Assessing Firm ESG Performance Through Corporate Survival: The Moderating Role of Firm Size

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE International Review of Financial Analysis Pub Date : 2025-02-05 DOI:10.1016/j.irfa.2025.103973
Massimo Postiglione, Cristian Carini, Alberto Falini
{"title":"Assessing Firm ESG Performance Through Corporate Survival: The Moderating Role of Firm Size","authors":"Massimo Postiglione,&nbsp;Cristian Carini,&nbsp;Alberto Falini","doi":"10.1016/j.irfa.2025.103973","DOIUrl":null,"url":null,"abstract":"<div><div>This study explores the relationship between Corporate Survival (CS), measured through both an accounting-based model (Altman Z-Score) and a market-based model (Merton Distance to Default), and ESG performance, measured through Refinitiv ESG ratings. Based on an IQR-normalized sample of data from non-financial companies listed on the STOXX 600 European index, the study conducted a fixed-effects regression analysis on data collected from 2015 to 2023, using both an overall sample and a regional classification methodology (Northern, Central, and Southern Europe). The initial findings indicated an overall negative and significant relationship between Z-Score and ESG performance, and a positive but non-significant relationship between the latter and Merton DD. However, incorporating the natural logarithm of total assets as a firm size measure within the fixed-effect regression analysis drastically changed these relationships, resulting in an overall positive and significant effect for both models, suggesting that higher CS levels involve superior ESG performance. Moreover, the moderating effect of firm size enabled a combined approach, as both CS measures were capable of being incorporated within the same regression model. However, even if this condition applies for all European regions, the Southern one showed some peculiarities that offsets the results obtained on both Northern and Central companies. Based on these findings, we conducted a Principal Component Analysis (PCA) to explore how this effect could serve as a valuable tool for better understanding ESG performance. This approach provided evidence that both accounting-based and market-based default risk prediction models can be used together for a better understanding of the relationship between ESG performance and CS if the moderating effect of firm size is controlled for.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"100 ","pages":"Article 103973"},"PeriodicalIF":9.8000,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521925000602","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

This study explores the relationship between Corporate Survival (CS), measured through both an accounting-based model (Altman Z-Score) and a market-based model (Merton Distance to Default), and ESG performance, measured through Refinitiv ESG ratings. Based on an IQR-normalized sample of data from non-financial companies listed on the STOXX 600 European index, the study conducted a fixed-effects regression analysis on data collected from 2015 to 2023, using both an overall sample and a regional classification methodology (Northern, Central, and Southern Europe). The initial findings indicated an overall negative and significant relationship between Z-Score and ESG performance, and a positive but non-significant relationship between the latter and Merton DD. However, incorporating the natural logarithm of total assets as a firm size measure within the fixed-effect regression analysis drastically changed these relationships, resulting in an overall positive and significant effect for both models, suggesting that higher CS levels involve superior ESG performance. Moreover, the moderating effect of firm size enabled a combined approach, as both CS measures were capable of being incorporated within the same regression model. However, even if this condition applies for all European regions, the Southern one showed some peculiarities that offsets the results obtained on both Northern and Central companies. Based on these findings, we conducted a Principal Component Analysis (PCA) to explore how this effect could serve as a valuable tool for better understanding ESG performance. This approach provided evidence that both accounting-based and market-based default risk prediction models can be used together for a better understanding of the relationship between ESG performance and CS if the moderating effect of firm size is controlled for.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过企业生存评估企业ESG绩效:企业规模的调节作用
本研究探讨了通过基于会计的模型(Altman Z-Score)和基于市场的模型(Merton Distance to Default)衡量的企业生存(CS)与通过Refinitiv ESG评级衡量的ESG绩效之间的关系。基于欧洲STOXX 600指数非金融公司的iqr归一化数据样本,该研究使用整体样本和区域分类方法(北欧、中欧和南欧)对2015年至2023年收集的数据进行了固定效应回归分析。最初的研究结果表明,Z-Score与ESG绩效之间总体上呈显著负相关,后者与Merton DD之间呈显著正相关。然而,在固定效应回归分析中,将总资产的自然对数作为企业规模的衡量标准,极大地改变了这些关系,导致两个模型总体上都呈现出显著的正相关。表明CS水平越高,ESG表现越好。此外,企业规模的调节效应使组合方法成为可能,因为两种CS措施能够被纳入同一回归模型。然而,即使这种情况适用于所有欧洲地区,南部地区的情况也显示出一些特殊性,抵消了北部和中部公司的结果。基于这些发现,我们进行了主成分分析(PCA),以探索这种影响如何成为更好地理解ESG绩效的有价值的工具。该方法提供的证据表明,如果控制了企业规模的调节作用,基于会计和基于市场的违约风险预测模型可以一起使用,以便更好地理解ESG绩效与CS之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
期刊最新文献
Monetary policy surprises and the cross sectional stock return predictability in volume sorted portfolios The yield curve strikes back: New evidence of its predictive power for economic activity and inflation The impact of climate policy uncertainty on corporate investment The Crypto Risk Composite Index (CCRI)-advancing risk management in the digital asset space Crypto factor zoo (.Zip)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1