This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 12361–12380 of 20378 papers
Siyi Wang
This paper proposes a low-carbon intelligent path planning method using genetic algorithms for machining carbon fiber reinforced polymer aerospace components. Experimental results show a reduction in path length, machining time, energy cons…
Penka Zlateva, Mariana Murzova, Angel Terziev +2
This study assesses hydrogen production from waste plastics as a low-carbon pathway through an integrated socio-technical framework combining thermochemical conversion assessment and market acceptance survey (n=162). Results show acceptance…
Oliver R. J. King, Eduardo Luckie-Herrera, Nathan Skillen
This perspective paper argues for a diverse portfolio of low-carbon and renewable hydrogen pathways beyond electrolysis, emphasizing the need for multiple production methods to support the hydrogen economy. It provides strategic insights fo…
Ege Balkiş, Olcay Gülçiçek Uysal
This study assesses the carbon footprint of open-field strawberry production in Silifke, Turkey, using a cradle-to-farm-gate LCA. The total carbon footprint is 0.25052 kg CO2-eq per kg, with cultivation contributing 77.56%. Fertilizer use i…
Juan Li, Qi Kang, Yibo Wang +4
This paper proposes a hybrid scheduling optimization method for an integrated energy system combining Liquid Air Energy Storage (LAES) and Combined Cooling, Heating and Power (CCHP), aiming to achieve low-carbon operation and multi-energy s…
Yaping Luo, Jianxian Wu
This paper explores the potential of AI technologies to reduce carbon emissions in the transport sector, focusing on optimization, automation, and data-driven decision-making. It likely examines case studies or models where AI steers transp…
1 CUBE
ELEKTRA is a collaborative European project developing electrified reactor technologies for low-carbon ironmaking. It targets energy efficiency, CO2 reduction, renewable electricity integration, and circular use of process carbon. Funded by…
Maryam Naghdizadegan Jahromi, Sébastien Bruno, Marius Le Maréchal +1
This study uses survey data from Québec City households to quantify and spatialize diet-related greenhouse gas (GHG) emissions. By modeling dietary scenarios at the district level, it reveals substantial intra-urban disparities, with distri…
Vladimír Konečný, Karolína Ujlacká, Dominika Jonasíková
This study compares two greenhouse gas (GHG) emission calculation standards for road transport services: EN 16258 and ISO 14083. Using a case study of a Slovak road freight route, emissions were calculated under both standards and with sele…
Amal Alharthi, Ahmad Alomari, Fawwaz Alrwabdah +3
This paper examines how green digital technologies (ERP, cloud, IoT, AI, big data analytics) improve ESG disclosure quality for industrial firms listed on the Amman Stock Exchange. Using panel data from 30 firms (2020-2024) and institutiona…
Ericke Fridatien, Annisa Sila Puspita, Marah Ammar
This bibliometric review of 1,891 Scopus records integrates trends in environmental accounting and corporate disclosure research. Since 2015, rapid growth led by Chinese, U.S., and Australian authors, with strengthening international collab…
Beizhu Wang, Xiaojuan Li
This paper analyzes low-carbon transition pathways for heavy-industry parks using a case study from Fujian, China. It evaluates measures such as energy efficiency, renewable energy deployment, and CCUS, offering policy recommendations for i…
Paul Wolfram, Page Kyle, Nawaf Nazir
This paper presents a multisector dynamics model extending LC-GCAM to trace life-cycle GHG emissions of U.S. fuels, covering all stages from production to consumption. The model captures cross-sector interactions and provides a comprehensiv…
Ali Ahmed, Daniel Nenguke, Filip Dudek
This paper introduces the 'Green Premium Paradox,' where investors pay a premium for ESG-labeled stocks without verifying the truthfulness of sustainability claims. Using behavioral finance, the authors develop a model connecting ESG disclo…
Haoyang Li, Han Hao, Xin Sun +6
This paper provides a high-resolution dataset on costs and GHG emissions for battery recycling in China, enabling evaluation of environmental and economic performance to support decarbonization strategies.
Mohsin Khan, Wendy Ashurst
This paper examines the role of AI in enhancing ESG reporting quality, proposing a sector-specific hybrid governance framework. It finds environmental metrics are more amenable to AI verification, while social and governance disclosures req…
Qiao Wang, Bin Li, Shaojie Kong +1
This study uses double machine learning on panel data from 266 Chinese cities to investigate how digital governance policy upgrades (from IBP to IGS) dynamically propel cities toward carbon neutrality. Findings show that the policy upgrade …
Hieu Thanh Nguyen, Hoa Minh Pham, Anh Thao Nguyen +3
This study examines the impact of ESG disclosure on tax avoidance of 118 Vietnamese non-financial listed firms (2020-2024). Using random effects models, it finds that ESG performance (individual E, S, G pillars and a composite index) is neg…
Mukul, Sandhiya Lakshmanan
This study investigates CO2 capture by glycine, alanine, and serine anions in five solvents using DFT and machine learning. Glycerol emerges as optimal with exothermic enthalpies (-50.8 to -53.7 kcal mol⁻¹). Machine learning identifies a mo…
Jonathan Brandt
This paper provides a model, input data, and results to mitigate business risks from renewable PPA power sourcing uncertainties for European green hydrogen production. It proposes robust system design, regulatory adjustments, and offtake fl…
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