Thiede Brian C, Randell Heather, Gray Clark
The Pennsylvania State University, University Park, PA 16802.
The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Popul Dev Rev. 2022 Sep;48(3):767-793. doi: 10.1111/padr.12482. Epub 2022 Mar 30.
The literature on climate exposures and human migration has focused largely on assessing short-term responses to temperature and precipitation shocks. In this paper, we suggest that this common coping strategies model can be extended to account for mechanisms that link environmental conditions to migration behavior over longer periods of time. We argue that early-life climate exposures may affect the likelihood of migration from childhood through early adulthood by influencing parental migration, community migration networks, human capital development, and decisions about household resource allocation, all of which are correlates of geographic mobility. After developing this conceptual framework, we evaluate the corresponding hypotheses using a big data approach, analyzing 20 million individual georeferenced records from 81 censuses implemented across 31 countries in tropical Africa, Latin America, and Southeast Asia. For each world region, we estimate regression models that predict lifetime migration (a change in residence between birth and ages 30-39) as a function of temperature and precipitation anomalies in early life, defined as the year prior to birth through age four. Results suggest that early-life climate is systematically associated with changes in the probability of lifetime migration in most regions of the tropics, with the largest effects observed in sub-Saharan Africa. In East and Southern Africa, the effects of temperature shocks vary by sex and educational attainment and in a manner that suggests women and those of lower socioeconomic status are most vulnerable. Finally, we compare our main results with models using alternative measures of climate exposures. This comparison suggests climate exposures during the prenatal period and first few years of life are particularly (but not exclusively) salient for lifetime migration, which is most consistent with the hypothesized human capital mechanism.
关于气候暴露与人类迁移的文献主要集中在评估对温度和降水冲击的短期应对措施。在本文中,我们认为这种常见的应对策略模型可以扩展,以解释将环境条件与更长时期内的迁移行为联系起来的机制。我们认为,早年的气候暴露可能会通过影响父母的迁移、社区迁移网络、人力资本发展以及家庭资源分配决策,从而影响从童年到成年早期的迁移可能性,所有这些都是地理流动性的相关因素。在建立了这个概念框架之后,我们使用大数据方法评估相应的假设,分析来自热带非洲、拉丁美洲和东南亚31个国家进行的81次人口普查的2000万条个人地理参考记录。对于每个世界区域,我们估计回归模型,该模型将预测终身迁移(出生至30 - 39岁之间的居住地变化)作为早年温度和降水异常的函数,早年定义为出生前一年至4岁。结果表明,在热带地区的大多数区域,早年气候与终身迁移概率的变化存在系统性关联,在撒哈拉以南非洲观察到的影响最大。在东非和南非,温度冲击的影响因性别和教育程度而异,并且这种方式表明女性和社会经济地位较低的人群最为脆弱。最后,我们将主要结果与使用气候暴露替代指标的模型进行比较。这种比较表明,产前时期和生命最初几年的气候暴露对于终身迁移特别(但并非唯一)显著,这与假设的人力资本机制最为一致。