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Developing sustainable and resilient agrifood value chains in conflict-prone and conflict-affected contexts

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Document
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Online Location
https://www.fao.org/3/cc6662en/cc6662en.pdf
Publication date
03/07/2023
Language:
English
Type of Publication:
Guidelines & Learning resources
Focus Region:
Global
Focus Topic:
Capacity Development
Agricultural Value Chains / Agri-Businesses
Other
Type of Risk:
Managerial & operational
Weather & Climate related
Author
Food and Agriculture Organization of the United Nations
Organization
Food and Agriculture Organization of the United Nations

Agrifood systems in the Near East and North Africa are characterized by increasingly degraded natural resources and vulnerability to climate change, rapid population growth and protracted crises. In addition, the region has been affected by conflict that has further exposed the fragilities and worsened the challenges already faced by communities.

Conflict negatively affects the poverty rate, the economic capacity and functioning of agrifood value chains and people’s ability to produce, distribute and access food. In volatile operating environments, resources, government spending and private investment are frequently diverted or reduced, with lasting impact on agri-food value chains and consequently nutrition and food security. Uncertainties inherent to these contexts can further undermine the relevance, efficiency and effectiveness of agri-food value chain development interventions, programmes and projects.

Investigating the connection between sustainable, resilient agrifood value chain development and the unique characteristics of the highly volatile situations in which they are operating, these practitioner guidelines propose a four-step approach for selection, analysis and design of agrifood value chains in conflict prone and conflict affected contexts. The approach aims to strengthen the resilience of agri-food value chains through systems-based solutions, adopting a context-sensitive programming approach and ensuring an adaptive programming effort through a Monitoring, Evaluation, Accountability and Learning (MEAL) framework, to facilitate testing and scaling-up.