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 1041–1060 of 28418 papers
Chia-Ho Wu, Zheng Hui Phua, Wei Ping Chan +1
This work engineers municipal solid waste gasification slag into a low-carbon binder via mechanical and alkaline activation. It points to reusing waste residues as cement substitutes, potentially cutting embodied carbon in construction mate…
Marco Precoma, Simone Guffanti, Martin Baumgärtl +1
Electrically heated reforming enables low-steam reforming of CO2-rich methane over conventional Ni catalysts by minimizing radial temperature gradients. Thermodynamic and kinetic calculations show no carbon formation potential at S/C=1.2, C…
Mingyuan CHEN, Yang Youhui, Zheng Wenbin +3
This paper proposes a low-carbon day-ahead joint electricity-heat market-clearing model for integrated energy systems, coordinating CHP units, gas boilers, wind, PV, grid transactions, and shiftable demand. Using a 96-period linear-programm…
Nerijus Striūgas, Aurimas Lisauskas, Gintaras Petrauskas
A techno-economic comparison of flexible low-carbon routes for glass melting, weighing electrification, hydrogen, and CCUS options on cost and feasibility. It informs decarbonization pathway decisions in a hard-to-abate industrial sector.
Johannes Hartlieb, NEFI New Energy for Industry
Austria's revised electricity framework opens new options for firms to cut energy costs and advance industrial decarbonization. A NEFI Technology Talk presents practical solutions—dynamic grid access, direct lines, PPAs, bidirectional charg…
Amrita Bhadoriya, Mrudul Y. Jani, Rachit Jain
This study develops a reinforcement learning model to optimize a circular aluminium recycling supply chain under a dynamic carbon cap-and-trade scheme and stock-dependent green demand. It jointly handles volatile carbon prices and demand un…
Hailing Lai, Chong Du, Qing Ru +1
Combining CMIP6, PLUS, and InVEST, this study models six 2032 scenarios for Heilongjiang Province. Water yield rises (higher under SSP585) while carbon storage declines. Cropland protection maximizes water yield; ecological conservation max…
Muhammad Fayez, Fatima Sana, Khan Laiba +1
Replication package for a study examining trade responses to the start of the EU Carbon Border Adjustment Mechanism (CBAM). Using public data from Eurostat Comext, UN Comtrade, and CEPII BACI, it tests whether importers front-loaded shipmen…
Samuel Pienknagura
IMF study using comprehensive climate-policy and LCT-trade databases shows new climate policies significantly raise low-carbon technology imports; all policies except non-binding ones stimulate imports. Tariff cuts strongly boost LCT diffus…
Saifullah Saifullah, Nafi’ Inayati Zahro, Alfiyani Nur Hidayanti
Using 140 observations from 28 Indonesian consumer non-cyclical firms (2020–2024), this study tests how sustainability report disclosure, environmental performance, capital structure, and ESG disclosure affect firm value, with firm size as …
Agus Munandar
A bibliometric mapping of 277 Scopus-indexed articles (2000-2026) using Bibliometrix and VOSviewer traces how AI entered accounting research. Publication surged after 2021 around auditing, generative AI/LLMs, blockchain, and machine learnin…
Mansi Sudhir Kadam
This paper examines how AI can strengthen the link between ESG and financial reporting through data processing, anomaly detection, disclosure preparation, forecasting and digital reporting. Drawing on IFRS S1/S2, the IFRS Sustainability Dis…
Merve Erol, Meral Korkmaz, Alban Kuriqi
Using IPCC Tier 1 methodology, this study estimates 2022 energy-related CO2 emissions for Tunceli Province, Eastern Türkiye, at 288.47 Gg CO2-eq/yr. Indicative forest gross uptake (275–689 Gg CO2/yr) is of the same order of magnitude as emi…
Joseph Obbo, Julius Butime, K.V. Rop +3
This dataset provides hourly data and input files for analyzing Kenya's energy futures from 2020 to 2050, incorporating sectoral coupling and cooking fuels. It includes results for BAU, GVT, and low-emissions scenarios across three temporal…
Alexandra Madalina Bujor, Eugen Victor Cristian Rusu, Ana-Maria Chiroșcă
This study assesses renewable energy potential for floating offshore structures in European seas using a curated project dataset. It documents rapid growth in floating offshore wind alongside emerging floating PV and hybrid wave-wind-solar …
Budi Harsoyo, Rizaldi Boer, Edvin Aldrian +2
This study evaluates preventive Weather Modification Technology (WMT) for peatland fire prevention in Indonesia over 2016–2025. Using Difference-in-Differences, hotspots fell ~80% in Sumatra and ~69% in Kalimantan, with burned area down ~71…
Xiaomin Li, Kiyoung Jeon
Using Chinese manufacturing firm data (2007–2022), this study examines how firm characteristics, environmental regulation, and GVC participation affect carbon productivity. Leverage, liquidity, and ROA are positive; internationalization is …
Soumili HALDER
This conceptual piece challenges the assumption that digitizing operations makes a corporation sustainable. It argues the environmental cost of digitalization is not eliminated but relocated and rendered invisible—data centres, cloud server…
John Amoah-Nuamah, Emmanuel Yeboah Okyere, Osman Adams +1
A PRISMA-S review of ~95 studies (2010–2026) synthesizes how AI, machine learning, and deep learning are applied to forest-carbon assessment and climate mitigation. AI expands capacity for biomass estimation, carbon-stock mapping, flux mode…
Lai Yiu Tong, Zhiwei Li, Cheolhee Yoo +3
A dataset quantifying building- and district-scale rooftop solar potential in Hong Kong, with lifecycle carbon breakdowns (manufacturing, maintenance, transport, decommissioning) and multi-scenario financial and carbon paybacks under low (H…
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