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

IF 1.6 Q1 STATISTICS & PROBABILITY Statistica Pub Date : 2019-08-06 DOI:10.6092/ISSN.1973-2201/8538
Elena Pirani, M. Marino, A. Petrucci
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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.
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坦桑尼亚地区间移民的相关性。一种重力型建模方法
在本文中,我们调查了环境因素作为坦桑尼亚境内移民潜在驱动因素的作用,以及一些传统上被确定为关键相关因素的社会经济因素。预计气候变化将给主要依赖农业活动的地区带来压力,从而成为人口流动的推动因素。然而,了解移民、环境条件以及客观确定的原籍地和目的地特征之间的联系仍然是一项具有挑战性的任务,尤其是在发展中国家。在这项研究中,我们采用宏观方法,重点关注坦桑尼亚各地区的移民流动。通过实施重力型模型,我们分析了环境冲击和原籍和目的地地区的社会经济特征对地区间移民的潜在影响。
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来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
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