Building resilience to climate risks through social protection: from individualised models to systemic transformation.

© 2019 The Authors. Published by Wiley. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1111/disa.12339This article analyses the role of social protection programmes in contributing to people's resilience to climate risks. Drawing from desk-based and empirical studies in Ethiopia, Kenya and Uganda, it finds that social transfers make a strong contribution to the capacity of individuals and households to absorb the negative impacts of climate-related shocks and stresses. They do so through the provision of reliable, national social safety net systems-even when these are not specifically designed to address climate risks. Social protection can also increase the anticipatory capacity of national disaster response systems through scalability mechanisms, or pre-emptively through linkages to early action and early warning mechanisms. Critical knowledge gaps remain in terms of programmes' contributions to the adaptive capacity required for long-term resilience. The findings offer insights beyond social protection on the importance of robust, national administrative systems as a key foundation to support people's resilience to climate risks.Published versio

Verifying the relevance of a vulnerability to food insecurity index in practice for households in South Nigeria

This paper examined the relevance of the Vulnerability to Food Insecurity Index (VFII) in practice for households in South- South region of Nigeria. The main objectives were to verify the result of the VFII with real life experience and to understand why households are vulnerable to food insecurity using qualitative insight. The paper applied both quantitative and qualitative methods. The main findings reveal that the indictors of the index were able to reflect real-life experiences on the ground. However, applying the index to local community requires greater consideration of the heterogeneous population and relative importance of indicators. Thus flexible weight system is recommended when the index depends on local condition