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Correlates of Inter-Districts Migrations in Tanzania. A Gravity-Type Modeling Approach

Author

Listed:
  • Elena Pirani

    (Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", Università di Firenze)

  • Maria Francesca Marino

    (Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", Università di Firenze)

  • Alessandra Petrucci

    (Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", Università di Firenze)

Abstract

In this paper, we investigate the role of environmental factors as potential drivers of internal migrations in Tanzania, along with a number of socio-economic factors traditionally identified as key correlates. Climate changes are expected to exert pressure on areas which mainly rely on agricultural activities and, as a result, act as push factors for population movements. Yet, understanding the association between migration, environmental conditions, and objectively-determined characteristics of origin and destination territories remains a challenging task, especially in developing countries. In this study, we follow a macro approach and focus on migration flows across Tanzanian districts. By implementing a gravity-type model, we analyse the potential impact of environmental shocks and socio-economic characteristics of both the area of origin and destination on inter-districts migration.

Suggested Citation

  • Elena Pirani & Maria Francesca Marino & Alessandra Petrucci, 2019. "Correlates of Inter-Districts Migrations in Tanzania. A Gravity-Type Modeling Approach," Statistica, Department of Statistics, University of Bologna, vol. 79(2), pages 201-221.
    • Handle: RePEc:bot:rivsta:v:79:y:2019:i:2:p:201-221
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