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[英文文献] Working Paper 316 - Resilience to Diverse Shocks and Stressors in Niger and... [推广有奖]

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纽约原油436 发表于 2005-5-5 16:05:18 |AI写论文

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英文文献:Working Paper 316 - Resilience to Diverse Shocks and Stressors in Niger and Ethiopia-工作文件316 -在尼日尔和埃塞俄比亚对各种冲击和压力源的恢复力
英文文献作者:Joanna Upton
英文文献摘要:
The concept of development resilience has become increasingly popular in recent years, in both research and policy circles. The primary regions of focus for resilience analysis and programming are those with both chronic and cyclical problems with food insecurity, that are susceptible to climate volatility (most commonly drought) as well as other shocks and stressors. This research focuses in on two countries that epitomize these concerns–Niger and Ethiopia – and examines the influence of climate and other shocks on indicators on wellbeing through a resilience lens. In particular, we explore the drivers of dynamic wellbeing and the influence of objective and self-reported shocks, and how sensitive those correlations are to the choice of poverty threshold. We also assess the ability of the resilience metric to predict wellbeing out of sample in each context. We find strong associations between climate indicators and wellbeing, though different indicators perform differently across contexts. While there are important differences between countries, and comparability is in many ways limited, there are many common features of households and the environment that are associated with resilience. The metric in turn performs relatively well in predicting wellbeing in subsequent periods, and its structure provides some potential advantages for identifying and/or targeting poor populations. JEL classification: I32,Q64, Q56

近年来,发展弹性的概念在研究和政策领域越来越流行。恢复力分析和规划的主要重点区域是那些存在粮食不安全等慢性和周期性问题的地区,这些地区容易受到气候波动(最常见的是干旱)以及其他冲击和压力因素的影响。这项研究集中在尼日尔和埃塞俄比亚这两个集中体现了这些担忧的国家,并通过弹性视角考察了气候和其他冲击对福祉指标的影响。特别是,我们探索了动态幸福的驱动因素、客观和自我报告的冲击的影响,以及这些相关性对贫困门槛的选择有多敏感。我们还评估了弹性度量在不同背景下预测样本外幸福感的能力。我们发现,尽管不同的指标在不同背景下表现不同,但气候指标与幸福感之间存在很强的关联。虽然国家之间有重要的差异,可比性在许多方面是有限的,但家庭和环境的许多共同特征与复原力有关。反过来,该指标在预测后续时期的福祉方面表现相对较好,其结构为识别和/或针对贫困人口提供了一些潜在优势。JEL分类:I32,Q64, Q56
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