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 26021–26040 of 32064 papers
Eladio Jimenez Espadafor Sardon, P. Christidis
This study estimates the production costs of synthetic maritime fuels (hydrogen, ammonia, methanol, methane) along the Global Gateway Green Shipping Corridors in Africa, Latin America, and Asia. Using PyPSA, it benchmarks 250 locations, fin…
V.V. Shkromyda, T. Gnatiuk, Alina Hrubelias
This paper compares non-financial reporting models in Switzerland, UAE, Chile, Singapore, and Indonesia, finding that institutional incentive configurations determine effectiveness, not formal obligation. It proposes an integration model fo…
Anggun Permata Husda, Nur Inda Sari, Sari Budiarti
This study examines the impact of green accounting and ESG disclosure on sustainability performance using data from 7 agriculture companies listed on the Indonesia Stock Exchange (2020-2024). Multiple regression analysis shows both green ac…
Thevan Kumar, Tan Seng Teck, L. S. Geok +4
This paper critically examines whether ESG indices provide a perfect measure of corporate responsibility. Through analysis of Apple and Volkswagen cases, it identifies strengths (transparency, sustainability integration) and limitations (in…
Tatiyna Butenko, V. Butenko
This paper argues that Luca Pacioli's double-entry principle remains vital for ensuring reliability and internal control in mandatory sustainability reporting under ESRS, focusing on Ukraine. It provides practical examples of applying doubl…
D. Leshchenko
This paper specifies the role of internal audit in ensuring reliability and transparency of sustainability reporting in aviation enterprises. It systematizes key ESG indicators (CO2, green fuel, noise) and proposes an internal audit matrix …
Ibham Veza, T. W. Riyadi, Sri Mumpuni Ngesti Rahaju +3
This study performs techno-economic optimization of PV-hydrogen systems in five Indonesian cities (Jakarta, Bandung, Surabaya, Medan, Makassar). Results show distinct geographical differences: Makassar and Surabaya achieve the lowest leveli…
V. Heggade
This paper proposes an ILCCA framework combining lifecycle economic cost and monetized carbon cost into a unified metric. A case study of two bridge alternatives shows that concrete has lower integrated cost, but higher carbon price narrows…
Sebastian Steinmeier, Chantal Rietdorf, Michael Rentschler +1
This paper proposes a strategic framework for effectively managing Scope 3 emissions in industrial supply chains, focusing on procurement processes. It integrates emission reduction into supplier engagement and collaboration, providing prac…
Fang Yang, Sisi Zhang
This study investigates the nonlinear causal relationship between industrial robot imports and renewable energy transition in Belt and Road countries using a Panel Smooth Transition Regression (PSTR) model. It examines heterogeneity across …
Jiyou Yuan, Yun Wang
This study investigates how long-term nitrogen inputs affect soil microbial communities and carbon cycling in subtropical forests, finding reduced carbon emissions and enhanced soil carbon sequestration, offering insights for forest managem…
Qianhui Wu, Rongda Zhang, L Y Zhou +10
This paper proposes an integrated multi-technology mitigation decision framework to optimize China's coal power transition pathways. It explores how combining different technology options can balance costs and emission reductions, offering …
Shuai Wang, Yanjun Chang
This study uses double machine learning to analyze the impact of China's new energy demonstration city policy on energy transition, finding that multi-stakeholder collaboration enhances policy effectiveness.
Seyedeh Azadeh Alavi-Borazjani, Dr Muhammad Noman Shafique, Shehar Yar Khan
This paper reviews the application of AI (machine learning, deep learning, reinforcement learning) to enhance CCUS processes including capture, utilization, and storage. It identifies benefits such as optimization, materials discovery, and …
Gulsanam Тursunova, Farrukh Atabaev, Gulrukh Begzhanova +4
This paper investigates the thermal activation of local margels from Karakalpakstan to enhance pozzolanic properties for low-carbon composite Portland cement. The study contributes to cement decarbonization by utilizing regional materials a…
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…
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