Description
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The family farm dataset comes from a data collection conducted from July to October 2020 within two CGIAR Research Programs on Policies, Institutions, and Markets (PIM) and on Livestock (LIVESTOCK). The two CRP programs aimed to empower the CGIAR response to a sanitary crisis in analyzing the impacts of the COVID-19 pandemic. Here, we proposed to focus on the effects of the confinement on the agricultural productive systems with a particular attention to the gendered impacts in one country of the Mediterranean and Northern Africa region (MENA), Egypt. This dataset gathers the raw data collected among 210 respondents equally distributed between man and women respondents in two contrasted zones of Egypt, i.e. the old land along the Nile valley and the New land in the Western part of the Nile Delta. The raw data have been based on a semi-structure questionnaire (supplemental material). We collected sex-disaggregated data on the pandemic impacts and coping mechanisms in the crop and livestock domains (from production, to consumption to sales), on access to water and on personal lives. With increased dependence on digital interventions during the course of the pandemic, we also paid attention to phone ownership and access and preferred means for receiving digital information.
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Keyword
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agriculture, crop residues, forage, impact assessment, livestock, seeds, wheat, sheep, goats, fattening, irrigation water, drinking water, garlic, vegetables, silage, maize, peanuts, yoghurt, agricultural products, hay, milk, sesame, dairy products, vitamins, vaccination, sugar beet, cattle, potatoes, cotton, alfalfa, fruits, pigs, agricultural cooperatives, beans, poultry, butter, parasites, mastitis, feedstuffs, covid-19, sex-disaggregated data, cows, cream, bran, molasses, oilseed cakes, buffalo breeds, citrus fruits, fever, flax, foot and mouth disease, lice, malaria, mineral salts (nutrients), rift valley fever, roses, roughage, poxviridae, sweet peas, bovine ephemeral fever virus, tuberculosis, typhoid, veterinarians, yeasts |
Notes
| Type: Dataset; Sub-type(s): Socio-Economic Survey Data |