Money laundering in rural areas with illicit crops: empirical evidence for Colombia.
This research presents the first evidence on the existence of money laundering in rural areas dedicated to the production of illicit crops. This paper uses, as money laundering (ML) measure, Financial Intelligence Reports (FIR). FIR is a more accurate ML measure than Suspicious Transaction Report (S...
| Publicado en: | Crime, Law & Social Change Vol. 72; no. 4; pp. 387 - 418 |
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| Formato: | Artículo |
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Springer Nature
Nov2019
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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=139525179&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 139525179 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: Nov2019 vid: 72 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 139525179 10.1007/s10611-019-09822-z ppf: 387 ppct: 31 formats: fmt: – @attributes: type: T – @attributes: type: P size: 3MB tig: atl: Money laundering in rural areas with illicit crops: empirical evidence for Colombia. aug: au: Bayona-Rodríguez, Hernando affil: School of Economics, Universidad Nacional de Colombia, Bogotá, Colombia School of Education, Universidad de los Andes, Bogotá, Colombia su: Colombia Rural geography Economic activity Crops Panel analysis Money laundering Financial statements sug: subj: Rural geography Economic activity Colombia Crops Panel analysis Money laundering Financial statements keyword: C81 H56 Illicit crops K42 Reporte de Operaciones Sospechosas ROS STR Suspicious operations reports C81 H56 Illicit crops K42 Reporte de Operaciones Sospechosas ROS STR Suspicious operations reports ab: This research presents the first evidence on the existence of money laundering in rural areas dedicated to the production of illicit crops. This paper uses, as money laundering (ML) measure, Financial Intelligence Reports (FIR). FIR is a more accurate ML measure than Suspicious Transaction Report (STR) since it implies more rigorous and detail analysis. The present research uses a new panel of municipal data for the period 2000–2013 which has information that measure: ML dynamics, economic activity, violence, conflicts, institutional presence and interdiction. Using a fixed-effects model by municipality and year, this study found a positive relationship between ML, measured as the value of FIR, and illicit crops. The results are maintained throughout specifications and robustness exercises. This paper found that a 1% increase in cultivated area in the municipality implies 3.04% increase in the FIR value. If one representative municipality of the sample is taken, an increase of 1% in cultivated area would be translated into 641 million COP (342.705 USD) in money laundering reported in FIR. Thus, the existence of money laundering in rural areas dedicated to illicit crops is concluded. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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