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Internal migration in Brazil using circular visualization

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  • Emerson Augusto Baptista
  • Guy J. Abel
  • Járvis Campos

Abstract

In Brazil – a developing country and one that in its last census in 2010 presented a number of five-year interstate migrations of approximately 4.6 million people – the study of internal migration is a complex exercise given the size and diversity of the country. We adapted the chord diagram plot to visualize the bilateral interstate migration flows in Brazil over a five-year period of 2005–10, and the migration stocks in Brazil in 2010. The bilateral migration flows highlight some recent trends of interstate migration (observed in recent decades), in turn different from cumulative flows over a long period (migration stocks). Brazilian internal migration in the new millennium seems to be marked by the inability of destination areas to absorb migrants over long periods, by the return migration to areas of origin and by the emergence of new areas of retention of migrants.

Suggested Citation

  • Emerson Augusto Baptista & Guy J. Abel & Járvis Campos, 2018. "Internal migration in Brazil using circular visualization," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 5(1), pages 361-364, January.
    • Handle: RePEc:taf:rsrsxx:v:5:y:2018:i:1:p:361-364
    DOI: 10.1080/21681376.2018.1526649
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    Cited by:

    1. Ferreira Costa, Carlos Germano, 2021. "Increased vulnerability of family farming in the context of a weakened FNS agenda due to austerity measures in Brazil," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 21(01), June.
    2. Chengliang Liu & Caicheng Niu & Ji Han, 2019. "Spatial Dynamics of Intercity Technology Transfer Networks in China’s Three Urban Agglomerations: A Patent Transaction Perspective," Sustainability, MDPI, vol. 11(6), pages 1-24, March.
    3. Britta Rude & Bennet Niederhöfer & Fabio Ferrara, 2020. "ifo Migrationsmonitor: Entwaldung und Migration," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(09), pages 66-74, September.

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