Gray Clark L
University of North Carolina at Chapel Hill, Campus Box 3220, Chapel Hill, NC 27599-3220, USA.
Glob Environ Change. 2011 May;21(2):421-430. doi: 10.1016/j.gloenvcha.2011.02.004.
Soil degradation is widely considered to be a key factor undermining agricultural livelihoods in the developing world and contributing to rural out-migration. To date, however, few quantitative studies have examined the effects of soil characteristics on human migration or other social outcomes for potentially vulnerable households. This study takes advantage of a unique longitudinal survey dataset from Kenya and Uganda containing information on household-level soil properties to investigate the effects of soil quality on population mobility. Random effects multinomial logit models are used to test for effects of soil quality on both temporary and permanent migration while accounting for a variety of potential confounders. The analysis reveals that soil quality significantly reduces migration in Kenya, particularly for temporary labor migration, but marginally increases migration in Uganda. These findings are consistent with several previous studies in showing that adverse environmental conditions tend to increase migration but not universally, contrary to common assumptions about environmentally-induced migration.
土壤退化被广泛认为是破坏发展中世界农业生计并导致农村人口外流的一个关键因素。然而,迄今为止,很少有定量研究考察土壤特性对潜在脆弱家庭的人口迁移或其他社会结果的影响。本研究利用了来自肯尼亚和乌干达的一个独特的纵向调查数据集,该数据集包含家庭层面土壤属性的信息,以调查土壤质量对人口流动的影响。随机效应多项logit模型用于检验土壤质量对临时和永久迁移的影响,同时考虑各种潜在的混杂因素。分析表明,土壤质量在肯尼亚显著减少了迁移,特别是临时劳动力迁移,但在乌干达则略微增加了迁移。这些发现与之前的几项研究一致,表明不利的环境条件往往会增加迁移,但并非普遍如此,这与关于环境导致迁移的常见假设相反。