Nawrotzki Raphael J, Hunter Lori M, Runfola Daniel M, Riosmena Fernando
University of Minnesota, Minnesota Population Center, 225 19th Avenue South, 50 Willey Hall, Minneapolis, MN 55455, ,
University of Colorado Boulder, Institute of Behavioral Science, CU Population Center, 1440 15th Street, Boulder, CO 80302, U.S.A.,
Environ Res Lett. 2015 Nov;10(11). doi: 10.1088/1748-9326/10/11/114023. Epub 2015 Nov 23.
Studies investigating migration as a response to climate variability have largely focused on rural locations to the exclusion of urban areas. This lack of urban focus is unfortunate given the sheer numbers of urban residents and continuing high levels of urbanization. To begin filling this empirical gap, this study investigates climate change impacts on U.S.-bound migration from rural and urban Mexico, 1986-1999. We employ geostatistical interpolation methods to construct two climate change indices, capturing warm and wet spell duration, based on daily temperature and precipitation readings for 214 weather stations across Mexico. In combination with detailed migration histories obtained from the Mexican Migration Project, we model the influence of climate change on household-level migration from 68 rural and 49 urban municipalities. Results from multilevel event-history models reveal that a temperature warming and excessive precipitation significantly increased international migration during the study period. However, climate change impacts on international migration is only observed for rural areas. Interactions reveal a causal pathway in which temperature (but not precipitation) influences migration patterns through employment in the agricultural sector. As such, climate-related international migration may decline with continued urbanization and the resulting reductions in direct dependence of households on rural agriculture.
将移民视为对气候变化响应的研究大多聚焦于农村地区,而排除了城市地区。鉴于城市居民数量众多且城市化水平持续居高,这种对城市地区的忽视令人遗憾。为了开始填补这一实证空白,本研究调查了1986 - 1999年气候变化对从墨西哥农村和城市向美国移民的影响。我们运用地理统计插值方法,基于墨西哥214个气象站的每日气温和降水读数,构建了两个捕捉温暖和湿润时段持续时间的气候变化指数。结合从墨西哥移民项目获得的详细移民历史,我们对来自68个农村和49个城市自治市的家庭层面移民的气候变化影响进行建模。多层次事件历史模型的结果显示,在研究期间,气温升高和降水过多显著增加了国际移民。然而,气候变化对国际移民的影响仅在农村地区观察到。相互作用揭示了一条因果路径,即气温(而非降水)通过农业部门的就业影响移民模式。因此,随着城市化的持续推进以及家庭对农村农业直接依赖的相应减少,与气候相关的国际移民可能会下降。