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Showing items 1 through 9 of 27.
  1. Library Resource
    Reports & Research
    November, 2016
    Ethiopia, Kenya, Malawi, Mozambique, Seychelles, Tanzania, Congo, Gabon, Burkina Faso, Mali, Niger, Guatemala, Honduras, Ecuador, Myanmar, Philippines, Bangladesh, Sri Lanka

    Cette publication présente les messages clés de la FAO sur le changement climatique et la sécurité alimentaire. Elle inclut des exemples du travail de la FAO pour aider les pays à s’adapter aux effets du changement climatique sur les secteurs agricoles. Elle rassemble les connaissances de la FAO sur le changement climatique les plus récentes, y compris les instruments et les méthodologies utilisés pour soutenir les engagements et les plans d’actions sur le changement climatique.

  2. Library Resource
    Reports & Research
    December, 2016
    Burkina Faso, Nigeria, United States of America, Mauritania, Gambia, Mali, Ethiopia, Ghana, Senegal, Guinea, Malawi, Niger, Sudan, Cape Verde, Kenya, Belgium, Lesotho, Uganda, Somalia, South Sudan, Chad, Africa, Eastern Africa

    In the Sahel, around 65 percent of the active population works in the agriculture sector and their livelihoods are therefore affected by climate change, markets and environmental factors. More than half of these are women. Recurring crises pose real concerns for the achievement of sustainable food and nutrition security in the region. The root causes of vulnerability to food insecurity and malnutrition are complex and multidimensional.

  3. Library Resource
    Reports & Research
    December, 2016
    France, Switzerland, Malawi, Spain, Germany, Ethiopia, Eritrea, Mozambique, Morocco, Philippines, Malaysia, Japan, Cambodia, Czech Republic, Argentina, India, Senegal, Chad, Mongolia, Bhutan, Hungary, Brazil, Netherlands

    Meeting Name: Commission on Genetic Resources for Food and Agriculture. Intergovernmental Technical Working Group on Plant Genetic Resources for Food and Agriculture
    Meeting symbol/code: CGRFA/WG-PGR-8/16/Inf.9
    Session: Sess. 8

  4. Library Resource
    Reports & Research
    December, 2016
    Burkina Faso, Benin, Nigeria, Nepal, Zambia, Albania, Venezuela, Guinea, Malawi, Costa Rica, Honduras, Mozambique, Nicaragua, Uganda, Moldova, Somalia, Madagascar, Ecuador, Senegal, Chad, Georgia, Armenia, Kenya

    Meeting Name: Commission on Genetic Resources for Food and Agriculture (CGRFA)
    Meeting symbol/code: CGRFA-16/17/16
    Session: Sess.16

  5. Library Resource
    Reports & Research
    December, 2016
    Burkina Faso, Bangladesh, Honduras, Nepal, Zambia, Mali, Ghana, Azerbaijan, Pakistan, Canada, Malawi, Costa Rica, Mozambique, Republic of Korea, Nicaragua, Moldova, Somalia, Madagascar, Kazakhstan, Sudan, Georgia, Armenia, Kenya

    Meeting Name: Commission on Genetic Resources for Food and Agriculture (CGRFA)
    Meeting symbol/code: CGRFA-16/17/16
    Session: Sess.16

  6. Library Resource
    Reports & Research
    December, 2016
    Fiji, Estonia, Kenya, Chile, Samoa, Germany, Vanuatu, Tonga, Malawi, Republic of Korea, Colombia, Thailand, Nepal, Japan, Kiribati, Hungary, Cameroon, Tanzania, Brazil, Argentina, Latvia, Mexico, Uganda, Czech Republic

    Meeting Name: Commission on Genetic Resources for Food and Agriculture. Ad Hoc Intergovernmental Technical Working Group on Aquatic Genetic Resources for Food and Agriculture
    Meeting symbol/code: CGRFA/AqGR-1/16/Inf.2
    Session: Sess. 1

  7. Library Resource
    Reports & Research
    December, 2016
    Angola, Zambia, Gambia, Burundi, Namibia, Democratic Republic of the Congo, Guinea, Malawi, Cameroon, Kenya, South Africa, Italy, Central African Republic, Senegal, Ethiopia, Togo, Brazil, Africa

    Meeting Name: African Forestry and Wildlife Commission
    Meeting symbol/code: FO:AFWC/2016/8.2
    Session: Sess. 20

  8. Library Resource
    Reports & Research
    December, 2016
    United States of America, Belgium, Philippines, China, Mexico, Canada, India, Malawi, Chad, Ghana, Africa

    Using detailed household-farm level data from Malawi, we measure real farm total factor productivity (TFP) controlling for a wide array of factor inputs, land quality, and transitory shocks. We nd that factor inputs are roughly evenly spread among farmers: operated land size and capital are essentially unrelated to farm TFP implying a strong negative eect on aggregate agricultural productivity. A reallocation of factors to their ecient use among existing farmers would increase agricultural productivity by a factor of 3.6-fold.

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