{"title":"Correlates of Inter-Districts Migrations in Tanzania. A Gravity-Type Modeling Approach","authors":"Elena Pirani, M. Marino, A. Petrucci","doi":"10.6092/ISSN.1973-2201/8538","DOIUrl":null,"url":null,"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.","PeriodicalId":45117,"journal":{"name":"Statistica","volume":"79 1","pages":"201-221"},"PeriodicalIF":1.6000,"publicationDate":"2019-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6092/ISSN.1973-2201/8538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
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.