Adaptive social protection (ASP) helps to build the resilience of poor and vulnerable households to the impacts of large, covariate shocks, such as natural disasters, economic crises, pandemics, conflict, and forced displacement. Through the provision of transfers and services directly to these households, ASP supports their capacity to prepare for, cope with, and adapt to the shocks they face—before, during, and after these shocks occur. Over the long term, by supporting these three capacities, ASP can provide a pathway to a more resilient state for households that may otherwise lack the resources to move out of chronically vulnerable situations. Adaptive Social Protection: Building Resilience to Shocks outlines an organizing framework for the design and implementation of ASP, providing insights into the ways in which social protection systems can be made more capable of building household resilience. By way of its four building blocks—programs, information, finance, and institutional arrangements and partnerships—the framework highlights both the elements of existing social protection systems that are the cornerstones for building household resilience, as well as the additional investments that are central to enhancing their ability to generate these outcomes. In this report, the ASP framework and its building blocks have been elaborated primarily in relation to natural disasters and associated climate change. Nevertheless, many of the priorities identified within each building block are also pertinent to the design and implementation of ASP across other types of shocks, providing a foundation for a structured approach to the advancement of this rapidly evolving and complex agenda.

The literature on shock-responsive social protection focuses on operational features that improve the speed and reach of the response, but little is known about the optimal design of emergency social protection responses in terms of which programs to use, information about the people affected, and the extent of their losses. This paper studies optimal social protection responses to shocks, using microsimulations of different social assistance responses in Albania, Moldova, and North Macedonia. The paper shows that optimal design depends not only on the magnitude of the shock, but also on how the shock affects welfare rankings and on the parameters of the existing social assistance system, including the generosity of the schemes and how well they cover the poor. For given budgets, a universal transfer remains a suboptimal response. However, the extent to which existing programs should be expanded, as designed, to additional beneficiaries depends on the type of shock. When a shock tends to affect households homogeneously, increasing generosity and expanding the existing targeted social assistance program using established welfare metrics to assess eligibility is an effective response. When shocks affect households heterogeneously and bring some of them into extreme poverty, then pre-shock welfare indicators carry little information and policy makers should provide support through a new program or modified eligibility criteria, according to information on who suffered the shock. This analysis points to the importance of planning in advance for future crises and, within this, considering the optimal design of emergency social protection responses.

Uninsured risk had far-reaching consequences for rural growth as well as poverty reduction. A range of informal mechanisms to insure rural households against the impact of shocks, but they are a modest component of a risk layering strategy for well-off households and even less protective for low-income households. Formal insurance mechanisms have inherent market imperfections. State interventions to address these limitations have proven costly and generally are targeted poorly. Recent developments in microfinance as well as in insurance marketing have opened new possibilities for household risk reduction. Index insurance, such as weather indexing, addresses other inherent problems in insurance by using an indicator that is not affected by individual behaviour and may address monitoring costs and moral hazard. A number of innovations using index insurance are being tried currently in diverse settings ranging from India to Mongolia to Malawi. Marketing costs may limit the provision of such insurance to small farmers, but even in such cases microfinance institutes may serve as market intermediaries. Moreover, state and submational governments can use insurance to achieve countercyclical funding programs. In this vein, municipal governments in Mexico have used insurance to finance disaster contingency while the World Food Program has insured a portion of its emergency assistance to Ethiopia. Humanitarian organizations and NGOs may also seek insurance in this manner.

The roadmap aims to support the Royal Government of Cambodia (RGC) and its development partners in their current efforts in social assistance and disaster risk management. It aimed at policy makers, legislative bodies, UN agencies and donors at national and sub-national levels.

This book presents recent World Bank analytical work on the causes of violence and conflict in Columbia and the pilot lending programmes which have been designed to promote peace and help development. It is divided into three sections. The first sets the framework for the history of violence and the mechanisms of its propagation, looks at its costs and also at current policy initiatives to reduce it. The second part looks at the social economic causes of conflict and the costs of achieving peace. The last part reviews the recent experience of the World Bank in assisting countries that are experiencing, or have overcome, domestic armed conflict.