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比较拉丁美洲各国的国内移民情况:一种多维度方法。

Comparing internal migration across the countries of Latin America: A multidimensional approach.

作者信息

Bernard Aude, Rowe Francisco, Bell Martin, Ueffing Philipp, Charles-Edwards Elin

机构信息

University of Queensland, Brisbane, Australia.

University of Liverpool, Liverpool, United Kingdom.

出版信息

PLoS One. 2017 Mar 22;12(3):e0173895. doi: 10.1371/journal.pone.0173895. eCollection 2017.

Abstract

While considerable progress has been made in understanding the way particular aspects of internal migration, such as its intensity, age profile and spatial impact, vary between countries around the world, little attention to date has been given to establishing how these dimensions of migration interact in different national settings. We use recently developed measures of internal migration that are scale-independent to compare the overall intensity, age composition, spatial impact, and distance profile of internal migration in 19 Latin American countries. Comparisons reveal substantial cross-national variation but cluster analysis suggests the different dimensions of migration evolve systematically to form a broad sequence characterised by low intensities, young ages at migration, unbalanced flows and high friction of distance at lower levels of development, trending to high intensities, an older age profile of migration, more closely balanced flows and lower friction of distance at later stages of development. However, the transition is not linear and local contingencies, such as international migration and political control, often distort the migration-development nexus, leading to unique migration patterns in individual national contexts.

摘要

尽管在理解内部迁移的特定方面(如迁移强度、年龄分布和空间影响)在世界各国之间如何变化方面已经取得了相当大的进展,但迄今为止,很少有人关注确定这些迁移维度在不同国家背景下是如何相互作用的。我们使用最近开发的与规模无关的内部迁移测量方法,来比较19个拉丁美洲国家内部迁移的总体强度、年龄构成、空间影响和距离分布。比较结果显示出显著的跨国差异,但聚类分析表明,迁移的不同维度会系统地演变,形成一个广泛的序列,其特征是在发展水平较低时强度较低、迁移年龄较小、流动不平衡且距离摩擦较高,而在发展后期则趋向于高强度、迁移年龄较大、流动更平衡且距离摩擦较低。然而,这种转变并非线性的,国际迁移和政治控制等局部突发事件常常扭曲迁移与发展的关系,导致个别国家背景下独特的迁移模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9a1/5362059/85b465df4424/pone.0173895.g001.jpg

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