Eco-Innovation and Earnings Management: Unveiling the Moderating Effects of Financial Constraints and Opacity in FTSE All-Share Firms

Abstract

Our research investigates the relationship between eco-innovation and earnings management among 567 firms listed on the FTSE All-Share Index from 2014 to 2022. By examining how sustainability-driven innovation influences financial reporting practices, we explore the strategic motivations behind income smoothing in firms engaged in environmental initiatives. The findings reveal a positive association between eco-innovation and earnings management, suggesting that firms may leverage eco-innovation not only for environmental signalling but also to project financial stability and meet stakeholder expectations. The analysis further uncovers that the propensity for earnings management is amplified in firms facing financial constraints, proxied by low Whited-Wu (WW) scores and weak sales performance, and in those characterised by high financial opacity. We employ a robust multi-method approach to address potential endogeneity and selection bias, including entropy balancing, propensity score matching (PSM), and the Heckman Test correction. Our research contributes to the literature by providing empirical evidence on the dual strategic role of eco-innovation—balancing sustainability signalling with earnings management—under varying financial conditions. The findings offer actionable insights for regulators, investors, and policymakers navigating the intersection of corporate transparency, financial health, and environmental responsibility.

Publication DOI: https://doi.org/10.3390/su17114860
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences
College of Business and Social Sciences > Aston Business School > Accounting
Aston University (General)
Additional Information: Copyright © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Publication ISSN: 2071-1050
Last Modified: 18 Mar 2026 08:08
Date Deposited: 17 Mar 2026 17:36
Full Text Link:
Related URLs: https://www.mdp ... 1050/17/11/4860 (Publisher URL)
PURE Output Type: Article
Published Date: 2025-05-25
Accepted Date: 2025-05-20
Authors: Sastroredjo, Probowo Erawan
Ausloos, Marcel
Khrennikova, Polina (ORCID Profile 0000-0002-0749-2437)

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