| Naslov: | The impact of ESG on business performance : anǂempirical analysis of NASDAQ–NYSE-Listed companies |
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| Avtorji: | ID Herman, Aljaž (Avtor) ID Oplotnik, Žan (Avtor) ID Jagrič, Timotej (Avtor) |
| Datoteke: | https://www.mdpi.com/2071-1050/17/21/9683
RAZ_Herman_Aljaz_2025.pdf (411,40 KB) MD5: 6952B3A01DCBA52E203742FDC4332A8D
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Znanstveno delo |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: | EPF - Ekonomsko-poslovna fakulteta
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| Opis: | This study investigates the relationship between ESG ratings and a firm’s financial performance, focusing on Return on Assets (ROA) and Return on Equity (ROE). Using a combination of stepwise linear regression and feedforward neural networks (FFNN), we assess both the linear and nonlinear effects of ESG on financial performance. The regression models identify ESG as a significant, positively correlated factor in explaining financial performance, alongside firm demographics, sector affiliation, and financial indicators. Neural networks reveal nonlinear dynamics, particularly for ROA, suggesting threshold effects in the ESG–performance relationship. Sensitivity analysis confirms that ESG’s influence strengthens at higher values. Our findings highlight that ESG is not only statistically relevant but also interacts with firm characteristics in complex ways. These results contribute to the ongoing discourse on sustainable finance by showing that ESG can be a meaningful driver of financial outcomes, especially when modeled through nonlinear approaches. |
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| Ključne besede: | ESG, financial performance, ROA, ROE, regression, neural network |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Poslano v recenzijo: | 28.08.2025 |
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| Datum sprejetja članka: | 28.10.2025 |
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| Datum objave: | 30.10.2025 |
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| Leto izida: | 2025 |
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| Št. strani: | str. 1-17 |
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| Številčenje: | Vol. 17, issue 21, [art. no.] 9683 |
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| PID: | 20.500.12556/DKUM-95904  |
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| UDK: | 005.9 |
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| COBISS.SI-ID: | 256244995  |
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| ISSN pri članku: | 2071-1050 |
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| Datum objave v DKUM: | 06.11.2025 |
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| Število ogledov: | 197 |
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| Število prenosov: | 13 |
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| Metapodatki: |  |
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| Področja: | Ostalo
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