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 docu...

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Detalles Bibliográficos
Autores: Domínguez Carreta, David Renato, Pantoja, Odette, Pico, Pablo, Mateos, Miguel, Alonso Almeida, María del Mar, González, Mario
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/695094
Acceso en línea:http://hdl.handle.net/10486/695094
https://dx.doi.org/10.1016/j.heliyon.2020.e04293
Access Level:acceso abierto
Palabra clave:Business
Economics
Geographical networks
Globalization
Graph Theory
International Relations
Money
Network Analysis
Offshore societies
Panama Papers
Tax havens
Economía
Informática
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spelling Panama Papers' offshoring network behaviorDomínguez Carreta, David RenatoPantoja, OdettePico, PabloMateos, MiguelAlonso Almeida, María del MarGonzález, MarioBusinessEconomicsGeographical networksGlobalizationGraph TheoryInternational RelationsMoneyNetwork AnalysisOffshore societiesPanama PapersTax havensEconomíaInformáticaThe 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.This work was funded by UDLA-SIS.MGR.20.01Elsevier Ltd.Departamento de Organización de EmpresasDepartamento de Ingeniería InformáticaEscuela Politécnica SuperiorNeurocomputación Biológica (ING EPS-005)20202020-06-26research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/695094https://dx.doi.org/10.1016/j.heliyon.2020.e04293reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/6950942026-06-23T12:46:27Z
dc.title.none.fl_str_mv Panama Papers' offshoring network behavior
title Panama Papers' offshoring network behavior
spellingShingle Panama Papers' offshoring network behavior
Domínguez Carreta, David Renato
Business
Economics
Geographical networks
Globalization
Graph Theory
International Relations
Money
Network Analysis
Offshore societies
Panama Papers
Tax havens
Economía
Informática
title_short 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_sort Panama Papers' offshoring network behavior
dc.creator.none.fl_str_mv Domínguez Carreta, David Renato
Pantoja, Odette
Pico, Pablo
Mateos, Miguel
Alonso Almeida, María del Mar
González, Mario
author Domínguez Carreta, David Renato
author_facet Domínguez Carreta, David Renato
Pantoja, Odette
Pico, Pablo
Mateos, Miguel
Alonso Almeida, María del Mar
González, Mario
author_role author
author2 Pantoja, Odette
Pico, Pablo
Mateos, Miguel
Alonso Almeida, María del Mar
González, Mario
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Organización de Empresas
Departamento de Ingeniería Informática
Escuela Politécnica Superior
Neurocomputación Biológica (ING EPS-005)
dc.subject.none.fl_str_mv Business
Economics
Geographical networks
Globalization
Graph Theory
International Relations
Money
Network Analysis
Offshore societies
Panama Papers
Tax havens
Economía
Informática
topic Business
Economics
Geographical networks
Globalization
Graph Theory
International Relations
Money
Network Analysis
Offshore societies
Panama Papers
Tax havens
Economía
Informática
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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-06-26
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/695094
https://dx.doi.org/10.1016/j.heliyon.2020.e04293
url http://hdl.handle.net/10486/695094
https://dx.doi.org/10.1016/j.heliyon.2020.e04293
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier Ltd.
publisher.none.fl_str_mv Elsevier Ltd.
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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