li
Using panel data from Chinese A-share listed companies (2008-2023), this paper empirically examines how climate risk affects corporate sustainable innovation. It finds that climate risk significantly inhibits R&D inputs and patent outputs, …
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