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An ecosystemic framework for analysing evidence-informed policy systems for agricultural transformation

Case study of Benin












Thoto, F., Mas Aparisi, A. & Derlagen, C. 2023. An ecosystemic framework for analysing evidence-informed policy systems for agricultural transformation – Case study of Benin. FAO Agricultural Development Economics Working Paper 23-01. Rome, FAO. 




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    Policy brief
    Towards a more sustainable supply and use of evidence in agricultural policy in Benin 2023
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    The production and use of evidence for agricultural policy is critical to prioritizing and targeting effective agricultural transformation reforms in African countries. International development organizations, like FAO, have supported programmes that promote evidence-informed policies. This policy brief summarizes the findings from the FAO Agricultural Development Economics Working Paper 23–01 ‘An ecosystemic framework for analysing evidence-informed policy systems for agricultural transformation – Case study of Benin’, drawing on ecological science and social network analysis to develop and test a framework to map agricultural evidence-policy systems and understand their sustainability in Benin. Despite the evidence policy ecosystem in Benin comprising almost 50 organizations that supply, broker or demand agricultural policy evidence, this network does not leverage all possible connections to help circulate evidence due to a lack of brokering organizations. It also highlighted a disconnect between data as the preferred form of policy evidence and the prioritization by these organizations of data actually being produced. Although there is a relatively sustainable ecosystem in place to incentivize and use evidence for agricultural development, there is an over reliance on its funding from development partners. Finally, it provides policy recommendations with the key entry points including developing a strategic vison for agricultural research, strengthening agricultural data and further institutionalizing evidence use.
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    Book (series)
    Leveraging automation and digitalization for precision agriculture: Evidence from the case studies
    Background paper for The State of Food and Agriculture 2022
    2022
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    Digital and automation solutions for precision agriculture can improve efficiency, productivity, product quality and sustainability. Nevertheless, barriers to adoption of such solutions – including their cost, lack of knowledge and skills, and the absence of an enabling environment and infrastructure – can prevent producers from realizing these benefits. Building on findings from 22 case studies worldwide, this study finds that national data policies and infrastructure are key enablers of adoption, as is investment in connectivity (e.g. internet) and electricity in rural areas. Further research and information on the economic, environmental and social impacts of the solutions are also needed to provide evidence on their benefits. So too is investment in human capacity development, particularly digital literacy. To ensure an inclusive process, solutions must be adapted across agricultural production systems, regions and farm types. Partnerships and networks for exchanging information and promoting collaboration will key. Finally, awareness raising and communication are important since consumers can be skeptical about food being produced by new technologies. In summary, by focusing on a variety of solutions, this study provides a landscape analysis of digital and automation solutions and offers guidance to accelerate adoption for more inclusive, sustainable and resilient agrifood systems.
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    Book (series)
    Food safety risk management: Evidence-informed policies and decisions, considering multiple factors
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    2017
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    These FAO guidance materials were developed to support food safety risk managers and policy-makers in applying structured, evidence-informed processes to decisionmaking. Food safety issues can have widespread impacts beyond public health. They may contribute to, or detract from the achievement of goals in areas including nutrition, food security, food trade and market access, economic and rural development. The risk analysis paradigm guides risk managers to ensure their decisions are based on an assessment of risks to health, and consideration of other factors in choosing the preferred risk management decision. The materials assist decision-makers in applying a multi-factor approach and is applied to two key decision areas – setting food safety priorities, and selecting risk management options. The principles and approaches can be applied to all food safety decisions. Case studies are included as examples of how to apply this decision-making process. Using this guidance will lead to improved food safety decisions, where decision-makers can demonstrate how evidence was used and any trade-offs made. It also facilitates stakeholder engagement, transparency and accountability throughout the decision-making process.

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