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 2341–2360 of 4249 papers
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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…
Fahad Ullah Khan, Asad Amin
This review comprehensively surveys FinTech applications (AI, ML, big data, blockchain) in ESG scoring, climate risk assessment, and green bonds. It highlights how digital tools improve efficiency and data coverage while addressing challeng…
Thierry Warin, Christophe Bisson
This paper longitudinally compares scenario knowledge representation across IPCC synthesis reports from AR1 to AR6 using a RAG pipeline. Early reports relied on qualitative conditional reasoning; later reports increasingly used quantitative…
Chong Zhang
This paper proposes a digital management platform for corporate carbon emissions using a cloud-edge-end distributed architecture, integrating IoT and AI for automatic aggregation, precise calculation, and intelligent analysis. It establishe…
Kristina Radinović, P. Branco, Nevena Milutinović-Mehri +4
This review synthesizes the latest methods for physical, solid-state, and geological hydrogen storage, analyzing trade-offs among gravimetric/volumetric densities, efficiency, maturity, and scalability to guide technology selection for appl…
Bingying Ma, Seiichi Ogata
This paper conducts a cluster analysis of 123 countries based on electrification, energy security, and equity, identifying diverse transition contexts. It highlights the need for tailored policy approaches depending on national characterist…
Sini Guo, Mengzi Yin, Wai-Ki Ching
This paper proposes a network-based method for online portfolio selection that incorporates ESG scores. It leverages machine learning to integrate ESG criteria into investment decisions, offering a dynamic approach to sustainable portfolio …
Ida Bagus Kerthyayana Manuaba, Juwono -
This paper presents the DCM Corpus, a pipeline and dataset for measuring digital capability from multilingual corporate annual and sustainability reports of Asian listed companies. It applies paragraph-level scoring using a multilingual dic…
Elçin DALKILIÇ, Murat Kesebir
This study compares Turkey's Sustainability Reporting Standards (TSRS) with the EU's CSRD/ESRS in the banking sector, analyzing 2024 sustainability reports of BBVA and ING's Turkish subsidiaries and European parents. It finds a structural d…
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