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Showing items 1 through 9 of 27.-
Library ResourceReports & ResearchOctober, 2016Malawi, Tanzania, Africa, Eastern Africa
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Library ResourceReports & ResearchDecember, 2016Malawi, Africa, Southern Africa
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Library ResourceReports & ResearchNovember, 2016Ethiopia, 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.
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Library ResourceReports & ResearchDecember, 2016Burkina 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.
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Library ResourceReports & ResearchDecember, 2016France, 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 -
Library ResourceReports & ResearchDecember, 2016Burkina 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 -
Library ResourceReports & ResearchDecember, 2016Burkina 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 -
Library ResourceReports & ResearchDecember, 2016Fiji, 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 -
Library ResourceReports & ResearchDecember, 2016Angola, 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 -
Library ResourceReports & ResearchDecember, 2016United 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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