1. Food Prices,
Poverty, and
Household Diets
Channing Arndt
Egypt NPS Seminar Series
Institute of National Planning,
Cairo, Egypt
May 22, 2023 | 2:00 to 4:00 pm
Photo credits: Mahmoud Diab/Unsplash
3. www.cgiar.org
IFPRI’s RIAPA Data & Modeling System
Rural Investment and Policy Analysis (RIAPA)
Forward-looking economywide framework that captures entire national economies, unpacks agrifood systems and subnational regions, and tracks how
policies, investments, and climate risks affect different sectors, workers and population groups
Dynamic
economywide
model
Value chain
tools (PPVC)
Investment
tools (AIDA)
Global models
(trade, world prices)
Agri-food system
GDP | Jobs
Water use | Resilience
Households
Poverty | Gender
Hunger | Diets
Nonfood policies &
investments
Demography &
macroeconomy
Outputs
Biophysical (crops,
livestock)
Infrastructure
(roads, water, power)
Integrating Models Covering Developing Countries
35 countries with RIAPA models
(3 still under development)
52%
Population Poor
82%
Hungry
73%
Capturing Agrifood Systems
Agriculture
Processors
Traders
Traders
Food services
Input suppliers
Agrifood system components
32.7
62.6 58.7
36.7
15.7
20.9
15.4
12.7
22.6
23.3
24.1
16.2
20.1
22.2
28.3
15.2
4.5
11.6
23.8
7.1 4.0 6.9 9.0
World LIC LMIC UMIC HIC
Share of agrifood GDP in 2019 (%)
LIC = Low-income countries | LMIC = Lower-middle
UMIC = Upper-middle | HIC = High
Foresight and Metrics to
Accelerate Food, Land and
Water Systems
Transformation
Contact Karl Pauw or James Thurlow
61%
Agric. jobs
21%
Global GHGs
Weblink Weblink
4. www.cgiar.org
Tracking Diet Costs and Quality
ReDD | Reference Diet Deprivation Index
RIAPA
CoRD
EAT-Lancet
WB ICP
ReDD
LSMS
Consumption
amounts
Price changes
0.69
0.64
0.60
0.59
0.55
0.52
0.51
0.49
0.42
0.41
Mozambique
Uganda
Ethiopia
Nigeria
Ghana
Rwanda
Senegal
Cambodia
Kenya
Bangladesh
Staples Vegetables Fruits Dairy Protein Fats
National ReDD indices
Deprivation gap decomposed by major food group
2015/16
2015/16
2016/17
2016/17
See Pauw et al. (2022)
Factoring diets into decision-making
ReDD is a compound deprivation measure
Incidence Share of pop. deprived in at least one food group
Breadth Number of food groups households are deprived in
Depth Average six of food consumption gap across groups
• Should consider dietary change alongside poverty, jobs
and other policy goals
• In addition to consumer preferences, diet quality depends
on the availability, cost, and affordability of healthy
foods
• RIAPA is a model that tracks both product
markets/prices and household incomes
• ReDD index is a gap measure: tracks how far
consumption levels are from a healthy diet, rather than
just counting deprived people
• ReDD can be tracked over time using household
surveys (not only used in models)
2014/15
2011/12
2016/17
2010/11
2016/17
2014/15
6. www.cgiar.org
Egypt: Poverty, stunting, and obesity/overweight
Source: Poverty and Equity Brief, 2023
Poverty Headcount Rates
Source: Egypt DHS 2014
Prevalence of obesity/overweight
Source: Estimated
by Global Obesity
Observatory
Nutritional Status of Children
8. www.cgiar.org
Food basket energy shares
Energy standard Healthy diet
Energy standard Healthy diet
Protein 152 207
Calcium 48 110
Iron 100 136
Magnesium 89 137
Phosphorous 132 172
Zinc 85 105
Copper 200 266
Vitamin C 62 212
Thiamin 79 119
Riboflavin 47 82
Niacin 105 128
Vitamin B6 95 130
Folate 71 166
Vitamin B12 52 146
Vitamin A 56 136
% of Avg. Requirements
Myanmar: the energy standard typically used to define food poverty
lines results in a food basket heavy in starchy staples & deficient in most
essential nutrients
Mahrt et al. 2022
9. www.cgiar.org
Nutrition (healthy diets) as a basic need recasts poverty
estimates
The poverty measures published by the World Bank
are anchored in a basic food basket the meets caloric
needs.
Healthy diet food poverty lines reflect food-based
dietary guidelines and cultural food norms of
relatively poor households
Aligns poverty measurement practice with the
modern paradigm of a healthy, balanced diet for all
Implications: Applying a healthy diets lens to poverty
measurement dramatically increases the proportion
of the poor in Myanmar
20
8
24
48
27
56
0
10
20
30
40
50
60
70
80
90
100
National Urban Rural
Energy-based poverty line
Healthy diet poverty line
Poverty Rate in Myanmar (% of population)
Mahrt et al. 2022
10. www.cgiar.org
IFPRI/CGIAR is Keen to:
• Continue to work with the Republic of Egypt, taking a responsive and demand driven approach, through
the National Policies and Strategies research initiative and via IFPRI’s office in Cairo.
• Further develop the Foresight and Rapid Response Modeling System (FARRMS) in close collaboration
with Egyptian and other partners.
• Engage with researchers in Egypt in projects of national and international relevance. An application of
the ‘nutrition as a basic need’ framework of poverty measurement to Egypt could be an example of such
a collaboration.
Notas do Editor
Note: Estimated average requirements in the table reflect the nutrient intake levels that satisfy the needs of half the population of healthy 30-year-old woman
Sources:
2015 Myanmar Poverty Living Conditions Survey: MoPF and World Bank. 2017b. Myanmar Poverty and Living Conditions Survey: Technical Poverty Estimate Report. Nay Pyi Taw, Myanmar.
Dietary guidelines adapted from Nahar, Q., S. Choudhury, M.O. Farugqu, S.S.S. Sultana, M.A. Siddiquee. 2013. Dietary Guidelines for Bangladesh. Dhaka: Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders.
Estimated average requirements obtained from Allen, L.H., Carriquiry, A.L., & Murphy, S.P. 2020. Perspective: Proposed Harmonized Nutrient Reference Values for Populations. Advances in Nutrition, 11(3): 469–483.
Food composition tables:
Institute of Nutrition, Mahidol University. 2014. ASEAN Food Composition Database, Electronic version 1, February 2014. Thailand.
MEXT (Ministry of Education, Culture, Sports, Science and Technology). 2015. Standard Tables of Food Composition in Japan - 2015 - (Seventh Revised Edition). Tokyo.
Scott, J. 2019. Nutrient Database for Fish in Myanmar. Unpublished database. Yangon, Myanmar: World Fish.
Shaheen, N., A.T.M.A. Rahim, M. Mohiduzzaman, C.P.Banue, M.L. Bari, A.B. Tukun, M.A. Mannan, L. Bhattacharjee, and B. Stadlmayr. 2013. Food Composition Table for Bangladesh. Dhaka, Bangladesh: University of Dhaka, Institute of Nutrition and Food Science.
Stadlmayr, B., U.R. Charrondiere, V.N, Enujiugha, R.G. Bayili, E.G Fagbohoun, B. Samb, P. Addy, I. Barikmo, F. Ouattara, A. Oshaug, I. Akinyele, G.A. Annor, K. Bomfeh, H. Ene-Obong, I.F. Smith, I.Thiam, B. Burlingame. 2012. West African Food Composition Table. Rome: FAO.
USDA (US Department of Agriculture), Agricultural Research Service, Nutrient Data Laboratory. 2016. USDA National Nutrient Database for Standard Reference, Release 28. Version Current: May 2016.