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Book (stand-alone)Agrifood systems and COVID-19
Analysis of policy responses in countries with food crisis situations (2020-2021)
2022Also available in:
No results found.The report provides a comprehensive, cross-country analysis of the impact of COVID-19 on agrifood systems in 15 countries and territories experiencing food crisis. The cross-country analysis is based on individual country profiles and findings that are generally valid across the countries. Each country profile describes the policy measures enacted by governments, development and humanitarian partners to contain the virus, including measures taken to protect the functioning of agri-food systems from major disruptions. The profiles assess the effects of such measures on agrifood systems and vulnerable groups, including long-term implications and the investments necessary to make agrifood systems more resilient in future. The report is structured around key messages and findings that are generally valid across the profiles. Examples are used to illustrate some of the policy measures, their impacts and lessons learned. -
Book (stand-alone)The impact of COVID-19 on agriculture, food and rural areas in Central Asia and Caucasus countries
Final report of a study commissioned by FAO
2021Also available in:
No results found.This report contributes to the project ‘Securing agriculture and rural development in times of COVID-19, pathways to regional responses for recovery, reforms, and resilience’ by the Food and Agriculture Organization of the United Nations (FAO). The objectives of the report are threefold: 1) to assess the multiple impacts of the COVID-19 pandemic on agriculture, food security, and rural community; 2) to review the policy responses taken by the governments of eight Central Asia and Caucasus (CAC) countries to mitigate the effects of the crisis, and 3) to provide contextual options to build the resilience of the agricultural sector during post-COVID-19 recovery and against future shocks. -
Book (series)Targeting vulnerability hotspots along the agrifood system
A stress test for Ethiopia and Nigeria
2024Also available in:
No results found.We leverage the multi-stressor nature of the COVID-19 generalized disruption as an opportunity to test the out-of-sample forecasting accuracy of both theory-based and data-driven vulnerability prediction models for the ex ante targeting of preventive interventions. Taking advantage of the World Bank multitopic surveys for Ethiopia and Nigeria, the two most populous African countries, our retrospective evaluation assesses the models’ ability to anticipate households and agrifood system actors experiencing food insecurity and income losses during the COVID-19 pandemic. The results are disappointing: we document that, despite considerable heterogeneity across data and methods, both models do not achieve satisfactory out-of-sample forecasting performances. Our findings are robust to the use of different data, estimation methods, and several heterogeneity analyses and sensitivity checks. This evidence calls for a refinement of current profiling methodologies and for interoperability efforts to close existing microdata gaps. Such efforts would enable policymakers to implement more effective early-warning systems of vulnerability hotspots and improve the cost-effectiveness of development interventions aimed at targeting groups vulnerable to future food crises.
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