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Agriculture and malnutrition
Will Masters Friedman School of Nutrition Science & Policy and Department of Economics, Tufts University Based on D. Headey and W.A. Masters, “Agriculture and malnutrition”, ch. 9 in Agricultural Development: New Perspectives in a Changing World, edited by K. Otsuka and S. Fan, forthcoming from Oxford University Press. Research funded by UKAid through the UK Department for International Development and the Bill & Melinda Gates Foundation, via the ARENA and CANDASA projects. ICAE 2018 session on Positioning Agriculture for the SDGs Vancouver, BC – August 1st 2018
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What’s ahead Foundations Data Opportunities
Malnutrition is a disease of early infancy, not a consumption choice Causal framework starts with livelihoods and income, then prices Technological and institutional changes cause structural shifts Data Stunting and farm employment Food prices and markets Opportunities Agriculture, nutrition and markets
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Malnutrition begins early, not a consumption choice
Stunting, wasting and anemia prevalence in 44 countries, 0-60 months of age Early onset of stunting is well known, but note how anemia and wasting both decline after 12 mo. Anemia Stunting Wasting Source: Authors’ estimates from DHS data for 44 countries, with samples sizes of 296,370 (stunting), 284,784 (wasting), and 139,356 (anemia). Estimates are based on local polynomial smoothing using the LPOLY command in Stata 14.
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Better nutrition requires more and different foods
Source: Choudhury, Headey & Masters (2018), from DHS data (47 surveys in 39 countries, , total sample size = 67,241) Child age (in months) Number of food groups (out of 12) fed in previous day, 0-24 months of age Richest 20% Middle quintile Poorest 20% Even in the richest hhlds, infants reached four groups only after 12 mo. Infants in most surveyed households did not reach four groups by 24 mo. WHO threshold is 4 food groups after 6 mo. of age Child age (months)
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Better nutrition requires more and different foods
Source: W.A. Masters, “Rural transformation and nutrition transition: Same pathways, different speeds?" PIM workshop on Rural Transformation in the 21st Century, International Conference of Agricultural Economists, 28 July Data are from FAO Food Balance Sheets, downloaded 14 July Europe includes all of the former Soviet Union.
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So how do health researchers see agriculture-nutrition linkages?
Causality runs in all directions, and many omitted variables Need RCTs or natural experiments to identify effect sizes A causal pathways diagram The UNICEF framework The social-ecological model A system dynamics model
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And how do economists see agriculture-nutrition linkages?
Causality runs in all directions, and many omitted variables Need RCTs or natural experiments to identify effect sizes but we can draw on a long literature of structural modeling about agricultural production, food markets, and consumer behavior An individual household (here, a “net seller” of nutritious food) A community of farm households (here, they “export” nutritious food) Qty. of the farm household’s other goods (kg/yr) Nutrition: Diets & behavior Price of nutritious foods (pesos/kg) Agriculture: natural resources and technology Consumption Supply curve Indifference curve Production Price in trade Production Consumption Markets & policy: Interactions between people Agriculture: natural resources and technology Markets & policy: Interactions between people Demand curve Production possibilities frontier Nutrition: Diets & behavior Price in trade Qty. of farm household’s nutritious foods (kg/yr) Qty. of the region’s nutritious foods (tons/yr)
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Agriculture-nutrition linkages as described in words for the Otsuka-Fan book chapter
Linkages from agriculture to nutrition and health outcomes 1. Real income Farm profits Nonfarm earnings 2. Relative prices Relative prices and availability of food Price stability over time (seasonality and periodic spikes) Price disparities in space (isolation and market access) 3. Living conditions Time use of parents and children Exposure to pathogens and physical risks Empowerment of women and children Access to nutrition-relevant goods and services
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Income, prices and living conditions all play key roles in child stunting
In Africa, there are clear farm-to-nonfarm and rural-to-urban gradients In S. Asia, all rural workers and also urban manual workers have high stunting rates no malnutrition= 2.5% Permanent income, as measured by real assets Same asset list Source: Data shown are from Demographic and Health Surveys. Rural/urban classifications follow the DHS (national) definitions, except that all farming households are classified as rural. Circle sizes reflect the size of the sample of children in each locality-occupation class. Ideally this should measure should use sample weights, since the DHS over-samples urban areas, but since many surveys are several years old we do not apply weights in order to allow for recent urbanization trends. The 6 assets in question are a TV, motorbike, car, refrigerator, electrification, and an improved floor material. The four countries in South Asia are India, Pakistan, Bangladesh and Nepal.
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Slides for PIM workshop at ICAE
Countries and regions differ greatly in their demographic circumstances Number of people (billions) China's rural population stopped growing in the early 1990s India's rural population will stop growing in the 2020s Africa's rural population will keep growing through the 2050s 2018 Data shown are author’s calculations from UN World Urbanization Prospects, 2014 Revision, from
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African countries have more workers in agriculture
at each level of national income Ag’s share of the workforce has remained much higher in Africa than elsewhere and did not shift down from 1991 to 2010 Reprinted from W.A. Masters, N.Z. Rosenblum and R.G. Alemu, Agricultural transformation, nutrition transition and food policy in Africa. Journal of Development Studies, 54(5):
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African countries have more children who are stunted at each level of national income
Africa’s stunting rates are higher than others at each level of real per-capita income but all benefited from innovation in maternal & child health since the 1990s Reprinted from W.A. Masters, N.Z. Rosenblum and R.G. Alemu, Agricultural transformation, nutrition transition and food policy in Africa. Journal of Development Studies, 54(5):
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Slides for PIM workshop at ICAE
Another approach to structural change is through Lorenz Curves If harvested land area were distributed equally among all rural people, the Lorenz curve would be a diagonal line Thinner, lighter curve is 1970 From 1970 to 2010, the global distribution of harvested land area per rural person became more unequal Thicker, darker curve is 2010 at the top, among land-rich countries India and China switched places in the global distribution of farmland/rural person Source: W.A. Masters, W. Bell and K. Lividini, Inequities in global agriculture, dietary intake and health outcomes (working paper, forthcoming).
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Slides for PIM workshop at ICAE
Diet quality (e.g. consumption of protein) has become more equal China rose from below to above the global median This will be replaced by a figure from Keith so that all food visuals come from GENuS Source: W.A. Masters, W. Bell and K. Lividini, Inequities in global agriculture, dietary intake and health outcomes (working paper, forthcoming).
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Slides for PIM workshop at ICAE
Consumption of animal-sourced foods has become much more equal African countries (in light green) are among those with the least access to animal-sourced foods This will be replaced by a figure from Keith so that all food visuals come from GENuS Source: W.A. Masters, W. Bell and K. Lividini, Inequities in global agriculture, dietary intake and health outcomes (working paper, forthcoming).
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Slides for PIM workshop at ICAE
Consumption of vitamin A has also become more equal, but only among higher-intake countries But increased equality in vitamin A consumption has occurred only in vitamin-A rich countries Countries with below-median consumption have had no increase in their share of global vitamin A Keith Source: W.A. Masters, W. Bell and K. Lividini, Inequities in global agriculture, dietary intake and health outcomes (working paper, forthcoming).
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One barrier to nutrition convergence is that more nutritious foods may be more costly in poor countries Source: Data are extracted from Headey, et al. (2017b). Red lines show LOWESS curves to allow for non-linear functional forms. Individual observations are marked by the following regional groupings: Sub-Saharan Africa (SSA), Latin America and Caribbean (LAC), South Asia and East Asia (ASIA), Middle East and North Africa (MENA), all other countries in Europe, North America, and Australasia (Other).
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Price premiums for the most nutritious foods
are highest in the poorest countries Source: Data are extracted from Headey, et al. (2017b). Red lines show LOWESS curves to allow for non-linear functional forms. Individual observations are marked by the following regional groupings: Sub-Saharan Africa (SSA), Latin America and Caribbean (LAC), South Asia and East Asia (ASIA), Middle East and North Africa (MENA), all other countries in Europe, North America, and Australasia (Other).
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Price premiums for more nutritious foods
have more seasonality than the cost of energy Monthly variation in cost of nutrient adequacy vs daily energy in Tanzania, Blue bars are a least-cost diet for energy plus 17 nutrients Orange bars are a least-cost diet for just daily energy 2011 US dollars per day Note: Data shown are coefficient and 95% confidence interval on calendar month indicators, relative to May. Orange bars for cost of calorie adequacy (CoCA) not significantly different from zero. Source: Bai, Naumova and Masters (2018), Seasonality in Food Prices and the Cost of a Nutritious Diet in Tanzania. Working paper, forthcoming.
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Price premiums for fortified infant cereals
may be especially important for child nutrition Source: Data are extracted from Headey, et al. (2017b). Red lines show LOWESS curves to allow for non-linear functional forms. Individual observations are marked by the following regional groupings: Sub-Saharan Africa (SSA), Latin America and Caribbean (LAC), South Asia and East Asia (ASIA), Middle East and North Africa (MENA), all other countries in Europe, North America, and Australasia (Other).
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The market for infant foods is really weird
For multinational brands, prices are higher in poorer countries Local generics have similar prices in all countries
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The actual content of fortified cereals
is unpredictable and often below standards Tested composition of 108 samples from 22 developing countries, relative to zinc and iron content of WFP SuperCereal+ Less than 1/5th (17%) of samples meet or exceed zinc & iron benchmarks Most (63%) are below both benchmarks These differences turn out to be uncorrelated with what’s on the label about ingredients or nutrients, packaging quality or price Source: Masters, Nene and Bell (2016) in Maternal & Child Nutrition
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The actual content of “fortified” cereals
is often far below what infants need Modeled deficit (or surplus) of nutrients by age Age (in months) Inadequate fat at months Inadequate iron at 6-9 months Inadequate zinc at 6 months Boxes show 25th-50th-75th percentile; whiskers extend to +/- 1.5 IQR; circles show outliers. Source: Masters, Nene and Bell (2016) in Maternal & Child Nutrition
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Research could potentially lead to
new quality standards December 20, 2016
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Positioning agriculture for the SDGs in nutrition
Conclusions: Positioning agriculture for the SDGs in nutrition Foundations Malnutrition is a disease of early infancy, not a consumption choice Causal framework starts with livelihoods and income, then prices Technological and institutional changes cause structural shifts Data Rural demography drives land/labor ratios Less stunting, dietary equality shows progress is possible Price gaps reveal room for gains from trade Improving nutrition calls for higher standards, not just low prices Opportunities Agriculture to raise the floor of living standards Nutrition to improve maternal and child health Product standards and other policies to improve marketed foods
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