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 17641–17660 of 20256 papers
Santosh Kumar, Rashi Gupta
This paper examines the role of AI and automation in green finance, covering machine learning for ESG scoring, greenwashing detection, and dynamic portfolio optimization toward green bonds and impact funds aligned with SDGs.
Chen Yang, Yi Yongkang
This study analyzes the coupling coordination of green finance and green consumption in 30 Chinese provinces from 2012 to 2023 using entropy-weighted TOPSIS and other methods. It finds an upward trend but significant regional disparities, w…
(著者不明)
This paper examines the intersection of AI governance, law, policy, and ethics with green finance and ESG. It discusses regulatory frameworks and ethical considerations for AI applications in sustainable finance.
Joseph Bull
This paper argues for the continued use of nature offsets, despite growing controversy. It emphasizes that major frameworks like the Global Biodiversity Framework explicitly include offsets, and that offsets provide crucial funding for natu…
alessandro maresca
This paper critically examines the informational framing of sustainable finance, arguing that financial viability (V1) and biophysical viability (V2) are semantically misaligned. Using Eurosystem collateral eligibility as a case, it shows t…
Bram Noble, Greg Poelzer, Gwen Holdmann +2
Focuses on energy transition in the Arctic region, potentially examining renewable energy and decarbonization efforts. Details are not available.
Selahattin Murat Sirin, Sarah Abuouf, Khaled Alshehri
This paper reviews market arrangements for variable renewable energy in single-buyer models, analyzing grid integration and market design challenges, with policy implications for the energy transition.
Sara Chitsaz, Taylor Behn-Tsakoza, John R. Parkins
This paper examines Indigenous-led energy transition, highlighting community-driven renewable projects and the importance of including Indigenous perspectives in decarbonization efforts.
Noemi Van Meir, Edwin van Hassel, Thierry Vanelslander
This paper presents research on future energy transition scenarios. While no abstract is available, it likely explores pathways for decarbonizing energy systems.
Xavier Simón Fernández
This paper focuses on rural energy communities as a bridge between local action and the clean energy transition. While specific methods and findings are not available from the title, it highlights the importance of community-based approache…
Bram Noble, Greg Poelzer, Gwen Holdmann +2
A comprehensive handbook on energy transition in the Arctic, covering renewable energy, policy, technology, and socio-economic aspects. It provides a multi-faceted analysis of challenges and opportunities for energy transition in the region…
Birgitte Nygaard, Tiril Vold Hansen, Robert Næss +1
This paper examines the process of energy transition in Longyearbyen, Svalbard, a geopolitical hotspot in the Arctic. It explores the feasibility and challenges of a just transition from a local community perspective.
Lassi Similä, Anni Niemi, Hanna Pihkola
This paper explores how local experiences of energy transition can be scaled up and applied more broadly, focusing on the scalability of specific policies and practices.
Rumy Narayan, Annika Laine-Kronberg
This paper explores the concept of agentic learning decentralized autonomous organizations (DAOs) to facilitate sustainable energy transition. It proposes a novel governance model leveraging blockchain and AI for coordination and optimizati…
Zhiwei Fang, Junwei Zhang, Peng Zhu +5
This paper proposes an efficient and stable electrochemical carbon capture system integrating CO2 absorption and regeneration. The method improves energy efficiency and enables stable operation compared to conventional approaches.
Nur Muhammad Fadilah, Binastya Anggara Sekti
This chapter comprehensively explores the application of AI in ESG analytics, including machine learning, NLP, and automation for predictive modeling, objective scoring, and continuous monitoring. It covers applications in banking, fintech,…
Ria Aprilia, Eny Maryanti
This study examines the effect of ESG disclosure on corporate reputation, with financial performance as a mediator and board independence as a moderator. Empirical analysis shows that high-quality ESG disclosure improves financial performan…
Oindrilla Ghosh, Binod Kumar
This paper argues that policy reform and legal innovation are interdependent for a climate-resilient future. ESG frameworks align corporate duties with societal goals but require robust environmental law to avoid greenwashing. A just climat…
Pooja, Saurabh Chandra, Swarnima Gorani +2
This paper examines the legal framework for AI and automation in ESG green investment strategies. It highlights challenges of transparency, data accuracy, and greenwashing, advocating for clear regulatory guidelines.
Soleiman Mohammadi Limaei
This paper examines the strategic integration of CSR and carbon offsetting in financial and accounting practices. Using empirical cases, it analyzes carbon footprint measurement, offset project selection, accounting treatments, and ESG repo…
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