Determinants and forecasting of corporate greenwashing behavior

  • This paper empirically analyzes the determinants of corporate greenwashing behavior to enhance forecasting and mitigation of greenwashing practices, particularly in the context of stakeholder decision-making. Using company-level characteristics from a sample of STOXX Europe 600 constituents, we show that ESG and environmental (E) scores exhibit a U-shaped relationship with greenwashing, indicating that companies with both low and high (E)SG scores are more likely to engage in greenwashing. Additionally, ESG disclosure score, company size, cash-to-assets, and capital intensity are positively associated with greenwashing behavior. Furthermore, greenwashing behavior is more prevalent in consumer-related industries than in other industries. Building on the identified determinants of greenwashing behavior, we develop machine learning models grounded in economic theory to forecast greenwashing risk. Overall, our analyses demonstrate how current and future greenwashing risks can beThis paper empirically analyzes the determinants of corporate greenwashing behavior to enhance forecasting and mitigation of greenwashing practices, particularly in the context of stakeholder decision-making. Using company-level characteristics from a sample of STOXX Europe 600 constituents, we show that ESG and environmental (E) scores exhibit a U-shaped relationship with greenwashing, indicating that companies with both low and high (E)SG scores are more likely to engage in greenwashing. Additionally, ESG disclosure score, company size, cash-to-assets, and capital intensity are positively associated with greenwashing behavior. Furthermore, greenwashing behavior is more prevalent in consumer-related industries than in other industries. Building on the identified determinants of greenwashing behavior, we develop machine learning models grounded in economic theory to forecast greenwashing risk. Overall, our analyses demonstrate how current and future greenwashing risks can be effectively assessed. This enables stakeholders such as investors and policymakers to better identify corporate greenwashing behavior and incorporate the associated risks into their decision-making.show moreshow less

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Metadaten
Author:Jens Eckberg, Gregor DorfleitnerORCiDGND, Manuel C. KathanORCiDGND, Sebastian UtzORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1269259
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/126925
ISSN:0167-2681OPAC
Parent Title (English):Journal of Economic Behavior & Organization
Publisher:Elsevier BV
Place of publication:Amsterdam
Type:Article
Language:English
Year of first Publication:2026
Publishing Institution:Universität Augsburg
Release Date:2025/12/10
Volume:241
First Page:107354
DOI:https://doi.org/10.1016/j.jebo.2025.107354
Institutes:Wirtschaftswissenschaftliche Fakultät
Fakultätsübergreifende Institute und Einrichtungen
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre
Fakultätsübergreifende Institute und Einrichtungen / Zentrum für Klimaresilienz
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre / Professur für Finanzwirtschaft mit dem Schwerpunkt Climate Finance
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung