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

Elena Pirani (), Maria Francesca Marino and Alessandra Petrucci
Additional contact information
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

Statistica, 2019, vol. 79, issue 2, 201-221

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.

Keywords: Climate change; Gravity-type models; Population flows; Socio-economic conditions (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:79:y:2019:i:2:p:201-221

Access Statistics for this article

Statistica is currently edited by Department of Statistics, University of Bologna

More articles in Statistica from Department of Statistics, University of Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Giovanna Galatà ().