DeWaard Jack, Fussell Elizabeth, Curtis Katherine J, Ha Jasmine Trang
Department of Sociology and Minnesota Population Center, University of Minnesota. 909 Social Science Tower, 267 19 Ave. S., Minneapolis, MN 55455.
Population Studies and Training Center, Brown University. Box 1836, 68 Waterman St. Providence, RI 02912.
Popul Space Place. 2020 Jan;26(1). doi: 10.1002/psp.2274. Epub 2019 Oct 27.
Prior research on the "Great American Migration Slowdown," or the declining rate of U.S. internal migration in recent decades, is dominated by two research foci. The first is concerned with the determinants of the migration slowdown. The second is concerned with spatial heterogeneity in the migration slowdown in and across places. With respect to the aim of this paper, many studies of spatial heterogeneity in the migration slowdown have implicitly raised questions about whether and to what extent places are connected to one another by migration flows, or the of migration. The spatial interconnectivity of migration is a concrete manifestation of underlying spatial interdependence among places, and, as such, deserves to be explicitly unpacked to further our understanding of the migration slowdown. Using county-to-county migration flow data from the Internal Revenue Service and a novel application of Das Gupta's demographic standardization and decomposition procedures, we document changes in the spatial interconnectivity of migration during the migration slowdown between 1990 and 2010. We show that counties became more connected to one another by migration over time, and that the increasing spatial interconnectivity of migration helped to keep the migration slowdown from slowing further. We also document changes in the spatial interconnectivity of migration for four types of migration flows: metro-to-metro, nonmetro-to-metro, metro-to-nonmetro, and nonmetro-to-nonmetro. Our work further elucidates the characteristics of the migration slowdown by describing changes in the spatial interconnectivity of migration. It also raises new questions for future research about the determinants and consequences of these changes.
先前关于“美国大规模移民放缓”(即近几十年来美国国内移民率下降)的研究主要集中在两个方面。第一个方面关注移民放缓的决定因素。第二个方面关注地区内部和地区之间移民放缓的空间异质性。就本文的目的而言,许多关于移民放缓空间异质性的研究都隐含地提出了这样的问题:地区之间是否通过移民流动相互联系,以及在多大程度上相互联系,即移民的空间互联性。移民的空间互联性是地区间潜在空间相互依存的具体表现,因此,值得明确剖析,以加深我们对移民放缓的理解。利用美国国税局的县与县之间的移民流动数据,以及达斯·古普塔人口标准化和分解程序的一种新应用,我们记录了1990年至2010年移民放缓期间移民空间互联性的变化。我们发现,随着时间的推移,各县之间通过移民联系得更加紧密,而且移民空间互联性的增强有助于防止移民放缓进一步加剧。我们还记录了四种移民流动类型(大都市到大都市、非大都市到大都市、大都市到非大都市、非大都市到非大都市)的移民空间互联性变化。我们的研究通过描述移民空间互联性的变化,进一步阐明了移民放缓的特征。它还为未来关于这些变化的决定因素和后果的研究提出了新问题。