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Abstract：
In comparison to other types of resilience, livelihood resilience in the context of climate-related extremes like droughts is grounded in actual-life scenarios with the purpose of carefully assessing and improving the resiliency of individuals, households, communities, and nations. This study assesses households\' livelihood resilience to droughts in Raya Kobo District. A mixed approach with a concurrent research design was used to achieve this goal. The quantitative data were collected from 354 randomly selected survey respondents, while the qualitative data were collected from purposefully chosen FGD and KI participants. Principal Component Analysis (PCA) and Multiple Linear Regression (MLR) models were employed to analyse the quantitative data, whereas thematic data analysis was used to analyse the qualitative data through the creation of major and sub-themes. To determine households\' livelihood resilience, the livelihood resilience index (LRI) was measured using thirty-eight indicators of resilience based on the five livelihood assets. The study identified fifteen latent dimensions, such as infrastructure, technology, water harvesting scheme, land quality, cropping season, household working capacity, farm experience, educational status, social trust, risk response, social security, support service, income, crop diversity, and assets. The average score of these latent dimensions is 0.3999, suggesting that households in the study area are less resilient. The MLR results show a positive association between the latent dimensions and LRI and the relative importance of the latent dimensions for LRI. These findings provide significant policy implications regarding mitigating vulnerability, strengthening resilience, and establishing pathways out of livelihood insecurity. Education, healthcare, road construction, agricultural inputs (pesticides, herbicides, chemical fertilizers, and improved seeds), irrigation technologies (small-scale drip irrigation systems and human-powered pedals), income diversification, social trust, risk response, social security, support services, and asset building should be the focus of policymakers.
摘要：
与其他类型的弹性相比，在干旱等与气候相关的极端情况下，生计弹性是基于现实生活中的情景，目的是仔细评估和提高个人的弹性，家庭,社区,和国家。这项研究评估了RayaKobo区家庭对干旱的生计抵御能力。采用了并行研究设计的混合方法来实现这一目标。从354个随机选择的调查对象中收集了定量数据，而定性数据是从有目的地选择的FGD和KI参与者收集的。采用主成分分析(PCA)和多元线性回归(MLR)模型对定量数据进行分析,而主题数据分析用于通过创建主要和次主题来分析定性数据。为了确定家庭的生计韧性，生计弹性指数(LRI)是使用基于五种生计资产的38项弹性指标来衡量的。该研究确定了15个潜在维度，比如基础设施，技术,集水计划，土地质量,作物季节，家庭工作能力，农场经验,教育状况,社会信任,风险应对，社会保障,支持服务,收入,作物多样性,和资产。这些潜在维度的平均得分为0.3999，表明研究区域的家庭弹性较低。MLR结果显示潜在维度与LRI之间的正相关以及潜在维度对LRI的相对重要性。这些发现为减轻脆弱性提供了重大的政策影响，加强韧性，并建立摆脱生计不安全的途径。教育,healthcare,道路建设,农业投入(农药，除草剂,化肥,和改良的种子)，灌溉技术（小型滴灌系统和人力踏板），收入多样化，社会信任,风险应对，社会保障,支持服务,资产建设应该是政策制定者的重点。
