Food insecurity in Sub-Saharan Africa: new estimates from household expenditure surveys
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Washington
International Food Policy Research Institute
2006
|
| Schriftenreihe: | Research report / International Food Policy Research Institute
146 |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XI, 122 S. |
| ISBN: | 0896291502 |
Internformat
MARC
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| 245 | 1 | 0 | |a Food insecurity in Sub-Saharan Africa |b new estimates from household expenditure surveys |c Lisa C. Smith ; Harold Aldermann and Dede Aduayom |
| 264 | 1 | |a Washington |b International Food Policy Research Institute |c 2006 | |
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Datensatz im Suchindex
| _version_ | 1804142567550353408 |
|---|---|
| adam_text | Contents
List of Tables iv
List of Figures vi
List of Boxes vii
Foreword viii
Acknowledgments ix
Summary x
1. Introduction 1
2. Conceptual and Empirical Basis for Measures of Food Insecurity 4
3. Data and Methods 17
4. Estimates of Food Insecurity 31
5. Comparison with FAO Estimates and Related Measures 44
6. Evidence on Cross-Country Comparability and Other Reliability Issues 63
7. Conclusion 69
Appendix A: Data Sets Not Included in the Study and Reasons Why 75
Appendix B: Data Collection and Processing by Country 77
Appendix C: Standard Errors for Estimates of Food Security Measures 98
Appendix D: Country Food Security Profiles 100
Appendix E: Methods of Estimating Global and Regional Food Energy
Deficiency Prevalences when Data Are Not Available for All Countries 112
Appendix F: Differences in Food Security Measures across Total Expenditure
Quintiles when Quintiles Are Not Based on Predicted Expenditures 114
References 116
ill
Tables
2.1 Indicators of food security employed and their measures 5
2.2 Comparison of daily per capita energy availability and consumption for
subnational samples from Kenya, the Philippines, and Bangladesh 11
2.3 Comparison of daily per capita energy availability and consumption for
subnational samples from Kenya, the Philippines, and Bangladesh, by total
expenditure quartile 13
3.1 Basic information on the surveys 19
3.2 Food data collection 21
3.3 Types of food data collected and methods of conversion to
metric quantities 23
3.4 Recommended daily caloric intakes 25
3.5 Data cleaning: Dropped households and predicted values 27
3.6 Household daily calorie availability per capita: Descriptive statistics 28
4.1 Estimates of food security and insecurity, by country 32
4.2 Urban-rural differences in estimates of food security and insecurity 39
4.3 Differences in estimates of food security and insecurity across total
expenditure quintiles 41
4.4 Differences in estimates of food security and insecurity for female- and
male-headed households 43
5.1 Comparison of HES and FAO estimates of national prevalences of food
energy deficiency 45
5.2 Comparison of HES and FAO estimates of national per capita dietary
energy requirement (kilocalories • person 1 ¦ day~ ) 48
5.3 Comparison of HES and FAO estimates of national per capita dietary
energy consumption (kilocalories • person 1 ¦ day 1) 49
5.4 Comparison of HES estimates of coefficient of variation (CV) of dietary
energy availability with FAO estimates of CV of dietary energy consumption 51
5.5 Differences and correlations between FAO and HES estimates of food energy
deficiency when FAO estimates are recalculated using HES parameters 52
5.6 Poverty and child malnutrition prevalences for study countries 57
TABLES v
5.7 Correlations between estimates of food energy deficiency and poverty and
child malnutrition 59
5.8 Expert opinion survey: Respondent rankings 61
5.9 Expert opinion survey: Comparison of country rankings with those derived
from FAO and HES estimates of food energy deficiency 62
5.10 Expert opinion survey: Tests of association of country rankings with those
derived from FAO and HES estimates of food energy deficiency 62
6.1 Food security indicators, by data collection method 64
6.2 Comparison of national prevalences of food energy deficiency estimated
with energy requirements applied at the household and national levels 66
6.3 Prevalences of food energy deficiency at alternative coefficients of variation
of dietary energy availability per capita 67
A. 1 Data sets not included in the study and reasons why 75
C.I Standard errors for estimates of food energy availability 98
C.2 Standard errors for estimates of food energy deficiency 98
C.3 Standard errors for estimates of household dietary diversity 99
C.4 Standard errors for estimates of the prevalence of low diet diversity 99
D.I Food security profile for Burundi, 1998 100
D.2 Food security profile for Ethiopia, 1999 101
D.3 Food security profile for Ghana, 1998 102
D.4 Food security profile for Guinea, 1994 103
D.5 Food security profile for Kenya, 1997 104
D.6 Food security profile for Malawi, 1997 105
D.7 Food security profile for Mozambique, 1996 106
D.8 Food security profile for Rwanda, 2000 107
D.9 Food security profile for Senegal, 2001 108
D. 10 Food security profile for Tanzania, 2000 109
D. 11 Food security profile for Uganda, 1999 110
D. 12 Food security profile for Zambia, 1996 111
F.I Differences in food security measures across total expenditure quintiles
when quintiles are not based on predicted expenditures 114
Figures
2.1 Conceptual framework for food and nutrition security 6
2.2 Comparison of probability distributions of household calorie availability
and consumption: A hypothetical example 10
2.3 Comparison of the percentage of food-energy-deficient households
estimated using energy availability and intake data from Kenya,
the Philippines, and Bangladesh (subnational samples) 11
3.1 Locations of study countries 18
3.2 Nonparametric density functions of household food energy availability
per capita estimated from household expenditure surveys 28
4.1 Percentage of people food energy deficient, by country 32
4.2 Prevalence of low diet diversity, by country 34
4.3 Prevalences of food energy deficiency and low diet diversity, by country 35
4.4 Tanzania: Percentage of households food energy deficient, by region 37
4.5 Tanzania: Percentage of households with low diversity, by region 38
5.1 Comparison of HES and FAO estimates of national prevalences of food
energy deficiency 45
5.2 FAO log-normal distribution framework 47
5.3 Comparison of HES and FAO estimates of national prevalences of food
energy deficiency when FAO estimates are recalculated using HES parameters 53
5.4 Comparison of HES estimates of national prevalences of food energy
deficiency with poverty 58
5.5 Comparison of HES estimates of national prevalences of food energy
deficiency with child malnutrition 59
Boxes
5.1 Expert Opinion Survey on Food Insecurity in Study Countries: Questionnaire 60
|
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| discipline | Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau Wirtschaftswissenschaften |
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| id | DE-604.BV025414683 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T22:33:49Z |
| institution | BVB |
| isbn | 0896291502 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020034867 |
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| physical | XI, 122 S. |
| publishDate | 2006 |
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| publisher | International Food Policy Research Institute |
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| series2 | Research report / International Food Policy Research Institute |
| spelling | Smith, Lisa C. Verfasser aut Food insecurity in Sub-Saharan Africa new estimates from household expenditure surveys Lisa C. Smith ; Harold Aldermann and Dede Aduayom Washington International Food Policy Research Institute 2006 XI, 122 S. txt rdacontent n rdamedia nc rdacarrier Research report / International Food Policy Research Institute 146 Aldermann, Harold Verfasser aut Aduayom, Dede Verfasser aut International Food Policy Research Institute <Washington, DC> Research report 146 (DE-604)BV000721261 146 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020034867&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Smith, Lisa C. Aldermann, Harold Aduayom, Dede Food insecurity in Sub-Saharan Africa new estimates from household expenditure surveys |
| title | Food insecurity in Sub-Saharan Africa new estimates from household expenditure surveys |
| title_auth | Food insecurity in Sub-Saharan Africa new estimates from household expenditure surveys |
| title_exact_search | Food insecurity in Sub-Saharan Africa new estimates from household expenditure surveys |
| title_full | Food insecurity in Sub-Saharan Africa new estimates from household expenditure surveys Lisa C. Smith ; Harold Aldermann and Dede Aduayom |
| title_fullStr | Food insecurity in Sub-Saharan Africa new estimates from household expenditure surveys Lisa C. Smith ; Harold Aldermann and Dede Aduayom |
| title_full_unstemmed | Food insecurity in Sub-Saharan Africa new estimates from household expenditure surveys Lisa C. Smith ; Harold Aldermann and Dede Aduayom |
| title_short | Food insecurity in Sub-Saharan Africa |
| title_sort | food insecurity in sub saharan africa new estimates from household expenditure surveys |
| title_sub | new estimates from household expenditure surveys |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020034867&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000721261 |
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