Longitudinal patterns of regulatory violations in chemical corporations.
Unlike criminal career research into the criminal behavior of natural persons, longitudinal research into regulatory violations by corporations is still scant. The few available longitudinal studies mostly suffer from either a small sample size or a short follow-up period, limiting the generalizabil...
| Publicado en: | Crime, Law & Social Change Vol. 83; no. 1; pp. 1 - 32 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
2/20/2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=191133498&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 191133498 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 09254994 CRG jtl: Crime, Law & Social Change issn: 09254994 maglogo: N pubinfo: dt: 2/20/2025 vid: 83 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 191133498 10.1007/s10611-024-10193-3 ppf: 1 ppct: 31 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1MB tig: atl: Longitudinal patterns of regulatory violations in chemical corporations. aug: au: Kluin, Marieke H. A. Blokland, Arjan A. J. Huisman, Wim Peeters, Marlijn P. affil: https://ror.org/027bh9e22 Leiden University, Steenschuur 25, 2311 ES, Leiden, The Netherlands https://ror.org/03124pm05 Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), P.O. Box 71304, 1008 BH, Amsterdam, the Netherlands https://ror.org/008xxew50 Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands su: Netherlands Criminal act Business ethics Chemical industry Longitudinal method Industrial safety laws Pattern perception Inspection & review sug: subj: Criminal act Business ethics Netherlands All Other Basic Organic Chemical Manufacturing Chemical (except agricultural) and allied product merchant wholesalers Other Chemical and Allied Products Merchant Wholesalers Cyclic Crude, Intermediate, and Gum and Wood Chemical Manufacturing Chemical industry Longitudinal method Industrial safety laws Pattern perception Inspection & review keyword: Group-Based Trajectory Modelling Life-course criminology Medical and Health Sciences Public Health and Health Services Regulatory enforcement Seveso corporations White-collar crime Group-Based Trajectory Modelling Life-course criminology Medical and Health Sciences Public Health and Health Services Regulatory enforcement Seveso corporations White-collar crime ab: Unlike criminal career research into the criminal behavior of natural persons, longitudinal research into regulatory violations by corporations is still scant. The few available longitudinal studies mostly suffer from either a small sample size or a short follow-up period, limiting the generalizability of their findings. The present study uses longitudinal data on rule violating behavior of 567 chemical corporations having to comply with the EU Seveso Directive in the Netherlands, derived from yearly inspections (N = 5.975) of the relevant safety, occupational health and environmental agencies between 2007 and 2021. The study aims to gain insight in the patterning of regulatory violations by Dutch Seveso corporations, and the extent to which these patterns are associated with sector and corporate characteristics. The results show that regulatory violation is common among Dutch Seveso corporations. A small minority of chronically violating corporations however, is responsible for a disproportional share of all observed regulatory violations. Using group-based trajectory modelling (GBTM) we distinguish several longitudinal patterns of regulatory violations in our data. Available sector and corporation characteristics are found to be only weakly associated with the patterns of regulatory violations identified. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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