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Panama Papers' offshoring network behavior

The present study analyzes the offshoring network constructed from the information contained in the Panama Papers, characterizing worldwide regions and countries as well as their intra- and inter-relationships. The Panama Papers 2016 divulgence is the largest leak of offshoring and tax avoidance doc...

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Detalles Bibliográficos
Autores principales: Dominguez, David, Pantoja, Odette, Pico, Pablo, Mateos, Miguel, Alonso-Almeida, María del Mar, González, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327254/
https://www.ncbi.nlm.nih.gov/pubmed/32637690
http://dx.doi.org/10.1016/j.heliyon.2020.e04293
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author Dominguez, David
Pantoja, Odette
Pico, Pablo
Mateos, Miguel
Alonso-Almeida, María del Mar
González, Mario
author_facet Dominguez, David
Pantoja, Odette
Pico, Pablo
Mateos, Miguel
Alonso-Almeida, María del Mar
González, Mario
author_sort Dominguez, David
collection PubMed
description The present study analyzes the offshoring network constructed from the information contained in the Panama Papers, characterizing worldwide regions and countries as well as their intra- and inter-relationships. The Panama Papers 2016 divulgence is the largest leak of offshoring and tax avoidance documentation. The document leak, with a volume content of approximately 2.6 terabytes, involves more than two hundred thousand enterprises in more than two hundred countries. From this information, the offshore connections of individuals and companies are constructed and aggregated using their countries of origin. The top offshore financial regions and countries of the network are identified, and their intra- and inter-relationship are mapped and described. We are able to identify the top countries in the offshoring network and characterize their connectivity structure, discovering the more prominent actors in the worldwide offshoring scenario and their range of influence.
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spelling pubmed-73272542020-07-06 Panama Papers' offshoring network behavior Dominguez, David Pantoja, Odette Pico, Pablo Mateos, Miguel Alonso-Almeida, María del Mar González, Mario Heliyon Article The present study analyzes the offshoring network constructed from the information contained in the Panama Papers, characterizing worldwide regions and countries as well as their intra- and inter-relationships. The Panama Papers 2016 divulgence is the largest leak of offshoring and tax avoidance documentation. The document leak, with a volume content of approximately 2.6 terabytes, involves more than two hundred thousand enterprises in more than two hundred countries. From this information, the offshore connections of individuals and companies are constructed and aggregated using their countries of origin. The top offshore financial regions and countries of the network are identified, and their intra- and inter-relationship are mapped and described. We are able to identify the top countries in the offshoring network and characterize their connectivity structure, discovering the more prominent actors in the worldwide offshoring scenario and their range of influence. Elsevier 2020-06-26 /pmc/articles/PMC7327254/ /pubmed/32637690 http://dx.doi.org/10.1016/j.heliyon.2020.e04293 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dominguez, David
Pantoja, Odette
Pico, Pablo
Mateos, Miguel
Alonso-Almeida, María del Mar
González, Mario
Panama Papers' offshoring network behavior
title Panama Papers' offshoring network behavior
title_full Panama Papers' offshoring network behavior
title_fullStr Panama Papers' offshoring network behavior
title_full_unstemmed Panama Papers' offshoring network behavior
title_short Panama Papers' offshoring network behavior
title_sort panama papers' offshoring network behavior
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327254/
https://www.ncbi.nlm.nih.gov/pubmed/32637690
http://dx.doi.org/10.1016/j.heliyon.2020.e04293
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