Population and Environment最新文献

Abstract

Migration is commonly seen as a last resort for households impacted by climate shocks, given the costs and risks that migration typically entails. However, pre-existing labor migration channels may facilitate immediate migration decisions in response to climate shocks. This study explores the relationship between migration and droughts in a rural Sub-Saharan setting from which men commonly migrate in search of non-agricultural employment. We use data from the Men’s Migrations and Women’s Lives project, which includes a longitudinal household panel conducted in rural Mozambique between 2006 and 2017, and combine it with the Standardized Precipitation Evapotranspiration Index, a high-resolution climate measure. The fixed-effect models assess the lagged impact of droughts on the labor migration status of male household heads. We find an immediate increase in migration following a drought, peaking in the first year, then diminishing in the second year, with a slight resurgence in the third year. However, by the sixth-year post-drought, the likelihood of being a migrant turns negative. These findings demonstrate the complex associations of climate shocks with labor migration in low-income rural settings.

The relationship between climate, environment, and human mobility is complex as (im)mobility outcomes are influenced by multiple socioeconomic, political, and environmental factors. The current debate is focused on migration as an adaptation strategy in the face of climate change but largely ignores the immobility aspect, particularly in the Eastern Hindu Kush where mountain livelihoods are strongly dependent on local environmental conditions. In this study, we examine the interrelations between climate change and the environment as drivers of human mobility and immobility in the mountain communities of Lotkuh valley, Chitral, in north Pakistan. We employed a mixed methods approach grounded in migration theory to describe the relationship between climate change, environment, and (im)mobility outcomes. The study reveals that climate (im)mobilities are the outcome of a complex interplay between climate change, extreme events, and local livelihoods. The primary drivers of (im)mobility are socioeconomic factors. Forced displacement is driven by a multitude of extreme events in the area. Three critical aspects of livelihoods—land resources, crop productivity, and livestock farming—are identified as significant factors influencing mobility and immobility outcomes. Recurring extreme events such as floods and landslides exacerbate soil erosion and the loss of fertile farmlands, leading to food insecurity and compelling households to resort to labor migration as an adaptation strategy. Conversely, for households facing severe income stress and depleted economic assets, immobility becomes the only viable option due to insufficient resources for migration. Moreover, the study reveals that some households adopt a mixed strategy by sending select members to other areas while others remain in their places of origin to sustain their livelihoods. The study has implications for policymakers, government, and development organizations in the region suggesting sustainable livelihoods and adaptation measures to address the specific challenges faced by mountain communities in the Lotkuh valley and the wider region.

Cardiovascular disease (CVD) is the leading cause of death in the United States, but CVD mortality rates vary substantially across U.S. counties. Recent explanations about geographic disparities in CVD mortality focus mainly on differences in demographic composition, socioeconomic conditions, health care access, and health behaviors. It is unclear what role air pollution plays in explaining geographic disparities in CVD mortality. In this study, I examine the associations between air pollution and county-level CVD mortality for the years 2016 to 2018 and how these associations vary across rural and urban counties. To answer these questions, I merge county-level data from multiple sources and apply spatial models. I find that higher concentrations of fine particulate matter (PM 2.5) are associated with higher CVD mortality rates, net of important county-level confounders such as socioeconomic and racial/ethnic composition. Moreover, PM 2.5 concentration is more strongly associated with CVD mortality in rural than in urban areas. These findings reveal the importance of air quality for reducing the CVD burden in the United States. Reducing PM 2.5 concentration could not only reduce geographic disparities in CVD deaths but could also reduce the rural mortality penalty.