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 11141–11160 of 17169 papers
Rui Feng
The advancement of global climate governance and China's 'dual carbon' strategy have highlighted the importance of corporate environmental social responsibility. In the context of a low-carbon economy, enterprises should foster low-carbon p…
Tatsuya Doi
This paper reviews research and development on applied magnetics technologies in energy conversion systems, discussing their potential to contribute to carbon neutrality. It highlights how high-efficiency motors and generators can reduce CO…
Krishnashis Das, Subhrakamal Banerjee
This report analyzes Citigroup's FY2023 ESG performance using official reports and third-party ratings, with 26 data visualizations. Key findings include $441 billion in cumulative sustainable finance, 49% reduction in Scope 2 emissions (ex…
João Vyctor Brás dos Santos, Tiago F. A. C. Sigahi, Deoclécio Júnior Cardoso da Silva +4
This study evaluates the maturity of supplier-related environmental disclosures in sustainability reports of top ESG-performing Brazilian firms. Using CRITIC weighting and Grey Fixed Weight Clustering on 67 reports, it finds that nearly 60%…
Huajian Jiang
ESG-DocQA is a validated benchmark dataset for evidence-grounded question answering over corporate ESG reports. It includes 300 samples, annotation guidelines, and experimental results, focusing on document-image grounding. The dataset is a…
Matia Mainardis, Tina Kegl
The revision of the European Urban Wastewater Treatment Directive introduces energy neutrality for WWTPs. This paper reviews technical options: enhanced anaerobic digestion for large plants, PV and hydro for medium plants, and hybrid system…
Anna Wildowicz-Szumarska, Katarzyna Kocur-Bera
This paper outlines environmental taxation from a climate justice perspective, recommending tax policy changes to combat climate change and facilitate a green transition. A survey confirms that tax burdens must be fairer, targeting the rich…
Alperen Yayla, Augustin Danneaux, Estelle Schurer +5
This study uses dynamic life cycle assessment to compare climate impacts of timber vs. reinforced concrete urban buildings. Timber cities can reduce global temperature by up to 0.023 K by 2100, but poor forest regrowth, landfill gas, and in…
Katharina Rzepucha-Hlubek
This study investigates purchase intention for plug-in solar devices (PSD) using an extended Theory of Consumption Values. By adding environmental and autarky values, the model explains 64.4% of variance. Functional price, conditional, epis…
Constantinos Yiallourides, Alexander Proelß, Lennart Westmark
This paper examines the environmental regulation of sub-seabed CO2 storage under UNCLOS, focusing on 'global rules and standards', due diligence, EIA, and the precautionary approach. It highlights legal challenges for CCUS deployment and st…
Ilyas Masudin, Dian Palupi Restuputri, Dwi Iryaning Handayani +1
This study integrates BWM and DEA to analyze second-life EV battery ecosystems in emerging economies. Technical (28.4%) and economic (24.9%) barriers are top priorities, and configurations with formal reverse logistics and certification ach…
Aleksandra Nocoń
This paper provides a theoretical analysis of how central banks can integrate climate issues into monetary policy. Based on a systematic literature review, it reveals tensions between risk-based and interventionist approaches, concluding th…
Abdullahi Umar Nasiru, Binibor Mary-Ann Ekomerenren, Abdul Salam Abdul Fattah +2
This study explores AI applications for optimizing renewable energy systems in Nigeria. Machine learning and predictive analytics improve demand forecasting, grid stability, and maintenance efficiency, reducing carbon emissions. Challenges …
Bibek Bhatta
This paper argues that Levelised Cost of Electricity (LCOE) is unreliable for comparing generation technologies or assessing transition costs, citing inconsistent discount rates, omitted technologies, and fixed carbon price assumptions. It …
Debashish Dev, Katherine Witt
Analyzing 244 submissions to Australia's Future Gas Strategy, this study develops a narrative framework identifying four stakeholder groups with competing assumptions about responsibility, timing, fairness, and legitimacy. It reveals a temp…
Xingjin Wang, Peter Cook, Yudong Yuan +1
This paper explores compressed air energy storage (CAES) in geological voids as a long-duration large-scale storage option for Australia's energy transition. Focusing on Queensland, it identifies legislative gaps in petroleum and minerals a…
Ella Hughes, Zeke Hausfather, Randall Spock +1
This paper proposes an accounting approach for neutralizing the warming response to emissions by combining emissions abatement and carbon dioxide removal (CDR) with varying durability. The approach translates climate impacts into a single m…
David Close, I Gde Agung Chandra Satriya, Chelsea Golding +2
Using China's unofficial ban on Australian coal imports from 2020–2023, this paper tests the market substitution argument (MSA). It finds that China substituted Australian coal with imports from Indonesia, Russia, and Mongolia, and boosted …
Jorge Lucero-Álvarez
This paper proposes a strategic leapfrogging approach to Positive Energy Districts (PED) in rapidly growing Global South cities, bypassing building-level steps. Using Chihuahua, Mexico as a case study, it shows that combined energy efficien…
Xiao Li
Existing renewable subsidy schemes are designed against static capacity configurations, ignoring how incentives propagate through dispatch to deliver carbon abatement. This paper develops an integrated optimization framework that endogenize…
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