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Mapping the Global Offshoring Network Through the Panama Papers

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Proceedings of the International Conference on Information Technology & Systems (ICITS 2018) (ICITS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 721))

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Abstract

This works maps the offshoring network between regions and countries worldwide through the Panama Papers. The Panama Papers 2016 divulgence is the largest leak of offshoring and tax avoidance documentation. The leaked documents contain 2.6 TB of information involving more than two hundred thousand of enterprises in more than two hundreds countries. Using the Offshore leaks database we related entities around the world through different types of relationships. These relationships were used in order to build an offshoring network at countries and geographical regions scales. The network is characterized and described using chord diagrams to map the intra and inter relation between the countries and regions, discovering which of them are the more prominent in the worldwide offshoring scenario.

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Acknowledgments

This work was funded by UAM-Santander CEAL-AL/2017-08, and UDLA-SIS.MG.17.02.

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Authors and Affiliations

  1. Escuela Politécnica Superior, Universidad Autónoma de Madrid, 28049, Madrid, Spain

    David Dominguez

  2. FCA, Escuela Politécnica Nacional, Quito, Ecuador

    Odette Pantoja

  3. COPA, Department of Industrial Engineering, Universidad de los Andes, Bogotá, Colombia

    Mario González

  4. FICA, Universidad de las Américas, Quito, Ecuador

    Mario González

Authors
  1. David Dominguez
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  2. Odette Pantoja
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  3. Mario González
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Corresponding author

Correspondence to Mario González .

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Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Systems Department, Universidad Estatal Península de Santa Elena, La Libertad, Ecuador

    Teresa Guarda

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Dominguez, D., Pantoja, O., González, M. (2018). Mapping the Global Offshoring Network Through the Panama Papers. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_39

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  • DOI: https://doi.org/10.1007/978-3-319-73450-7_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73449-1

  • Online ISBN: 978-3-319-73450-7

  • eBook Packages: EngineeringEngineering (R0)

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