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Book (series)Методология ФАО по оценке ущерба и потерь в сельском хозяйстве 2024
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В настоящем документе представлена методология ФАО по оценке ущерба и потерь в качестве основы для выявления, анализа и оценки воздействия стихийных бедствий на сельское хозяйство, включая растениеводство, животноводство, аквакультуру (рыбное хозяйство), рыболовство и лесное хозяйство. Исследуется ее потенциал в качестве стратегического инструмента для сбора и интерпретации новой или существующей информации, которая необходима при принятии политических/стратегических решений и планов с учетом имеющихся рисков. -
Book (series)Guía de muestreo y estimación para el indicador ODS 2.4.1 utilizando marcos múltiples
Segunda edición
2024Also available in:
La presente guía enumera y describe el proceso de estimación del indicador 2.4.1 de los Objetivos de Desarrollo Sostenible (ODS), sostenibilidad de la agricultura, a través de sus subindicadores, y considerando diferentes niveles de desagregación en un país. Esta guía complementa la publicación de la FAO de 2021 “Guía de muestreo para el indicador 2.4.1 de los ODS”. Dicha guía presenta información útil desde una perspectiva general de muestreo y estimación, mientras que la presente publicación considera el uso de diseños de muestreo de marco dual en las encuestas agrícolas nacionales, que combinan marcos de áreas con marcos de listas. En el desarrollo de esta guía también se presentan los diseños de marcos duales y situaciones útiles para los países que usan encuestas agropecuarias basadas en estos mismos. Se usaron documentos metodológicos e informes de experiencias prácticas que definen la realidad de diversos países, entre los que se cuentan Colombia, Costa Rica, México y el Perú, como base para el desarrollo de los temas de esta guía, así como para formular ejemplos de conceptos básicos presentados en esta versión de la guía. El documento fue comisionado por la FAO y preparado por el consulente de la FAO Cristiano Ferraz bajo la supervisión del estadístico regional de la Oficina Regional de la FAO para América Latina y el Caribe. -
Book (series)Estimating the food value chain decomposition by industries and primary factors 2024
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No results found.This statistics working paper presents an estimation methodology for decomposing food expenditure across the industries and the primary factors of the food value chain (FVC). The approach outlined is based on the Global Food Dollar methodology developed by the Economic Research Service of the United States Department of Agriculture (USDA-ERS) and Cornell University. FAO has enriched the analytical scope of the methodology by adding the industry and primary factors decomposition. Country coverage has also been increased by adapting the methodology to different data types and sources. -
Book (series)Sampling and estimation guide for SDG Indicator 2.4.1 under multiframe designs 2024
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This guide describes the estimation process for Sustainable Development Goal (SDG) Indicator 2.4.1 on agricultural sustainability, considering its subindicators, across different levels of disaggregation within a country. It complements the 2021 Sampling guidance for SDG Indicator 2.4.1 published by FAO. While the former brings useful information concerning a general sampling and estimation perspective, this guide considers the use of dual-frame sampling designs in national agricultural surveys, which combine area frames with list frames. Although the focus is on dual-frame designs, the results described in this guide also apply to situations relevant to countries using agricultural surveys based on single area or list frames. Methodological documents and reports of practical experiences that reflect the realities of various countries, including Colombia, Costa Rica, Mexico and Peru, were used as the basis for developing the topics in this guide, as well as for providing examples of the fundamental concepts in this initial version. The paper was commissioned by FAO and prepared by FAO consultant Cristiano Ferraz under the supervision of the FAO Regional Office for Latin America and the Caribbean regional statistician. -
Book (series)Sampling and estimation guide for SDG Indicator 2.4.1: Version 1.0 2024
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This guide describes the estimation process for Sustainable Development Goal (SDG) Indicator 2.4.1 on agricultural sustainability, considering its subindicators, across different levels of disaggregation within a country. It complements the 2021 Sampling guidance for SDG Indicator 2.4.1 published by FAO. While the former brings useful information concerning a general sampling and estimation perspective, this guide considers the use of dual-frame sampling designs in national agricultural surveys, which combine area frames with list frames. Although the focus is on dual-frame designs, the results described in this guide also apply to situations relevant to countries using agricultural surveys based on single area or list frames. Methodological documents and reports of practical experiences that reflect the realities of various countries, including Colombia, Costa Rica, Mexico and Peru, were used as the basis for developing the topics in this guide, as well as for providing examples of the fundamental concepts in this initial version. -
Book (series)Guía de muestreo y estimación para el indicador ODS 2.4.1: Versión 1.0 2024
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La presente guía enumera y describe el proceso de estimación del indicador Objetivos de Desarrollo Sostenibles (ODS) 2.4.1, sostenibilidad de la agricultura, a través de sus subindicadores, y considerando diferentes niveles de desagregación en un país. Esta guía complementa la publicación de FAO de 2021 titulado “Guía de muestreo para el indicador 2.4.1 de los ODS”. Si bien la primera aporta información útil sobre una perspectiva general de muestreo y estimación, esta guía considera el uso de diseños de muestreo de marco dual en las encuestas agrícolas nacionales, que combinan marcos de áreas con marcos de listas. En el desarrollo de esta guía también se presentarán los diseños de marcos duales y situaciones útiles para países que usan encuestas agropecuarias basadas en estos mismos. Se usaron documentos metodológicos e informes de experiencias prácticas que definen la realidad de diversos países, entre los que se cuenta Colombia, Costa Rica, México y Perú, como base para el desarrollo de los tópicos de esta guía, así como para formular ejemplos de conceptos básicos presentes en esta primera versión. -
Book (series)A methodology for estimating disaster-induced crop and livestock losses at the global scale 2023
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No results found.Agriculture is particularly vulnerable to extreme climatic events, yet knowledge is lacking regarding the precise extent of losses caused by disasters in the sector. This analysis aims to provide the most extensive estimation of disaster losses (including non-hydrometeorological disasters) in the agricultural sector worldwide by including data from 197 countries and 186 commodities from 1991 to 2021, accounting for 12 000 time series and about 9 000 disaster events. The disaster events data is drawn from the Emergency Events Database (EM-DAT) and the records of yields, productions, cultivated areas, and prices for all commodities over the period from FAOSTAT. -
Book (series)Methods for estimating greenhouse gas emissions from food systems
Part V: Household food consumption
2023Also available in:
No results found.This paper is part of a series detailing new methodologies for estimating key components of agrifood systems emissions, with a view to disseminate the information in FAOSTAT. It describes methods for estimating greenhouse gas (GHG) emissions in households, which include fossil fuel-based energy use and non-renewable (i.e. beyond sustainable wood harvesting levels) woodfuel use. -
Book (series)Methods for estimating greenhouse gas emissions from food systems
Part VI: fluorinated gas emissions
2023Also available in:
No results found.This paper is part of a series detailing new methodologies for estimating key components of agrifood systems emissions, with a view to disseminate the information in FAOSTAT. It describes methods for estimating greenhouse gas (GHG) emissions from the agrifood system, and in particular fluorinated gases (F-gases) from refrigeration systems in the food system cold chain, from food processing to food transport, retailing and household consumption processes. Based on the proposed methodology, we build a new database of GHG from F-gases used in the agrifood system, by country and with global coverage, for the period 1990–2021. -
Book (series)Fall armyworm: measuring damage and loss caused by a novel invasive pest as a guide to sustainable management 2023
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No results found.The rise in global trade and human mobility, along with climate change-induced shifts in weather patterns, has led to the rapid transmission of invasive insect species, causing threats to agriculture, crop productivity, and public health. The fall armyworm (FAW), originally from the Americas, has become an invasive and highly destructive pest, causing significant agricultural losses worldwide. This paper aims to present a comprehensive analysis of FAW-induced maize losses, drawing from a diverse source of both qualitative and quantitative assessments.