Selection Bias in <scp>ESG</scp> Reporting: Implications for Environmental Performance and Firm Valuation

ABSTRACT This paper investigates the relationship between environmental performance and firm valuation, accounting for the strategic nature of ESG disclosure. Using a panel of Italian listed firms (2013–2023), we implement a two‐step Heckman correction model to address self‐selection bias in environmental reporting. Our analysis reveals that firms with stronger governance structures—especially board attendance, independence, and CSR committees—are more likely to disclose environmental data. Correcting for this bias, we find a positive and significant association between environmental commitment and Tobin's Q. The results are robust across different thresholds of environmental commitment. These findings highlight the financial relevance of environmental responsibility and underscore the need for supportive policies in mandatory ESG disclosure regimes. Without addressing self‐selection, naïve estimates would systematically underestimate the true economic value of environmental engagement. JEL Classification: G30, Q56, M14, C24, G32.

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Publication Details

Journal
Corporate Social Responsibility and Environmental Management
Published
2026-01-21
DOI
https://doi.org/10.1002/csr.70425
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
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article

Selection Bias in ESG Reporting: Implications for Environmental Performance and Firm Valuation

Massimiliano Cerciello, Simone Taddeo, Massimiliano Agovino
Corporate Social Responsibility and Environmental Management
Corporate Social Responsibility Reporting
article

Selection Bias in ESG Reporting: Implications for Environmental Performance and Firm Valuation

Massimiliano Cerciello, Simone Taddeo, Massimiliano Agovino
article en

Abstract

ABSTRACT This paper investigates the relationship between environmental performance and firm valuation, accounting for the strategic nature of ESG disclosure. Using a panel of Italian listed firms (2013–2023), we implement a two‐step Heckman correction model to address self‐selection bias in environmental reporting. Our analysis reveals that firms with stronger governance structures—especially board attendance, independence, and CSR committees—are more likely to disclose environmental data. Correcting for this bias, we find a positive and significant association between environmental commitment and Tobin's Q. The results are robust across different thresholds of environmental commitment. These findings highlight the financial relevance of environmental responsibility and underscore the need for supportive policies in mandatory ESG disclosure regimes. Without addressing self‐selection, naïve estimates would systematically underestimate the true economic value of environmental engagement. JEL Classification: G30, Q56, M14, C24, G32.

Corporate Social Responsibility and Environmental Management
Parthenope University of Naples (IT), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT)
Openalex Percentile: Top 83%
Corporate Social Responsibility Reporting
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