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Environmental, social and governance assets and diversity scores: exploring their relationship to carbon emissions in global companies      
Yazarlar
Mehmet Ali Köseoğlu
Türkiye
Doç. Dr. Hasan Evrim ARICI Doç. Dr. Hasan Evrim ARICI
Kastamonu Üniversitesi, Türkiye
Mehmet Bahri Saydam
Doğu Akdeniz Üniversitesi, Türkiye
Victor Oluwafemi Olorunsola
Özet
Purpose: The interconnected challenges of climate change and social inclusivity have placed unprecedented pressure on businesses to adopt responsible practices. While previous research has explored the individual impacts of environmental, social, and governance (ESG) performance and diversity initiatives, there remains a dearth of comprehensive investigations into how these factors collectively influence carbon emission scores. Drawing on the legitimacy theory, we explore whether ESG and diversity scores predict global companies' carbon emission scores. As concerns about the environmental impact of businesses grow, understanding the relationships between ESG performance, diversity management, and carbon emissions becomes imperative for sustainable corporate practices. Design/methodology/approach: The primary dataset for this study includes 1,268 worldwide firm-year data for 2021. The sample is subjected to missing data examination as a component of the filtration process. Data preprocessing is performed before machine learning analysis, including verifying missing data. Our research resulted in the final sample, which includes 627 worldwide firm data from 2021. Data regarding all publicly traded companies was obtained from Refinitiv Eikon. Findings: Our findings showed that corporate carbon emission performance in global corporations is influenced by ESG performance and total diversity score. Originality/value: Firms involve in ESG as well as diversity practices to be able to achieve sustainable success. Yet, the forecasting of carbon emissions based on ESG scores and diversity scores remains inadequately established due to conflicting findings and enigmas prevalent in the literature.
Anahtar Kelimeler
Carbon emission | Diversity | ESG performance | Global companies | Machine learning
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı MANAGEMENT DECISION
Dergi ISSN 0025-1747
Dergi Tarandığı Indeksler SSCI
Dergi Grubu Q2
Makale Dili İngilizce
Basım Tarihi 05-2024
Sayı 1
Doi Numarası 10.1108/MD-05-2023-0818
Makale Linki http://dx.doi.org/10.1108/md-05-2023-0818