1. Panama Papers' offshoring network behavior
- Author
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Mario González, María del Mar Alonso-Almeida, Miguel Mateos, Odette Pantoja, David Dominguez, Pablo Pico, UAM. Departamento de Ingeniería Informática, UAM. Departamento de Organización de Empresas, and Neurocomputación Biológica (ING EPS-005)
- Subjects
0301 basic medicine ,Panama Papers ,Economics ,Offshore societies ,Article ,Economía ,03 medical and health sciences ,Globalization ,0302 clinical medicine ,Documentation ,Geographical networks ,Business ,Economic geography ,lcsh:Social sciences (General) ,lcsh:Science (General) ,Volume content ,Informática ,Panama ,Multidisciplinary ,Offshoring ,International Relations ,Money ,Network behavior ,Tax avoidance ,030104 developmental biology ,Graph Theory ,Tax havens ,lcsh:H1-99 ,030217 neurology & neurosurgery ,Network Analysis ,lcsh:Q1-390 - Abstract
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., Panama Papers; Offshore societies; Tax havens; Geographical networks; Graph Theory; Network Analysis; International Relations; Money; Globalization; Business; Economics
- Published
- 2020