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 9641–9660 of 33989 papers
Riccardo Maddalena, Diane Gardner, Ahmad Alhamdan +2
This dataset provides raw experimental data on strength and durability of low-carbon concrete incorporating recycled plastic coarse aggregate, including marine exposure tests. It supports sustainable construction and circular economy in the…
Yarong Sun, Senbao Lu, Ruoying Wu +1
This study investigates how increasing stand density in temperate Robinia pseudoacacia plantations affects carbon sequestration and ecosystem multifunctionality, revealing a trade-off between them. It suggests that density management is cru…
Augustine Senanu Komla Kukah, Xiaohua Jin, Robert Osei-Kyei +1
This study explores organisational factors in carbon trading for the Australian construction industry and develops an overall organisational factor index using fuzzy logic. Eighteen factors were identified and grouped into four components. …
Zengchuan Wang, Yilin Hu, Yanfang Cui +4
This paper analyzes the synergistic reduction of carbon and hazardous air pollutant emissions embodied in inter-provincial trade in China from a national value chain perspective. It evaluates the impact of energy transition policies across …
Shikha Kumari, Nisha Kumari
This paper comprehensively examines pathways for decarbonizing global value chains (GVCs), proposing clean technology adoption, sustainable sourcing, trade policies like carbon border adjustments, and digital tools such as AI and blockchain…
Atiek Sri Purwati, Dewi Susilowati, Krisnhoe Rachmi Fitrijati +1
This community engagement program developed an integrated Accounting Information System (AIS) for SMEs, combining green accounting and ESG reporting. Through participatory methods, it built a digital platform integrating environmental costs…
Graeme Taylor, Peter Wadhams, Thomas Goreau +4
This paper argues that current climate strategies centered on emissions reduction and carbon removal are too slow to prevent dangerous tipping points. It proposes treating climate stabilization as a risk-management challenge, integrating mi…
Anam Ul Haq Ganie, Muzaffar Nazir, Ghadda Mohamed Awad Yousif +1
Using Indian data from 1992-2022, this study applies ARDL and KRLS models to examine the relationship between renewable energy consumption and public debt. It finds that in the short run, renewable expansion reduces debt through efficiency …
Michael Bane
This study shows that carbon-intensity-based scheduling of computation in time and space yields far greater emission reductions than code-level optimizations. For matrix operations, implementation choices achieve 51x energy savings, and shi…
Yousef Pourjamal, Dmitrii Bogdanov, Christian Breyer
This paper analyzes the impact of solar photovoltaic (PV) adoption on the energy-industry transition in the Nordic and Baltic countries. It considers regional renewable energy policies and electricity market structures to examine the econom…
Difei Chen
This study quantifies the environmental impact of building electrification and retrofit strategies across U.S. office buildings, considering regional grid fuel mixes. It finds that in clean grids electrification is beneficial, but in coal-h…
Michael Nchango, Dilek Latif
This study analyzes the 'dual perception' of fossil fuels as strategic assets and environmental liabilities among major emitters (China, US, India, Russia) using neoclassical realism. Combining qualitative analysis of leaders' speeches with…
Bayu Prabowo, Nanda Agustian Simatupang, Suciani Rahma Pertiwi +5
This systematic review of 24 studies (2020-2025) in ASEAN examines trade-offs of energy transition on health, ecosystems, and equity. Clean energy yields health gains (e.g., 25% infant mortality reduction in Indonesia's LPG program) but als…
Lokesh Pawar, Bertrand Le Gallic, Jorge Ramos
This study applies the SEBA framework to offshore wind and fisheries in the French North Atlantic–Western Channel, revealing uneven employment distribution (Gini 0.59 vs 0.42) and co-location of fishery revenue and wind firms (ρ=0.90). It o…
Carlos Augusto Ramírez-Ruíz, Sergio Cabrales, Carlos Felipe Valencia Arboleda
This study assesses climate change impacts on photovoltaic energy generation in Colombia using statistically downscaled CMIP6 projections and a physical PV panel model. Using 3-hourly resolution, it captures intra-day PV performance variati…
Zhuoxiao Wu, Yu Wei, Nathaniel Anderson
Develops a two-stage stochastic MILP model for willow-based pellet production, integrating seasonal harvesting and stochastic demand. Case study in New York shows stochastic inventory policies reduce mean cost by 1% and cost variability by …
Global CCS Institute, Sumitomo SHI/FW
This annual compendium by the Global CCS Institute showcases state-of-the-art carbon capture and storage technologies, providing a platform for technology providers to share solutions and for developers to discover the field's offerings. Th…
Zilio, Samuele, Zandonella Callegher, Claudio, Prina, Matteo Giacomo +1
This dataset, part of the EU LIFE-funded PLANtoACT project, provides municipal-level spatial estimates of renewable energy potentials (solar PV and wind) for five European pilot regions: Oberland (Germany), Auvergne-Rhône-Alpes (France), Lo…
Rogissart, Simon, De La Cruz, Ruben
This dataset systematically documents non-price criteria used in prequalification and award phases of European offshore wind auctions from 2005 to 2028. It includes a codebook, verbatim descriptions of criteria, and auction-level values, bu…
Mao, Yingming
This dataset provides hourly uncertainty data for wind and PV power over a year, including upper/lower bounds and typical scenarios for each hour. It supports energy systems analysis, robust optimization, and stochastic programming, enablin…
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