Nonlinear Insights Into the ESG–Crash Risk Dynamics From a Machine Learning Perspective: Evidence From an Emerging‐Transition Market.
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| Title: | Nonlinear Insights Into the ESG–Crash Risk Dynamics From a Machine Learning Perspective: Evidence From an Emerging‐Transition Market. |
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| Authors: | Thompson, Ephraim Kwashie1 (AUTHOR) kwatom002@kookmin.ac.kr |
| Source: | Corporate Social Responsibility & Environmental Management. Jan2026, Vol. 33 Issue 1, p381-398. 18p. |
| Database: | Environment Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: eih DbLabel: Environment Complete An: 190646592 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=190646592 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/csr.70184 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 381 Titles: – TitleFull: Nonlinear Insights Into the ESG–Crash Risk Dynamics From a Machine Learning Perspective: Evidence From an Emerging‐Transition Market. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thompson, Ephraim Kwashie IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15353958 Numbering: – Type: volume Value: 33 – Type: issue Value: 1 Titles: – TitleFull: Corporate Social Responsibility & Environmental Management Type: main |
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