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 1–13 of 13 papers
M. Noor, M. Sari
This study examines how financial leverage and ESG disclosure influence greenwashing in Indonesian energy sector companies. Results show that high leverage reduces greenwashing due to creditor pressure, while ESG disclosure actually encoura…
A. Davidescu, E. Manta, Ioana Bîrlan +2
This study uses NLP to analyze discrepancies between ESG disclosures and external media coverage for 204 large firms in Central and Eastern Europe, constructing a Greenwashing Severity Index (GSI). It finds moderate greenwashing across sect…
Elsie Hu, Galina Andreeva, Theodor Cojoianu +1
This study constructs a global dataset linking English-language media accusations of corporate greenwashing from 2017-2022 to firm climate performance. It analyzes how net-zero commitments, SBTi entry, and climate underperformance drive acc…
Richard Arhinful, Leviticus Mensah, Halkawt Ismail Mohammed Amin +2
This study examines how earnings management (including greenwashing) affects corporate environmental, social, and economic sustainability under the UK's TCFD reporting mandate. Using 23 years of data from 200 London Stock Exchange non-finan…
Sayali Girish Patankar
This paper proposes a hybrid governance framework combining Explainable AI (XAI) and Natural Language Processing (NLP) to detect greenwashing in ESG reports. By providing interpretable reasoning for each detection, it aims to enhance transp…
Maya Bach, Loredana Loy, Katharine J. Mach +2
This paper analyzes 1,233 environmental claims from the latest sustainability reports and websites (2021–2024) of the world's 33 largest meat and dairy companies. 68% of claims are climate-related, 38% are unverifiable future projections. 1…
Aldís Elfarsdóttir, Markus Pelger, Chase Hikida +3
This study identifies five credibility signals in corporate climate reports using NLP: emissions data parity, third-party verification, reporting consistency, specific language, and specific initiatives. Analyzing 118,724 firm-year observat…
Loso Judijanto, Nurganda Siregar, Rani Eka Arini
This bibliometric analysis maps the intellectual structure of greenwashing and transparency literature from 2000-2024 using Scopus data. Findings show greenwashing remains dominant, while transparency is increasingly linked to digital tools…
Nurpatwikanto, Widyo, Putra, Ihsan Manshur, Fikrianoor, Kahfi
This systematic literature review examines ESG disclosure and greenwashing practices. It finds that while ESG implementation positively influences financial performance and intangible asset valuation, some companies engage in greenwashing b…
George Sklavos, Georgia Zournatzidou, Konstantina Ragazou +1
This study evaluates the alignment between ESG disclosures and actual environmental performance for 365 European financial institutions in 2024. Using PROMETHEE II with entropy weighting, it constructs a Greenwashing Risk Index (GWI). Findi…
Riska Handani, Syahril Djaddang
This paper systematically reviews how four assurance dimensions (existence, provider, level, scope) of sustainability reporting affect greenwashing. Analyzing 20 peer-reviewed articles (2020-2025), it finds that high-quality assurance enhan…
Qihan Sun
This paper examines mechanisms of greenwashing and data manipulation in ESG reporting, proposing forensic accounting as a countermeasure. It introduces a multidimensional verification framework integrating blockchain, AI, and satellite moni…
Nicholas Apergis, Giuseppina Chesini, Thomas Poufinas
This study analyzes factors affecting yields of green bonds issued by European banks. It finds that ESG scores, Scope 1/2/3 emissions, and alignment with climate-related SDGs have a negative impact on yields, while the green bond label and …
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