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 8121–8140 of 28803 papers
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 …
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…
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…
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 …
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…
Barbosa, Gabriela, Almeida, Manuela
This paper focuses on digital interoperability for Building Renovation Passports (BRP), proposing a framework to support sustainable building renovation and decarbonization. It analyzes challenges in data standardization and information sha…
Vourdoubas, John
The DETOCS project surveyed sustainable energy use in 19 tourism entities across EU regions. Solar, biomass, and geothermal are popular, mature, and cost-effective. No carbon offsetting was found. The findings support decarbonization of the…
Mohamed Shamseldein
Gigawatt-scale hydrogen hubs introduce a new converter-dominated load class to power systems. This paper assesses harmonic injection, voltage stability in weak grids, and frequency response using open-source tools. It finds standard load mo…
Lavinia M. P. Ghilardi, Olga Walz, Steffen Klosterhalfen +1
This work develops mixed-integer programming formulations to identify optimal supply chain reconfigurations that preserve industrial operations and profitability under structural changes from the energy transition. By introducing product an…
Umesh Sharma, Tejas Adhikari, Mary Low
This study examines voluntary sustainability reporting practices among NZX50-listed companies, focusing on integrated reporting and ESG disclosures. Using content analysis, it finds that while most firms engage in some form of disclosure, E…
Poonam Chaturvedi, Ankita Rajput, G. K. Vani +3
This study analyzes GHG emission trends in buffalo meat production globally and in India, Pakistan, and China from 2000 to 2022. Using LMDI decomposition, it finds that production effect is the main driver of emission growth (average 54.83%…
Ravikiran Chintalapudi, Dadhu Venkata Raghunatha Reddy, Gangadhara Rao Ponugoti +4
Develops a framework for forecasting India's CH4, CO2, N2O, NOx, and PM2.5 emissions using EDGAR data and covariates. Selects optimal model per pollutant and applies conformal prediction for uncertainty. Projects 37.96% CO2 increase from 20…
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