EARNINGS MANAGEMENT AMONG INDUSTRIES: BETWEEN THE OLD AND NEW ECONOMIES.
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| Title: | EARNINGS MANAGEMENT AMONG INDUSTRIES: BETWEEN THE OLD AND NEW ECONOMIES. |
|---|---|
| Authors: | SADOWSKI, Adam1, COMPOREK, Michał2, OSIŃSKA, Magdalena3, WALIŃSKA, Ewa4, ENGELSETH, Per5 pen008@uit.no |
| Source: | Technological & Economic Development of Economy. 2025, Vol. 31 Issue 2, p364-387. 24p. |
| Subjects: | Earnings management, Industrial management, Statistical significance, Industrial concentration, Evidence gaps |
| Abstract: | This paper investigates sectoral prevalence and patterns of accrual-based earnings management in public companies listed on the Warsaw Stock Exchange. This research introduces a novel perspective by analysing differences in discretionary accruals proxies among industries, with particular emphasis on statistical variation of the earnings management through accruals in the old and new economies companies. Moreover, this paper fills a research gap in the literature regarding a shortfall of broader analyses on the industry-specific attributes explaining earnings management behaviours. Our findings confirmed that the extent of accrual-based earnings management in public companies varies significantly depending on the industry in which they operate. We demonstrated that companies from the new economy industries and those operating in less concentrated markets engaged in accrual-based earnings management practices more than others. On the other hand, we did not find a statistically significant relationship between the accounting-type earnings management and company-specific product market power from the perspective of the pooled sample and subsamples characterized by the specific directions of earnings games. [ABSTRACT FROM AUTHOR] |
| Copyright of Technological & Economic Development of Economy is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 183995578 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: EARNINGS MANAGEMENT AMONG INDUSTRIES: BETWEEN THE OLD AND NEW ECONOMIES. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22SADOWSKI%2C+Adam%22">SADOWSKI, Adam</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22COMPOREK%2C+Michał%22">COMPOREK, Michał</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22OSIŃSKA%2C+Magdalena%22">OSIŃSKA, Magdalena</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22WALIŃSKA%2C+Ewa%22">WALIŃSKA, Ewa</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22ENGELSETH%2C+Per%22">ENGELSETH, Per</searchLink><relatesTo>5</relatesTo><i> pen008@uit.no</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technological+%26+Economic+Development+of+Economy%22">Technological & Economic Development of Economy</searchLink>. 2025, Vol. 31 Issue 2, p364-387. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Earnings+management%22">Earnings management</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+management%22">Industrial management</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+significance%22">Statistical significance</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+concentration%22">Industrial concentration</searchLink><br /><searchLink fieldCode="DE" term="%22Evidence+gaps%22">Evidence gaps</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper investigates sectoral prevalence and patterns of accrual-based earnings management in public companies listed on the Warsaw Stock Exchange. This research introduces a novel perspective by analysing differences in discretionary accruals proxies among industries, with particular emphasis on statistical variation of the earnings management through accruals in the old and new economies companies. Moreover, this paper fills a research gap in the literature regarding a shortfall of broader analyses on the industry-specific attributes explaining earnings management behaviours. Our findings confirmed that the extent of accrual-based earnings management in public companies varies significantly depending on the industry in which they operate. We demonstrated that companies from the new economy industries and those operating in less concentrated markets engaged in accrual-based earnings management practices more than others. On the other hand, we did not find a statistically significant relationship between the accounting-type earnings management and company-specific product market power from the perspective of the pooled sample and subsamples characterized by the specific directions of earnings games. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Technological & Economic Development of Economy is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3846/tede.2025.23117 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 364 Subjects: – SubjectFull: Earnings management Type: general – SubjectFull: Industrial management Type: general – SubjectFull: Statistical significance Type: general – SubjectFull: Industrial concentration Type: general – SubjectFull: Evidence gaps Type: general Titles: – TitleFull: EARNINGS MANAGEMENT AMONG INDUSTRIES: BETWEEN THE OLD AND NEW ECONOMIES. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: SADOWSKI, Adam – PersonEntity: Name: NameFull: COMPOREK, Michał – PersonEntity: Name: NameFull: OSIŃSKA, Magdalena – PersonEntity: Name: NameFull: WALIŃSKA, Ewa – PersonEntity: Name: NameFull: ENGELSETH, Per IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20294913 Numbering: – Type: volume Value: 31 – Type: issue Value: 2 Titles: – TitleFull: Technological & Economic Development of Economy Type: main |
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