Fussell Elizabeth, Hunter Lori M, Gray Clark L
Population Studies and Training Center, Brown University, Box 1836, 68 Waterman St., Providence, RI 02912, USA.
Institute of Behavioral Science, CU Population Center, Department of Sociology, University of Colorado Boulder, Boulder, Colorado, USA.
Glob Environ Change. 2014 Sep 1;28:182-191. doi: 10.1016/j.gloenvcha.2014.07.001.
In recent years, the empirical literature linking environmental factors and human migration has grown rapidly and gained increasing visibility among scholars and the policy community. Still, this body of research uses a wide range of methodological approaches for assessing environment-migration relationships. Without comparable data and measures across a range of contexts, it is impossible to make generalizations that would facilitate the development of future migration scenarios. Demographic researchers have a large methodological toolkit for measuring migration as well as modeling its drivers. This toolkit includes population censuses, household surveys, survival analysis and multi-level modeling. This paper's purpose is to introduce climate change researchers to demographic data and methods and to review exemplary studies of the environmental dimensions of human migration. Our intention is to foster interdisciplinary understanding and scholarship, and to promote high quality research on environment and migration that will lead toward broader knowledge of this association.
近年来,将环境因素与人类迁移联系起来的实证文献迅速增加,并在学者和政策界日益受到关注。尽管如此,这一研究领域采用了广泛的方法论来评估环境与迁移的关系。由于缺乏跨多种背景的可比数据和衡量标准,无法得出有助于制定未来迁移情景的一般性结论。人口统计研究人员拥有一套用于衡量迁移及其驱动因素的庞大方法论工具包。这个工具包包括人口普查、家庭调查、生存分析和多层次建模。本文的目的是向气候变化研究人员介绍人口统计数据和方法,并回顾关于人类迁移环境维度的典范性研究。我们的目的是促进跨学科理解和学术研究,并推动对环境与迁移的高质量研究,从而更广泛地了解这种关联。