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Analyzing food security using household survey data / / Ana Moltedo, Nathalie Troubat, Michael Lokshin, Zurab Sajaia



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Autore: Moltedo Ana Visualizza persona
Titolo: Analyzing food security using household survey data / / Ana Moltedo, Nathalie Troubat, Michael Lokshin, Zurab Sajaia Visualizza cluster
Pubblicazione: Washington, D.C. : , : The World Bank, , [2014]
2014
Descrizione fisica: 1 online resource (xiv, 257 pages) : illustrations ; ; 24 cm
Disciplina: 363.8
Soggetto topico: Food security - Computer programs
Food security - Research - Data processing
Household surveys - Data processing
Household surveys - Statistical methods
Food security - Statistical methods
Persona (resp. second.): MoltedoAna
VilovKim
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
Nota di contenuto: Cover; Contents; Preface; Abbreviations; Chapter 1 Food Security; Introduction; Background; Sources of Food Consumption Data; Summary; Tables; 1.1: Comparison of Nutritional Dietary Surveys, National Household Surveys, and Food Balance Sheets; ADePT-Food Security Module; Notes; References; Bibliography; Chapter 2 Theoretical Concepts; Introduction; Food Data Collected in Household Surveys; Standardization Procedures; 2.1: Most Common Availability of Data by Source of Food Acquisition and Possible Limitations in Processing Data; 2.2: Atwater System; 2.3: Data Availability
Indicators on Food Security2.4: Summary Table on Procedures of Standardization in ADePT-FSM; 2.5: Population Groups; 2.6: FAO Food Commodity Groups' Classification to Process Household Surveys; 2.7: Food Security Statistics Produced for Each Category of Population Groups; 2.8: Food Security Statistics Produced for Each Food Commodity Group; 2.9: Food Security Statistics Produced for Each Food Commodity; Figures; 2.1: Example of Food Consumption Demand as Function of Income; 2.2: Graphical Representation of the Model; Annexes
2A.1: Example of Different Units of Measurement in Which Food Data Are Collected and Respective Conversion into Metric Units2B.1: Procedure 1: Steps 3 to 4; 2B.2: Procedure 1: Steps 5 to 6; 2C.1: Procedure 2: Steps 1 to 2; 2C.2: Procedure 2: Steps 3 to 5; 2D.1: Example of Calculation of Food and Total Price Temporal Deflators; 2E.1: Estimation of the Coefficient of Variation of Dietary Energy Consumption Due to Other Factors; 2F.1: Estimation of the Minimum Dietary Energy Requirement; Notes; References; Bibliography; Chapter 3 Guide to Output Tables; Introduction; Output Tables
1.1: Prevalence of Undernourishment Using Mainly Survey Data1.2: Prevalence of Undernourishment Using Mainly External Sources; 1.3: Selected Food Consumption Statistics by Population Groups; 1.4: Selected Food Consumption Statistics of Population Groups by Income Deciles; 1.5: Shares of Food Consumption by Food Sources (in Dietary Energy); 1.6: Shares of Food Consumption by Food Sources (in Dietary Energy) by Income Deciles; 1.7: Shares of Food Consumption by Food Sources (in Monetary Value); 1.8: Shares of Food Consumption by Food Sources (in Monetary Value) by Income Deciles
1.9: Food Consumption in Dietary Energy, Monetary, and Nutrient Content by Population Groups1.10: Nutrient Contribution to Dietary Energy Consumption; 1.11: Nutrient Contribution to Dietary Energy Consumption at Income Quintile Levels; 1.12: Nutrient Density per 1,000 Kcal; 1.13: Share of Animal Protein in Total Protein Consumption; 1.14: Within-Region Differences in Nutrient Consumption, by Regional Income Quintiles; 2.1: Food Consumption by Food Commodity Groups; 2.2: Contribution of Food Commodity Groups to Total Nutrient Consumption
2.3: Food Consumption by Food Commodity Group and Income Quintile
Sommario/riassunto: Since the end of the Second World War, the international community has been focusing on reducing the number and the proportion of people who suffer from hunger. Over time it became clear that no single indicator would provide a comprehensive picture of the food security situation. Rather, a suite of indicators is necessary to describe food insecurity in all its dimensions. The demand for evidence-based policies, which brings together providers such as statistical offices and users of food security indicators including policy makers and researchers, has also been increasing.
Altri titoli varianti: Streamlined analysis with ADePT software
Titolo autorizzato: Analyzing food security using household survey data  Visualizza cluster
ISBN: 1-4648-0140-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910786909903321
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