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Increasing Migration, Diverging Communities: Changing Character of Migrant Streams in Rural Thailand

机译:越来越多的移民,不同的社区:泰国农村的移民流变化特征

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This paper studies how increasing migration changes the character of migrant streams in sending communities. Cumulative causation theory posits that past migration patterns determine future flows, as prior migrants provide resources, influence, or normative pressures that make individuals more likely to migrate. The theory implies exponentially increasing migration flows that are decreasingly selective. Recent research identifies heterogeneity in the cumulative patterns and selectivity of migration in communities. We propose that this heterogeneity may be explained by individuals’ differential access to previously accumulated migration experience. Multi-level, longitudinal data from 22 rural Thai communities allow us to measure the distribution of past experience as a proxy for its accessibility to community members. We find that migration becomes a less-selective process as migration experience accumulates, and migrants become increasingly diverse in socio-demographic characteristics. Yet, selectivity within migrant streams persists if migration experience is not uniformly distributed among, and hence not equally accessible to, all community members. The results confirm that the accumulation and distribution of prior migrants’ experiences distinctly shape future migration flows, and may lead to diverging cumulative patterns in communities over time.
机译:本文研究了日益增加的移民如何改变派遣社区中移民流的特征。累积因果理论认为,过去的移民模式决定了未来的流动,因为先前的移民提供了资源,影响力或规范性压力,使个人更有可能移民。该理论意味着选择性增加的迁移流量呈指数增长。最近的研究确定了社区迁移的累积模式和选择性的异质性。我们建议,这种异质性可以用个人对先前积累的迁移经验的不同访问来解释。来自泰国22个农村社区的多层次,纵向数据使我们能够衡量过去的经验分布,以此作为对社区成员的无障碍访问的代理。我们发现,随着移民经验的积累,移民成为一种选择性较低的过程,并且移民的社会人口特征日益多样化。但是,如果所有社区成员之间的迁移经验分布不均,并且因此无法平等地获得,则迁移流中的选择性仍然存在。结果证实,先前移民的经验积累和分布明显地影响着未来的移民流动,并可能随着时间的流逝而导致社区累积模式的分化。

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