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Brochure, flyer, fact-sheetBrochureCosts and Benefits of Clean Energy Technologies in Kenya’s Vegetable Value Chain 2018
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No results found.This policy brief summarizes the policy recommendations stemming from the FAO Investing in Sustainable Energy Technologies for the Agrifood Sector (INVESTA) project. Here the focus is on how to foster investment and adoption of solar cold storage for tomatoes and green beans, and solar-powered water pumping in Kenya. -
Book (stand-alone)Technical bookCosts and benefits of clean energy technologies in the milk, vegetable and rice value chains
Intervention level
2018Also available in:
No results found.The report focuses on three food supply value chains, their costs, benefits and sustainability potentials were analysed together with unintended impacts at the intervention level (e.g. at farmer or food processor level). A methodological approach was developed to provide a sound and comprehensive cost-benefit analysis (CBA). The potential added value of these technologies for different stakeholders was then considered using selected case studies. The methodological approach highlights hidden environmental and socio-economic costs of interventions, such as government-subsidized fossil fuel, which are often borne by non-economic operators. Such costs and co-benefits were therefore included and highlighted in the analysis and compared to a simple financial analysis to inform investments. A range of 12 impact indicators was developed to assess potential non-monetized environmental and socio-economic impacts that could arise when introducing an innovative clean energy technology. Costs were compiled for each of the selected agrifood clean energy technologies, based on case studies where data were available. A CBA for intervention-level was then conducted to assess the impacts from adopting a specific technology, such as an improvement in the efficient use of energy. -
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Book (series)Working paperClimate resilience pathways of rural households: Evidence from Ethiopia 2018
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No results found.Climate variability and extreme events continue to impose significant challenges to households, particularly to those that are less resilient. By exploring the resilience capacity of rural Ethiopian households after the drought shock occurred in 2011, using panel data, this paper shows important socio-economic and policy determinants of households’ resilience capacity. Three policy indications emerge from the analysis. First, government support programmes, such as the Productive Safety Net Programme (PSNP), appear to sustain households’ resilience by helping them to reach the level of pre-shock total consumption, but have no impact on the food-consumption resilience. Secondly, the “selling out assets strategy” affects positively households’ resilience, but only in terms of food consumption – not total consumption. Finally, the presence of informal institutions, such as social networks providing financial support, sharply increases households’ resilience by helping them to reach preshock levels of both food consumption and total consumption. -
Brochure, flyer, fact-sheetBrochureTechnical Release — Somalia’s Food Insecurity Eases But Acute Malnutrition Remains High 2013
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Book (series)Technical reportPesticide residues in food 2015 Joint FAO/WHO Meeting 2016
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No results found.Report of the Joint Meeting of the FAO Panel of Experts on Pesticide Residues in Food and the Environment and the WHO Core Assessment Group on Pesticide Residues. The Meeting evaluated 29 pesticides, including 8 new compounds and 4 compounds that were re-evaluated within the periodic review programme of the Codex Committee on Pesticide Residues (CCPR), for toxicity or residues, or both. The Meeting allocated ADIs and ARfDs, estimated more than 300 maximum residue levels and recommended them for use by CCPR, and estimated STMR and highest residue (HR) levels as a basis for estimating dietary intake. The Meeting also estimated the dietary intakes (both short-term and long-term) of the pesticides reviewed and, on this basis, performed dietary risk assessments in relation to their ADIs or ARfDs. Cases in which ADIs or ARfDs may be exceeded were clearly indicated in order to facilitate the decision-making process of CCPR. The rationale for methodologies for long- and short-term dietary ris k assessment are described in detail in the FAO manual on the submission and evaluation of pesticide residue data for the estimation of maximum residue levels in food and feed.