大衰退后美国生育率的下降和恢复——以县级劳动力工业构成为例

IF 1.1 Q3 DEMOGRAPHY Spatial Demography Pub Date : 2020-06-16 DOI:10.1007/s40980-020-00063-6
Jeongsoo Kim, Lloyd B. Potter
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引用次数: 0

摘要

在大衰退以来美国生育率持续下降的情况下,不同地理区域的生育率恢复模式并不均匀。本研究假设生育模式的地理差异可归因于不同地区的劳动力构成。我们使用的数据来自美国人口普查局的常住人口县人口变化组成的年度估计,以估计县一级生育率变化的差异。通过比较经济衰退前后的出生率斜率,我们可以直观地看到美国县一级生育率变化的特征。此外,多元线性回归模型估计,劳动力在批发贸易、信息和贸易中所占比例较大的县;科技、金融&;保险,和专业& &;科学行业显示,在大衰退期间,生育率趋势的波动性更大。相反,在农业、零售业和教育行业中劳动力比例较高的县,在经济衰退期间往往变化较小。然而,在大衰退后的结构性生育率下降中,生育率恢复得到了有限的确认。
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U.S. Fertility Decline and Recuperation Following the Great Recession by County-Level Industrial Composition of the Labor Force

Amid a persistent U.S. fertility decline since the Great Recession, fertility recuperation patterns by geographic regions were not homogeneous. This study hypothesizes that the geographic discrepancies in fertility patterns are attributable to different labor force compositions by the regions. We use data from the U.S. Census Bureau’s Annual Estimates of the Resident Population County Components of Population Change to estimate the discrepancy in fertility variations at the county-level. By comparing the slopes of births before and following the recession, we visualize the characteristics of fertility variations at the U.S. county-level. Also, a multiple linear regression model estimates that the counties with a greater share of labor force in wholesale trade, information & technology, finance & insurance, and professional & scientific industry show greater volatility in fertility trends throughout the Great Recession. On the contrary, the counties with higher proportions of the labor force in agriculture, retail trade, and education industry tend to less change over the years of the economic recession. However, fertility recuperation is limitedly identified amid the structural fertility decline after the Great Recession.

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来源期刊
Spatial Demography
Spatial Demography DEMOGRAPHY-
自引率
0.00%
发文量
12
期刊介绍: Spatial Demography focuses on understanding the spatial and spatiotemporal dimension of demographic processes.  More specifically, the journal is interested in submissions that include the innovative use and adoption of spatial concepts, geospatial data, spatial technologies, and spatial analytic methods that further our understanding of demographic and policy-related related questions. The journal publishes both substantive and methodological papers from across the discipline of demography and its related fields (including economics, geography, sociology, anthropology, environmental science) and in applications ranging from local to global scale. In addition to research articles the journal will consider for publication review essays, book reviews, and reports/reviews on data, software, and instructional resources.
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