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Contrôler moins pour contrôler mieux : L’utilisation du data mining pour la gestion du risque en douane

  • Bertrand LAPORTE

    ()

    (Centre d'Etudes et de Recherches sur le Développement International)

  • Anne-Marie GEOURJON

    (Centre d'Etudes et de Recherches sur le Développement International)

  • Massene GADIAGA
  • Ousmane COUNDOUL

Pour limiter les contrôles intrusifs, les administrations douanières les plus modernes s’appuient sur l’analyse du risque, seul moyen efficace, compte tenu de l’accroissement du volume des opérations commerciales, pour faciliter les échanges et sécuriser leurs opérations. Les douanes des pays en développement (PED) ont jusque-là tardé à s’engager dans cette voie. Cet article montre, à partir de l’expérience du Sénégal, que le data mining et les techniques de scoring peuvent être utilisées de manière efficace dans les douanes des PED pour évaluer le risque et orienter les déclarations dans les différents circuits de contrôle. Il met également en évidence que le développement à l’interne de tels systèmes dans les douanes de ces pays renforce de manière significative le processus de modernisation.

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Paper provided by CERDI in its series Working Papers with number 201206.

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Length: 21
Date of creation: 2012
Date of revision:
Handle: RePEc:cdi:wpaper:1326
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  1. Stephen Gates, 2006. "Incorporating Strategic Risk into Enterprise Risk Management: A Survey of Current Corporate Practice," Journal of Applied Corporate Finance, Morgan Stanley, vol. 18(4), pages 81-90.
  2. Grégoire ROTA-GRAZIOSI & Anne-Marie GEOURJON & Vianney DEQUIEDT, 2009. "Mutual Supervision in Preshipment Inspection Programs," Working Papers 200910, CERDI.
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