Green Grease: Environmental Crime, Corruption and Money Laundering.
We offer a theoretical and empirical analysis that shows how corruption can be a 'green grease' that facilitates both environmental crimes and money laundering. Corruption can be an accelerator that amplifies the multiplier effect on illegal revenues. We model these relationships using a logistic fu...
| Publicado en: | Kyklos Vol. 78; no. 3; pp. 991 - 1007 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Aug2025
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| 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=186313213&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 186313213 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00235962 KYK jtl: Kyklos issn: 00235962 maglogo: Y pubinfo: dt: Aug2025 vid: 78 iid: 3 pid: 480 pub: Wiley-Blackwell artinfo: ui: 186313213 10.1111/kykl.12455 ppf: 991 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 1.1MB tig: atl: Green Grease: Environmental Crime, Corruption and Money Laundering. aug: au: Barone, Raffaella Masciandaro, Donato affil: Department of Law, University of Salento, Baffi Centre, Lecce, Italy Department of Economics, Bocconi University, Baffi Centre and SUERF, Milan, Italy su: Italy Corruption Money laundering sug: subj: Corruption Italy Money laundering keyword: corruption environmental crime money laundering real‐estate sector corruption environmental crime money laundering real‐estate sector ab: We offer a theoretical and empirical analysis that shows how corruption can be a 'green grease' that facilitates both environmental crimes and money laundering. Corruption can be an accelerator that amplifies the multiplier effect on illegal revenues. We model these relationships using a logistic function, which we calibrate to estimate overall environmental crime revenues using Italian regional data from 1995 to 2020. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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