Smerlak Matteo, Vaitla Bapu
Perimeter Institute for Theoretical Physics , Waterloo , Ontario , Canada.
T.H. Chan School of Public Health , Harvard University , Cambridge , MA , USA.
R Soc Open Sci. 2017 Jan 18;4(1):160874. doi: 10.1098/rsos.160874. eCollection 2017 Jan.
Resilience, the ability to recover from adverse events, is of fundamental importance to food security. This is especially true in poor countries, where basic needs are frequently threatened by economic, environmental and health shocks. An empirically sound formalization of the concept of food security resilience, however, is lacking. Here, we introduce a general non-equilibrium framework for quantifying resilience based on the statistical notion of persistence. Our approach can be applied to any food security variable for which high-frequency time-series data are available. We illustrate our method with kilocalorie availability for 161 countries between 1961 and 2011. We find that resilient countries are not necessarily those that are characterized by high levels or less volatile fluctuations of kilocalorie intake. Accordingly, food security policies and programmes will need to be tailored not only to welfare levels at any one time, but also to long-run welfare dynamics.
恢复力,即从不利事件中恢复的能力,对粮食安全至关重要。在贫穷国家尤其如此,在这些国家,基本需求经常受到经济、环境和健康冲击的威胁。然而,目前缺乏对粮食安全恢复力概念的基于实证的合理形式化。在此,我们引入了一个基于持续性统计概念来量化恢复力的一般非平衡框架。我们的方法可应用于任何有高频时间序列数据的粮食安全变量。我们用1961年至2011年间161个国家的千卡可获得量来说明我们的方法。我们发现,具有恢复力的国家不一定是那些千卡摄入量水平高或波动较小的国家。因此,粮食安全政策和计划不仅需要针对任何一个时间点的福利水平进行调整,还需要针对长期福利动态进行调整。