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Improved Agroeconomic Information System for Better Decision Making Within Hand in Hand Initiative - TCP/ANG/3802








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    Brochure, flyer, fact-sheet
    FAO COVID-19 Response and Recovery Programme - Data for decision-making
    Ensuring quality data and analysis for effective policy support to food systems and Zero Hunger
    2020
    The COVID-19 health crisis is having wide-reaching effects on all parts of society, including on food systems, livelihoods and food security. Timely and reliable information is essential to anticipate and mitigate its negative impacts, in particular, to identify those areas where the pandemic is generating new and unprecedented stress. Traditionally food insecurity hotspots in emergency contexts are most affected, also due to difficulties in supplying humanitarian assistance. In addition, depending on the response to the pandemic, new pockets of food insecurity may appear, even in countries and populations that have not previously been the focus of food security crises. In response to the COVID-19 pandemic, FAO is reorienting and upscaling its work on data, information and analysis. Data for decision-making aims to equip countries to implement timely and effective responses to the COVID-19 crisis and promote a swift recovery thereafter. In the framework of FAO’s comprehensive COVID-19 response, the data for decision-making programme is structured around four components: Rapid, repeated assessments of the impact of COVID-19 on food insecurity, using the Food Insecurity Experience Scale (FIES); Leveraging innovative data sources to monitor the impact of COVID-19; Adapting agricultural data collection methods to meet new demands, while maintaining the continuity of technical assistance on agricultural surveys; Evidence-based policy support for post-COVID-19 economic and social recovery.
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    Brochure, flyer, fact-sheet
    Strengthening agro-climatic monitoring, analysis, communication and use of data and information for decision-making and food security in the agricultural sector in the Lao People’s Democratic Republic
    SAMIS PROJECT / Component 1
    2019
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    The leaflet present the activities of the first component of the project “Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptation to climate change and food security in Lao PDR”. The component, implemented in strict collaboration with the Department of Meteorology and Hydrology (DMH), Ministry of Natural Resources and Environment, is titled “Strengthening agro-climatic monitoring, analysis, communication and use of data and information for decision making in agriculture and food security”. The activities includes the installment of agro-meteorological stations, the setup of a Laboratory for agro-meteorological analysis and instrument calibration, the implementation of the Laos Climate Services in Agriculture (LaCSA) system for modelling and distribution of climate services to farmers, and the facilitation of a process to ensure national Standard Operation Procedure are followed.
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    Book (series)
    True cost accounting applications for agrifood systems policymakers
    Background paper for The State of Food and Agriculture 2023
    2023
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    This background paper to The State of Food and Agriculture 2023 introduces true cost accounting (TCA) as an approach to measure and value the costs and benefits generated by agrifood systems in order to facilitate improved decision-making. The paper is based on a systematic review of existing TCA approaches and of relevant case studies in agrifood systems. Guidance on conducting TCA is provided, especially in relation to data collection. The paper ends with a discussion on scaling and harmonizing TCA for agrifood systems transformation. Based on a systematic literature review, the paper describes seven TCA approaches and identifies nine case studies deemed most relevant to policymakers in agrifood systems. It then proceeds to describe the different stages and steps needed to undergo a TCA study, such as: setting the boundaries of their assessment; determining the materiality of indicators; and estimating data points that are not readily available. The latter is particularly important given that a lack of (robust) data at low cost is potentially the main barrier to applying and scaling up TCA, especially in middle- and low-income countries. Because a TCA study requires a substantial amount of data to be collected, it is important to start with the data that are available and use this to determine which data points are crucial to answering a given policy question, to then focus on refining the available data points and filling in missing data points that are essential to the analysis. Another important bottleneck to scaling up TCA is the issue of harmonization, which the paper argues is impeded by the number of approaches available. As future steps for scaling up TCA, harmonization by integrating methodologies and adopting shared principles, ideas and requirements, is thus recommended.

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