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 2361–2380 of 4286 papers
Vögele S.
This paper examines whether Germany is a frontrunner in the energy system transition within Europe. It likely compares Germany's policies and achievements to those of other European countries, assessing the extent of its leadership.
Essouid W.
This paper reviews the state of the art in assessing Scope 3 emissions from organizational procurement. While reporting frameworks are evolving, challenges in data quality and methodological consistency persist. It highlights the gap betwee…
Nechaieva T.
This paper proposes energy balance modeling methods to simultaneously achieve increased energy independence and reduced greenhouse gas emissions. It analyzes community-level energy balances and explores optimal pathways through policy simul…
Wahyudi H.
This paper examines the effectiveness of carbon tax policies in helping G20 countries achieve net-zero emissions by 2060. It evaluates emission reduction impacts and economic consequences through quantitative analysis or policy comparison.
Küfeoğlu S.
This paper provides an overview of achieving net-zero emissions across global economies, examining policy, technology, and investment dimensions, and comparing country-level efforts.
Cumo F.
This systematic scoping review examines digital twin architectures for energy-efficient buildings and renewable energy communities, focusing on monitoring, demand response, and net-zero readiness. It synthesizes current research and identif…
L. Kang, H. Shao, Minji An +1
This study evaluates the full life-cycle carbon-neutral governance of the Beijing 2022 Winter Olympics, focusing on institutional design, MRV, and environmental legacy. Using official carbon accounting data and public statistics, it finds t…
M. Adisa, A. Abdullai, Shola Oyedeji +1
This study examines how CSRD adoption shapes sustainability leadership and organizational capabilities among ICT firms in Finland through qualitative document analysis. Drawing on institutional theory, it identifies five interrelated mechan…
Adrian Lim, Putri Rahayu
This review synthesizes AI applications across financial time-series forecasting, portfolio construction, and firm-level sustainability analysis, with emphasis on AI-driven ESG rating prediction and disclosure signal extraction. It argues f…
I. Guzov, Zhuldyz R. Babaeva
This paper examines the theoretical and institutional development of sustainability ratings amid growing regulatory pressure on non-financial reporting. It identifies methodological fragmentation due to diverse criteria, scoring scales, and…
János Kálmán
This article develops a conceptual framework linking regulatory dimensions (clarity, supervisory consistency, innovation facilitation) with systemic risk transmission channels (market concentration, data/model risk, regulatory arbitrage, gr…
Christie Azour
This paper demonstrates AI's effectiveness in ESG investing. AI processed ESG documents 1,200 times faster than humans, reduced rating divergence by 34%, detected greenwashing with 83% accuracy, identified climate risks 8-14 months earlier,…
Cristina Caro-González, Daniel Jato-Espino, Yudith Cardinale
This systematic review of 64 studies on integrating ESG factors into financial risk prediction finds that traditional econometrics still dominate (48%), but ML (39%), NLP (8%) are growing. ML models, especially ensemble methods and neural n…
A. Laskin, Vilma Luoma-aho, Alina Arti
This paper conceptualizes corporate washing in ESG discourse within financial communication and investor relations. It defines washing by three conditions: claims perceived as removed from reality, merely symbolic, and reliant on emotional …
Xiao-Xing Cai, Wang Yang, Xiyu Ren +3
This paper proposes a human-AI collaborative framework to enhance the trustworthiness and comparability of sustainability (ESG) ratings. The framework consists of STRIDE (principled criteria and scoring) and SR-Delta (discrepancy analysis),…
Lingyun Zhang
This paper systematically analyzes how corporate ESG performance influences audit fees and audit opinions through theoretical mechanisms and case studies from multiple industries. It finds a dual impact: strong ESG practices reduce perceive…
A. Oussii, Maher Jeriji, K. Chebbi
This study analyzes the relationship between ESG performance and audit fees using a sample of 492 non-financial companies from the STOXX 600 index from 2012 to 2023. Fixed-effects regressions show that higher ESG scores are associated with …
(著者不明)
This paper examines the financialization of sustainability via ESG ratings and market valuation. Using a global panel of 4,200 firms, it finds that ESG rating upgrades yield 2.1% abnormal returns and downgrades -3.4%. Inter-rater disagreeme…
P. Joshi
This systematic review of 39 Scopus-indexed studies (2010-2025) on integrated reporting (IR) reveals research evolution from conceptual to empirical, identifies framework limitations, and proposes a refined multi-capital disclosure model in…
D. Anjaneyalu, M. V. Subramanyam, A. K. N. Rani +3
This paper combines econometric panel-data modeling with machine learning (gradient boosting, explainable AI) to estimate the causal impact of ESG-bond issuance on corporate credit ratings and cost of capital. Findings show ESG-bond issuers…
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