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 1141–1160 of 26870 papers
Hughes, Hunter
This paper argues that the pace and direction of sustainable technology diffusion across energy, transport, and industry are shaped by the interplay of political institutions, market incentives, and social demand. It analyzes barriers from …
Ana Karen Silveira, Pereira Caracas, Ana Verucia Leitão da, Silva Vasconcelos, Constantino, Frate Junior +14
A qualitative, exploratory study prioritizing emerging technologies across the green hydrogen value chain in Ceará, Brazil, drawing on expert perception plus bibliographic and documentary review. It integrates criteria such as technological…
Jammeh, Bakary
This dataset provides EU-27 and extra-EU trade data (2015–2025) for critical raw materials (copper, cobalt, nickel, lithium, rare earths, PGMs), supplier concentration indicators (HHI, CR1–CR4), 2030 technology-level demand projections, and…
Karolina Hozova, Tomas Havranek, Zuzana Irsova
First meta-analysis of board gender diversity and ESG ratings, using 533 estimates from 106 studies. The average effect of a one-percentage-point increase in female board representation is ~0.28 ESG points, but correcting for publication bi…
郑成成, Qin Lu, Zhang Qian +4
A K-promoted CoCu/ZrMgOx catalyst was prepared by sol-gel and tested for the reverse water-gas shift (RWGS) reaction. K addition suppressed methanation and boosted CO selectivity, reaching 23.32% CO2 conversion and 99.92% CO selectivity at …
Muhammad Zubair Chishti, Muhammad Qasim Javaid, Daniel Balsalobre‐Lorente
Using machine-learning models on a panel of 285 Chinese cities (2005–2023), this study finds ICT diffusion significantly mitigates CO2 emissions via energy efficiency, green innovation, and green human capital. Effects are stronger in resou…
Mustafa Wassef Hasan
This study models decarbonization pathways for Iraq that move from gas flaring toward renewable energy and system flexibility, explicitly constrained by energy adequacy requirements. It examines how power-system reliability can be preserved…
Anushree Tandon, Rsha Alghafes, Muhammad Zafar Yaqub +1
A qualitative study of 43 supply chain professionals using the Gioia method finds that decarbonization changes what power rests on without changing who holds it. Decarbonization becomes a new shared basis of dependence binding partners clos…
Ohn Zin Lin, Eftichios Koutroulis, Hnin Yee Aye +6
This critical review examines the ASEAN Power Grid's evolution from cross-border power links toward a digitalized regional electricity market. It assesses the APG's potential as a catalyst for renewable energy integration and decarbonizatio…
Chen Y.
This paper proposes a distributionally robust joint chance-constrained approach to manage reserve deliverability risk in integrated electricity-heat systems participating in day-ahead markets. It addresses uncertainty from renewables while …
Zhang S.
This paper develops an optimization model for the carbon capture, utilization and storage (CCUS) supply chain, applied to a case study in Northeastern China. It optimizes capture, transport, storage and utilization stages to assess the econ…
Lu M.F.
This review systematically surveys ship-based carbon capture, utilization and sequestration (CCUS) technologies. It maps technical options, maturity levels and barriers for onboard CO2 capture, and positions them within maritime decarboniza…
Ahmed N.
This paper explores how computer-assisted language learning (CALL) technologies can build financial language literacy around green bonds, aiming to democratize access to green bond markets. Without an abstract, methods and empirical finding…
Hameed A.
An empirical study examining how individual ESG disclosure components (environmental, social, governance) affect firm performance in the GCC financial sector. By disaggregating disclosure into components, it tests the economic value of ESG …
Xue J.
This study empirically examines whether ESG disclosure shields firm valuation during global crises, focusing on institutional investor ownership as a channel. It suggests higher-quality ESG information supports investor confidence and valua…
Xie H.F.
This study uses the APSIM crop model to assess how different cropping patterns affect major greenhouse gas emissions in the North China Plain. It quantifies agricultural production-stage emissions and shows that cropping choices influence e…
Zhai Y.
A hybrid CNN-SVR neural network is proposed to predict soil greenhouse gas emissions. Soil GHG fluxes matter for agricultural and land-use emission inventories, so improved ML prediction could sharpen monitoring. However, with no abstract a…
Herna Herna, Etty Gurendrawati, A. Buchdadi
Using panel regression on 18 non-financial firms (90 observations) in Indonesia's ESG Quality 45 IDX KEHATI index (2019-2023), this study finds that aggregate and pillar-level ESG disclosure significantly raises firm value, while earnings m…
Ł. Szewczyk, Grażyna Szustak, Witold Gradoń
This paper examines how financial safety net institutions—central banks, regulators, deposit insurers, and resolution authorities—must adapt to climate risk. It argues that physical and transition risks transmit through credit, market, liqu…
N. Zakharchenko, Oleh Babii, Andrii Andreichenko +3
This paper develops an 'adaptive green governance' framework integrating collaborative governance with environmental sustainability for Ukrainian territorial communities amid post-conflict reconstruction and EU integration. It proposes a fu…
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