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National-level models to support the use of evidence in agrifood systems policy












Stewart, R. & Patiño-Lugo, D.F. 2024. National-level models to support the use of evidence in agrifood systems policy. Rome, FAO.




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    The Government of Indonesia and FAO have recognized the need for thorough analysis and modelling of Indonesia’s agrifood systems to support agrifood systems transformation efforts in the country. This is needed to provide a better understanding of the governance context in agrifood systems, including the political economy dynamics influencing performance, as well as to identify synergies and trade-offs across different policy goals and optimal policy mixes for achieving multiple policy objectives.In this regard, FAO facilitated a project to pilot an innovative approach to modelling for food systems transformation. This modelling approach was developed and implemented by a team of researchers from IFPRI, IIASA, IISD and Christian-Albrechts- University of Kiel. It uses three different economic models to generate insights that can assist Indonesian policymakers in developing technically sound and politically feasible policy interventions for agrifood systems transformation.This report provides context for agrifood systems transformation in Indonesia and describes the overall modelling approach before synthesizing the results of the individual modelling activities and distilling these into the overall findings of the modelling. It concludes with implications from these findings for policymaking for agrifood systems transformation in Indonesia and suggestions for the next steps.The results of this modelling and the insights drawn from these results are expected to support efforts to translate Indonesia’s commitments on agrifood systems transformation into concrete policy interventions and to inform medium- and long-term development planning by the Indonesian Government.
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    Policy brief
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    This policy brief summarizes the background, evidence and insights from the innovative governance modelling and analysis work developed in Indonesia under the "Governance Innovation for Sustainable Development of Food Systems” subprogramme. In addition, the brief offers guiding points and recommendations to support Indonesia's agrifood systems transformation efforts.The FVC subprogramme was carried out between 2020 and 2023 with funds from FAO's Flexible Voluntary Contribution (FVC). Together with Indonesia's national agency for planning and the Ministry of Agriculture as co-convener, the subprogramme supported the Directorate for Food and Agriculture in the Ministry of National Development Planning (BAPPENAS) leading the consolidation and implementation of the agrifood systems transformation agenda, including the UNFSS follow-up.The modelling and analytical work was conducted by a pool of researchers from the Christian Albrechts University of Kiel (CAU), the International Food Policy Research Institute (IFPRI), the International Institute for Applied Systems Analysis (IIASA), and the International Institute for Sustainable Development (IISD). The researchers elaborated their analysis on the concrete priorities of the country and provided insights about the agrifood systems’ performance, mapping synergies and potential trade-offs across identified interventions. The information package included an examination of the interests, roles, and contributions of stakeholders, allowing for the identification of alliances and coordination needed to ensure the coordination needed to ensure the political feasibility of their agrifood systems transformation plans.
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    This is an updated, second-edition brochure about the Analytical Support Mechanism for Agrifood System Country Programming and Evidence (SCOPE) initiative by the Food and Agriculture Organization of the United Nations (FAO), which is a corporate initiative designed to accelerate agrifood systems transformation at the country level by providing timely, tailored and evidence-based insights that inform United Nations country programming and national policy processes.

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