埃塞俄比亚中部Omo-Gibe盆地农户易受土地退化影响的决定因素

Fisseha Seyoum
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引用次数: 0

摘要

埃塞俄比亚经常报告易受土地退化影响的情况。然而,脆弱性的程度及其决定因素在空间和时间上各不相同。本研究的目的是估计埃塞俄比亚西南部中部Omo-Gibe河次流域农户对土地退化影响的脆弱性及其决定因素。采用多阶段随机抽样技术,对383户农户进行了初步数据采集。采用主成分分析法对各指标赋予不同权重,估算农户脆弱性指数,根据农户脆弱性程度对农户进行分类。结果表明,44.91%、39.16%和15.93%的农户对土地退化影响的脆弱性分别为轻度、中度和高度。有序logistic回归结果显示,年龄、性别、婚姻状况、家庭规模、抚养比、推广服务、社会参与、牲畜拥有量、土地保有保障、土地面积和距离最近的主要道路的距离、感知到的耕地生产力下降和地块级土地退化影响农户对土地退化影响的脆弱性。因此,政策制定者和地方发展从业者应优先考虑高度脆弱的家庭,重点关注影响脆弱性的主要因素,加强包括基础设施和制度资本在内的人力、财力、自然和物理资本,以尽量减少研究区域土地退化的影响。关键词:土地退化,脆弱性,有序logistic回归,主成分分析,Omo-Gibe流域,埃塞俄比亚DOI: 10.7176/CER/12-7-01
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of Farm Households’ Vulnerability to the Impact of Land Degradation in the Central Omo-Gibe Basin, Ethiopia
Vulnerability to the impacts of land degradation has been frequently reported in Ethiopia. However, the level of vulnerability and its determinants vary in spatial and temporal. The objective of this study was to estimate farm households’ vulnerability to the impact of land degradation and its determinants in the Central Omo-Gibe river sub-basin, southwestern Ethiopia. Primary data were collected from 383 farm households using multistage random sampling techniques. The principal component analysis was  employed to give different weights for indicators and estimate the households’ vulnerability index so as to  categorize farm households based on their level of  vulnerability . The result showed that 44.91%, 39.16% and 15.93% of the sample farm households were found to be less, moderately and highly vulnerable to the impact of land degradation, respectively. The ordered logistic regression result showed that age, sex, marital status, family size, dependency ratio, extension service, social participation, livestock ownership, land tenure security, land size and distance to the nearest main road, perceived reduction cropland productivity and plot-level land degradation affected households’ vulnerability to the impact of land degradation. Therefore, policymakers and local development practitioners should give priority to the highly vulnerable households focusing on the major factors affecting vulnerability strengthen human, financial, natural and physical including infrastructure and institutional capitals to minimize the impact of land degradation in the study area. Keywords: Land degradation, Vulnerability, Ordered logistic regression, Principal Component Analysis , Omo-Gibe basin, Ethiopia DOI: 10.7176/CER/12-7-01 Publication date: July 31 st 2020
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