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 7561–7580 of 32575 papers
Mircea-Iosif Rus
This study analyzes the impact of innovation and energy transition on the economic dimension of sustainable development (GDP per capita) using panel data from 27 EU countries (2010-2024) with a System GMM estimator. Employment and energy pr…
Rega Sota, Daniel M. Kammen, Magdalena Klemun +1
With four years left until the UN Agenda 2030 deadline, this article assesses the SDGs' role, highlighting shortcomings and suggesting improvements. It calls for periodic reviews, decentralized application, enforceable commitments, and miss…
Joseph Sanderson
Climate change intensifies food safety risks; digital technologies (AI/ML, IoT, blockchain) strengthen risk analysis via monitoring, prediction, and traceability. Three case studies (AI sorting, blockchain supply chain, IoT cold chain) show…
Abdulmajeed Mhali Alshammari
This study analyzes the relationship between financial inclusion (FI) and renewable energy transition (RET) in GCC economies from 2000-2024 using an EKC framework and spatial autoregressive model. It finds positive regional spillovers in RE…
Manish Ramaiah, Ram Avtar
This study quantifies carbon stocks and sequestration in urban green spaces (UGS) in two Indian cities, Panaji and Tumkur. Based on field data from 4,010 trees, hedges, and groundcover, it estimates an average CO2 sequestration of 55 kg per…
Himanshu Sekhar Panda, Mantu Kumar Mahalik
Using panel data from 8 emerging and 16 developed economies (1996-2022), this study finds that renewable energy diversification mitigates energy uncertainty more effectively in emerging economies. Innovation strengthens this effect, while e…
Rishi Kant
This paper proposes an integrated framework combining biochar engineering from waste biomass, digital optimization, and circular resource recovery pathways to achieve carbon-negative technologies. It leverages biochar's carbon sequestration…
Monserrat Ramírez-Melgarejo, Joseph Sánchez-Balseca, Thomas Stringer +1
Analysis of wastewater treatment plants in Querétaro, Mexico (2013-2022). High pollutant removal (BOD5 92-97%, TN 50-60%) avoided 146.1 MtCO2e over ten years, but electricity consumption and GHG emissions increased. In 2022, emissions were …
Ramzi Knani, Chaker Gabsi, Ismail Bengana
This study analyzes energy transitions in 25 African countries using DTW clustering, LightGBM for variable importance, and Panel ARDL for short- and long-term effects. Results show distinct dynamics across groups, with macroeconomic vulnera…
Abeer Abdulmajid Ali abeed, Ahmed Alsiheeri Hassan Laq
This study analyzes the design and economic feasibility of a grid-connected photovoltaic power plant, highlighting its role in reducing greenhouse gas emissions. Despite high initial costs, long-term economic and environmental benefits make…
Thaysa Portela Carvalho, Magnus Hellström, Nina Tynkkynen
This systematic review identifies sustainability tensions, dilemmas, and paradoxes in offshore wind development, highlighting conflicts among economic, environmental, and social demands. It argues that flexible definitions of sustainability…
Miller, Gregory J., Rouille d'Orfeuil, Benjamin, Shi, Wenbo
The Open Grid Emissions Initiative provides publicly accessible hourly grid emissions data for the U.S., built on EPA's eGRID with improved data quality and granularity. The 2025 early release includes plant and subplant-level data only, wi…
Ruiz Hernandez, Miguel Angel, Gomez San Roman, Tomas, Chaves-Ávila, José Pablo
This paper proposes a stochastic optimization model for timing distribution substation capacity investments under uncertainty, integrating real options and trigger rules. It demonstrates strong synergies with flexibility solutions, achievin…
Zhang, Jingle, Zhang, Haoran, Shen, Luwen +1
This paper systematically catalogs renewable energy drought events (wind and solar supply shortfalls) across three continents, providing a panel dataset. Comparative analysis reveals the reality of supply variability risks as renewable pene…
MARAZZA, DIEGO
This resource documents the structured regulatory knowledge architecture developed within the NET-Fuels project (Horizon Europe), including ontology, semantic architecture, assessment logic, and implementation data architecture. It underlie…
Zhang, Jingjing, Chen, Bin, Wang, Sijing +1
This dataset provides direct GHG emissions from municipal solid waste treatment in 277 Chinese cities for 2023 and 2050 under 2187 scenarios, broken down by treatment pathway (landfill, incineration, food waste valorization). It also includ…
(著者不明)
This randomized trial in a naturalistic online grocery store tests whether food swap recommendations improve the healthfulness and reduce the carbon footprint of purchases. It provides empirical evidence on consumer behavior change and its …
(著者不明)
This paper examines the role of allochthonous particulate organic carbon (POC) in blue carbon ecosystems, discussing implications for carbon accounting and stability. It suggests that considering allochthonous POC is crucial for accurate ca…
Erkin Cihangir Karataş
This study projects Türkiye's agricultural sustainability to 2030, analyzing GHG emissions, water intensity, and economic dynamics. Using the Prophet model with three scenarios, it finds international projections most realistic, predicts a …
Lu Hong, Feng Tian, Chunyan Diao +1
This paper proposes a systematic framework for zero-carbon industrial parks based on electricity-carbon integration, combining digital twin monitoring, VPP-enabled optimization, deep decarbonization technologies (BIPV, CCUS, green hydrogen)…
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