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 2221–2240 of 4137 papers
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…
Ming Yang
Using Chinese A-share listed firms from 2014-2023, this study employs difference-in-differences to analyze the impact of green bond issuance on ESG ratings. Issuance significantly improves ESG ratings through enhanced information transparen…
Jian Yu
This review organizes research on ESG and corporate finance into five transmission channels: information, risk management, stakeholder relations, innovation, and capital allocation. Focusing on credible identification, it finds that ESG val…
Károly Gasteiger
This essay examines measurement limitations of ESG ratings as financial information. It argues that composite ESG scores are not stable risk factors but information signals shaped by provider methodologies. It discusses the disclosure-outco…
Tanja Keeve
Using the UK gender pay gap disclosure mandate, this paper shows that mandatory ESG disclosure regulations spill over to unregulated firms via ESG rating peer benchmarking. Unregulated firms with ESG ratings similar to regulated peers are m…
Chen Sijia, Yangfan Liu, Muhammad Arif
This study examines how ESG rating disagreements affect corporate environmental investment using Chinese A-share non-financial firm panel data. It finds that greater disagreement is associated with higher environmental investment, mediated …
Dharmendra Singh, Garima Malik, Moez Ben Yedder
This study systematically reviews 164 articles on ESG rating disagreement using bibliographic coupling and TCCM framework. It identifies six research clusters, maps causes and consequences, and proposes an integrated conceptual model. The f…
R. M. Ellahi, J. Qureshi, M. H. Farooqui +2
This study proposes two pathways for generative AI to enhance supply chain sustainability: automated reporting and predictive analytics. PLS-SEM analysis shows predictive analytics is the strongest predictor, with regulatory pressure and su…
Kerstin Forster, Lucas Keil, Victor Wagner +3
This paper develops a machine learning framework to extract ESG indicators from corporate reports, applied to 600 large European firms (2014-2023). It reveals a transparency gap between high and low ESG-rated firms, narrowing over time, and…
Dongxin He, Linhan Jiao, Jingyi Yang +1
This paper examines the impact of carbon information disclosure quality on corporate risk-taking in China using a five-dimensional vectorized text index from ESG, CSR, and sustainability reports of A-share listed firms (2007-2023). Higher-q…
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