Global dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015
Abstract Evidence from 184 countries over the span of 25 years is gathered and analyzed to understand North–North, South–South, and North–South international migration flows. Conceptually, the analysis borrows from network theory and Migration Systems Theory (MST) to develop a model to characterize...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-02-01
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| Series: | Applied Network Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s41109-020-00322-x |
| _version_ | 1818661745469685760 |
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| author | Diego F. Leal Nicolas L. Harder |
| author_facet | Diego F. Leal Nicolas L. Harder |
| author_sort | Diego F. Leal |
| collection | DOAJ |
| description | Abstract Evidence from 184 countries over the span of 25 years is gathered and analyzed to understand North–North, South–South, and North–South international migration flows. Conceptually, the analysis borrows from network theory and Migration Systems Theory (MST) to develop a model to characterize the structure and evolution of international migration flows. Methodologically, the Stochastic Actor-oriented Model of network dynamics is used to jointly model the three types of flows under analysis. Results show that endogenous network effects at the monadic, dyadic, and triadic levels of analysis are relevant to understand the emergence and evolution of migration flows. The findings also show that a core set of non-network covariates, suggested by MST as key drivers of migration flows, does not always explain migration dynamics in the systems under analysis in a consistent fashion; thus, suggesting the existence of important levels of heterogeneity inherent to these three types of flows. Finally, evidence related to the role of political instability and countries’ care deficits is also discussed as part of the analysis. Overall, the results highlight the importance of analyzing flows across the globe beyond typically studied migratory corridors (e.g., North–South flows) or regions (e.g., Europe). |
| first_indexed | 2024-12-17T04:49:56Z |
| format | Article |
| id | doaj.art-5b6521e020f24e2aabf70573ed04265a |
| institution | Directory Open Access Journal |
| issn | 2364-8228 |
| language | English |
| last_indexed | 2024-12-17T04:49:56Z |
| publishDate | 2021-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Applied Network Science |
| spelling | doaj.art-5b6521e020f24e2aabf70573ed04265a2022-12-21T22:02:55ZengSpringerOpenApplied Network Science2364-82282021-02-016112710.1007/s41109-020-00322-xGlobal dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015Diego F. Leal0Nicolas L. Harder1Department of Sociology, University of South CarolinaDepartment of Sociology, University of South CarolinaAbstract Evidence from 184 countries over the span of 25 years is gathered and analyzed to understand North–North, South–South, and North–South international migration flows. Conceptually, the analysis borrows from network theory and Migration Systems Theory (MST) to develop a model to characterize the structure and evolution of international migration flows. Methodologically, the Stochastic Actor-oriented Model of network dynamics is used to jointly model the three types of flows under analysis. Results show that endogenous network effects at the monadic, dyadic, and triadic levels of analysis are relevant to understand the emergence and evolution of migration flows. The findings also show that a core set of non-network covariates, suggested by MST as key drivers of migration flows, does not always explain migration dynamics in the systems under analysis in a consistent fashion; thus, suggesting the existence of important levels of heterogeneity inherent to these three types of flows. Finally, evidence related to the role of political instability and countries’ care deficits is also discussed as part of the analysis. Overall, the results highlight the importance of analyzing flows across the globe beyond typically studied migratory corridors (e.g., North–South flows) or regions (e.g., Europe).https://doi.org/10.1007/s41109-020-00322-xInternational migrationMigration Systems TheorySocial networksStochastic Actor-oriented ModelGlobal NorthGlobal South |
| spellingShingle | Diego F. Leal Nicolas L. Harder Global dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015 Applied Network Science International migration Migration Systems Theory Social networks Stochastic Actor-oriented Model Global North Global South |
| title | Global dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015 |
| title_full | Global dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015 |
| title_fullStr | Global dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015 |
| title_full_unstemmed | Global dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015 |
| title_short | Global dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015 |
| title_sort | global dynamics of international migration systems across south south north north and north south flows 1990 2015 |
| topic | International migration Migration Systems Theory Social networks Stochastic Actor-oriented Model Global North Global South |
| url | https://doi.org/10.1007/s41109-020-00322-x |
| work_keys_str_mv | AT diegofleal globaldynamicsofinternationalmigrationsystemsacrosssouthsouthnorthnorthandnorthsouthflows19902015 AT nicolaslharder globaldynamicsofinternationalmigrationsystemsacrosssouthsouthnorthnorthandnorthsouthflows19902015 |