Reducing Trade Inequality: A Network-Based Assessment
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...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/1593215 |
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| _version_ | 1832554109059727360 |
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| author | J. Garcia-Algarra G. Gómez Bengoechea M. L. Mouronte-López |
| author_facet | J. Garcia-Algarra G. Gómez Bengoechea M. L. Mouronte-López |
| author_sort | J. Garcia-Algarra |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-afe86c2812834a5e96e9b83c22acb7f1 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-afe86c2812834a5e96e9b83c22acb7f12025-02-03T05:52:29ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/15932151593215Reducing Trade Inequality: A Network-Based AssessmentJ. Garcia-Algarra0G. Gómez Bengoechea1M. L. Mouronte-López2Centro Universitario U-tad, Engineering Department, Las Rozas, SpainUniversidad Pontificia Comillas, Economics Department, Madrid, SpainHigher Polytechnic School, Universidad Francisco de Vitoria, Madrid, SpainInternational 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.http://dx.doi.org/10.1155/2020/1593215 |
| spellingShingle | J. Garcia-Algarra G. Gómez Bengoechea M. L. Mouronte-López Reducing Trade Inequality: A Network-Based Assessment Complexity |
| title | Reducing Trade Inequality: A Network-Based Assessment |
| title_full | Reducing Trade Inequality: A Network-Based Assessment |
| title_fullStr | Reducing Trade Inequality: A Network-Based Assessment |
| title_full_unstemmed | Reducing Trade Inequality: A Network-Based Assessment |
| title_short | Reducing Trade Inequality: A Network-Based Assessment |
| title_sort | reducing trade inequality a network based assessment |
| url | http://dx.doi.org/10.1155/2020/1593215 |
| work_keys_str_mv | AT jgarciaalgarra reducingtradeinequalityanetworkbasedassessment AT ggomezbengoechea reducingtradeinequalityanetworkbasedassessment AT mlmourontelopez reducingtradeinequalityanetworkbasedassessment |