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 2121–2140 of 4172 papers
Ali S.
This paper examines the impact of green finance and innovation on sustainable development using panel data from G7 economies, finding synergistic effects between environmental investment and technological innovation.
Oberthür S.
This paper analyzes the evolution of EU climate policy from emissions trading to the European Green Deal, focusing on policy mix and integration. It examines the role of the EU ETS and policy interactions, offering insights for future clima…
Huang G.N.
This paper analyzes the impact of establishing a carbon trading market in China on emission reductions and the economy. It evaluates the design and early outcomes of the emissions trading system, and considers effects on corporate behavior …
Chu W.
This study uses quantile regression to examine how factors influencing carbon prices vary across different quantiles in China's ETS pilots, revealing nonlinear dynamics in price determinants.
Christensen J.L.
This paper analyzes the role of governance and delegation in climate transparency by European pension funds. It suggests that internal governance and delegation to asset managers are key to improving disclosure.
Iyer R.K.
This study presents a life-cycle greenhouse gas emissions analysis of battery-grade lithium production in Finland. It quantifies emissions from extraction through processing, identifies key hotspots, and supports the potential for low-carbo…
Poorvika N.
This paper proposes a framework integrating AI-powered digital twins and zero-trust security for predictive maintenance of net-zero assets, aiming to enhance grid reliability and optimize renewable energy asset operations.
P. Racho, Boonsita Nammana, N. Tantemsapya +3
This paper evaluates sludge-to-energy pathways in a Thai recycled paper mill over a year. Three options (RDF, anaerobic digestion, hybrid cascade) are compared with techno-economic analysis over 20 years. Results show that APCS costs and el…
Yanyan Ma, Maomao Yu
This paper uses staggered difference-in-differences to examine China's Intelligent Manufacturing Policy's effect on reducing firms' pollution emission intensity relative to export value. It identifies four transmission channels: improved in…
Yifan Duan, Si Zheng, Lihuan Li +2
GHGbench provides an open dataset and benchmark for company- and building-level greenhouse-gas prediction. The company track covers 12,000+ firms with Scope 1+2 and Scope 3 disclosures; the building track harmonizes 491,591 records from 13 …
Dinar Rahayu
This study develops an integrated carbon footprint calculation system model combining GHG Protocol emission scope classification with DEFRA emission conversion factors. Using Design Science Research, it structures activity data, scope class…
Yanming Guo, Charles Guan, Jin Ma
ExioML is an open-source dataset of environmentally extended multi-regional input-output tables for emission factors, covering 49 regions and 28 years (1995-2022). It includes GPU-accelerated computational tools and two aggregation schemes …
C. Gebara, Maria Flora Andersen, E. Simioni +2
This study uses a hypothetical e-methanol case to examine how different policy accounting requirements affect the accuracy of inventory emissions. Hourly energy matching is crucial; without additionality, emissions can be 14-28 times higher…
Nan Jiang, Zeyuan Liu, Zhu Li +4
This paper proposes a power spot market clearing model that relaxes price limits while constraining the average grid price, addressing the failure of narrow price limits under high renewable penetration. Using IEEE 30-bus system and data fr…
Lissy Langer
This study empirically analyzes the impact of the proposed GHG Protocol revision requiring temporal and spatial matching for RECs in scope 2 accounting, using open European data. It finds that the effect varies by country, time of day, and …
Triana Arias Abelaira, María Jesús Guillén Palomino, Lázaro Rodríguez Ariza +1
This study uses a bibliometric approach to analyze 221 articles on climate risk in finance, focusing on the integration of AI techniques. It finds that NLP and digital transformation are key themes, linking AI innovation policies to greenwa…
Le Li, Shuhan Huang, Feng Yan
This review comprehensively surveys fuel cell power systems for maritime decarbonization, covering hybrid fuel-cell/battery architectures, multi-stack power allocation, health-aware energy management, hydrogen storage and safety, lifecycle …
Anuj Pal
This paper uses Large Language Models (LLMs) to evaluate corporate ESG disclosure quality by distinguishing symbolic from substantive sustainability communication. It introduces the Operational ESG Disclosure Coding Framework (OEDCF) and co…
Nikolay Posypanko
This paper proposes CAMF, a format for publishing product carbon footprints together with the computation that produced them. It uses a SHA-256 Merkle root to ensure integrity, allowing any third party to recompute and verify the declared f…
Fengjun Ji, Jingchuan Gao, Xueyi Nie +11
This work develops a silicon-carbon composite with atomic-level confinement of silicon in microporous carbon to mitigate volume expansion. In 2 Ah pouch cells, it achieves 81.2% capacity retention after 1000 cycles with only 11.5% swelling.…
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