Reducing Trade Inequality: A Network-Based Assessment
| Autor: | G. Gómez Bengoechea, Javier García-Algarra, Mary Luz Mouronte-López |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Multidisciplinary
General Computer Science Inequality Article Subject media_common.quotation_subject 05 social sciences International economics QA75.5-76.95 01 natural sciences 010305 fluids & plasmas Globalization Electronic computers. Computer science 0502 economics and business 0103 physical sciences Economics 050207 economics Global inequality media_common |
| Zdroj: | Complexity, Vol 2020 (2020) DDFV: Repositorio Institucional de la Universidad Francisco de Vitoria Universidad Francisco de Vitoria DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria instname |
| Popis: | International trade, the network that underpins globalization, shows an extreme inequality. Despite efforts of multilateral organizations to foster a more fair world through trade agreements, it is hard to assess the effect of these changes on such a complex system. We have measured, using numerical simulation on a recently published network model, the impact of simple policies to boost trade chances among the weakest economies. Results suggest that global inequality may be reduced improving trade among low-income economies. post-print 3064 KB |
| Databáze: | OpenAIRE |
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