Resilience to drought and climate change disasters and its determinants in the heterogeneous pastoral Ethiopia

IF 2.6 Q3 ENVIRONMENTAL SCIENCES Progress in Disaster Science Pub Date : 2024-08-28 DOI:10.1016/j.pdisas.2024.100366
Mekonnen B. Wakeyo
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Abstract

Disastrous livestock losses have been documented over long periods in pastoral Ethiopia, and this challenge has remained unresolved. Nevertheless, this issue has received less attention than it deserves. This study estimated resilience of households to drought and climate change using survey data collected from 2756 households in the four pastoral regions of Ethiopia. A two-step approach, along with factor analysis, was followed to estimate resilience by household categories, intervention groups, and regions. Following this, tobit model was estimated to identify factors influencing resilience. The results indicated, (1) the average resilience estimated for treated and untreated groups range from 0.32 to 0.90 and from 0.32 to 0.55, respectively. (2) The components of income and food-access, public services, social safety net, and liquid and non-liquid assets boosted the estimated resilience. To those components, daily per-capita income and expenditure, food-insecurity, health-post, mobility, time-efficient food-aid, livestock-size and diversity, and irrigated land contributed most. (3) The estimated tobit model indicated months of drought, whether households produce or purchase grain for consumption, among others, significantly influenced resilience. To improve resilience, the study advises diversified income, school-feeding, market access, water points, and timely food-aid. Over time, transformative investments in road and irrigation, augmented by technology and training for forage and crop production require attention.

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埃塞俄比亚不同牧区抵御干旱和气候变化灾害的能力及其决定因素
长期以来,埃塞俄比亚牧区的牲畜损失惨重,而这一挑战一直没有得到解决。然而,这一问题受到的关注却远远不够。本研究利用从埃塞俄比亚四个牧区 2756 个家庭收集到的调查数据,对家庭抵御干旱和气候变化的能力进行了估算。研究采用两步法和因素分析法,按家庭类别、干预组别和地区估算抗灾能力。随后,通过估计 tobit 模型来确定影响抗灾能力的因素。结果表明:(1) 治疗组和未治疗组的平均复原力估计值分别为 0.32 至 0.90 和 0.32 至 0.55。(2) 收入和食物获取、公共服务、社会安全网、流动和非流动资产等因素提高了复原力估计值。其中,人均日收入和支出、粮食不安全、卫生站、流动性、省时的粮食援助、牲畜数量和多样性以及灌溉土地的贡献最大。(3) 估计的托比特模型显示,干旱月数、家庭是否生产或购买粮食用于消费等因素对抗灾能力有重大影响。为提高抗灾能力,研究建议实现收入多样化、学校供餐、市场准入、供水点和及时的粮食援助。随着时间的推移,需要关注道路和灌溉方面的变革性投资,并通过技术和培训加强饲料和作物生产。
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来源期刊
Progress in Disaster Science
Progress in Disaster Science Social Sciences-Safety Research
CiteScore
14.60
自引率
3.20%
发文量
51
审稿时长
12 weeks
期刊介绍: Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery. A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.
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