An assessment of the causes of malnutrition in Ethiopia: A ...

An assessment of the causes of malnutrition in Ethiopia: A ... An assessment of the causes of malnutrition in Ethiopia: A ...

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Table 3.2: Poverty headcount (2002), malnutrition indicators (2000), and per capita food production by region. Region Poverty head count ratio Urban Rural Total Food production, per capita Stunted Wasted Child malnutrition Tigray 60.7 61.6 61.4 159 55.3 11.1 47.9 Afar 26.8 68.0 56.0 12 47.6 12.6 50.5 Amhara 33.1 42.9 41.8 176 57.0 9.5 51.8 Oromiya 35.9 40.4 39.9 202 47.2 10.4 42.2 Somali 26.1 44.1 37.9 11 46.4 15.8 44.3 Underweight Benishangul- Gumuz 28.9 55.8 54.0 530 41.3 14.2 42.3 SNNP 40.2 51.7 50.9 78 55.4 11.8 53.7 Gambella 38.4 54.6 50.5 86 37.0 18.1 39.0 Harari 35.0 14.9 25.8 31 37.3 6.3 27.1 Addis Ababa 36.2 27.1 36.1 6 26.8 4.2 14.1 Dire Dawa 33.1 33.2 33.1 19 30.5 11.1 30.8 NATIONAL 36.9 45.4 44.2 -- 51.5 10.5 47.2 Source: For the poverty head count ratio MOFED 2002, MOFED. The per capita food production is computed using CSA data on cereal, oilseed, and pulse production for 1996/97-2003/4. For health and health related indicators, the source is the MOH Planning and Programming Department. Note: For SNNP root crops and vegetables, including enset, are very important crops but data on their production is not available for most of the years. For those years where data is available (2001/02 and 2002/03) the total per capita food production increases to 103 and 114 kg respectively. hand, communities in the central highlands maintain sedentary agriculture, which is based on crops and livestock. Separate assessments of food security status in different regions are required in order to tailor food aid programs to Ethiopia’s geographic, demographic, and cultural diversity. Between 2000 and 2004, per capita production of food crops was above the national average in three of the four major regions of the country (Tigray, Amhara, and Oromia). The national average for this period was 145.5 kg/person while the regional average was 164, 177 207, and 71 for Tigray, Amhara, Oromia, and SNNPR, respectively (EEA 2003/04). The regions with the highest food deficits, Afar and Somali, also have the highest level of child malnutrition (Table 3.2). The prevalence of wasted and underweight children in Afar in 2000 was 12.6 percent and 50.5 percent, while the national prevalence was 10.5 percent and 47.2 percent, respectively. As show in Figure 3.3, using the 225 kg/person/year food crop (grain) production (or 2.25 quintals/person/year) as a benchmark for measuring the food crop production deficit, the food deficit in drought prone regions in 2000 was high. In addition to the magnitude of malnutrition, Table 3.2 shows the poverty level and the average per capita food production for the 1996/97-2003/4 period by region. It is important to relate the data in this table to Figure 3.3. Note that Benishangul-Gumuz, a region with the highest per capita food production in all the reported years – producing above the FAO recommended yearly per capita food intake – nevertheless has the highest poverty measure. This indicates that high agricultural production does not guarantee poverty reduction or a reduction in malnutrition, since poverty is one of its basic determinants. 50

Figure 3.3: Per capita food production by major region – 1996/97 to 2003/04. Qt/person 4.000 3.500 3.000 2.500 2.000 1.500 1.000 0.500 0.000 1996/97 1997/98 1998/99 1999/2000 2000/01 2001/02 2002/03 2003/04 Year Tigray Per Capita Food Production Amhara Per Capita Food Production Oromia Per Capita Food Production Benshangul- Gumuz Per Capita Food Production SNNPR Per Capita Food Production FAO recommende d yearly food intake Source: Based on CSA data. A regional comparative analysis, using malnutrition and food insecurity indicators, for Ethiopia is reported by Devereux (2004). He considered stunting to be a measure of chronic or long-term food deficit and wasting as an indicator of short-term or acute food insecurity. He reported similar figures to those shown in Table 3.2 and made a region-byregion comparison. An aggregate relationship indicator was not reported. A simple correlation analysis between poverty and food insecurity indicators and that of a weighted aggregate index of malnutrition was done for this study. Food insecurity is measured by the food gap per capita. A simple Pearson correlation coefficient of 0.66 between poverty level and malnutrition and 0.24 between food insecurity and malnutrition is obtained. The high correlation between poverty and malnutrition suggests that poverty indeed is one of the major basic determinants of malnutrition, whereas the considerably lower correlation between food insecurity and malnutrition suggests that non-food determinants of malnutrition are of equal if not more important than the food related determinants. One of the implications is that a food-biased strategy to reduce malnutrition will not be adequate. Of course, this is a preliminary assessment that should be further tested with detailed analysis using pooled time-series cross-sectional data. 3.4.5. Poverty and malnutrition: The rural-urban dimension The issue of food insecurity in Ethiopia cannot be resolved until the twin problems of poverty and insufficient food supply at national level are addressed. In order to design a comprehensive response to the problem of food insecurity and malnutrition, rural poverty has to be tackled, since it is the root cause of these problems there. As shown in Table 3.3, malnutrition is significantly higher in rural areas than in the urban centers. A literature review also gives detailed insights into rural-urban and regional variations in terms of food and nutrition issues. Kaluski et al. analyzed the aggregate food security of the regions of Ethiopia in 1999 according to availability, accessibility and adequacy and the estimated size of the needy population in each. Regional needs vary. Some of the highest prevalence rates of malnutrition were found in the food-surplus regions of the country. For example, Oromiya showed high malnutrition rate, especially in elderly and 51

Figure 3.3: Per capita food production by major region – 1996/97 to 2003/04.<br />

Qt/person<br />

4.000<br />

3.500<br />

3.000<br />

2.500<br />

2.000<br />

1.500<br />

1.000<br />

0.500<br />

0.000<br />

1996/97 1997/98 1998/99 1999/2000 2000/01 2001/02 2002/03 2003/04<br />

Year<br />

Tigray Per<br />

Capita Food<br />

Production<br />

Amhara Per<br />

Capita Food<br />

Production<br />

Oromia Per<br />

Capita Food<br />

Production<br />

Benshangul-<br />

Gumuz Per<br />

Capita Food<br />

Production<br />

SNNPR Per<br />

Capita Food<br />

Production<br />

FAO<br />

recommende<br />

d yearly<br />

food <strong>in</strong>take<br />

Source: Based on CSA data.<br />

A regional comparative analysis, us<strong>in</strong>g <strong>malnutrition</strong> and food <strong>in</strong>security <strong>in</strong>dicators,<br />

for <strong>Ethiopia</strong> is reported by Devereux (2004). He considered stunt<strong>in</strong>g to be a measure <strong>of</strong><br />

chronic or long-term food deficit and wast<strong>in</strong>g as an <strong>in</strong>dicator <strong>of</strong> short-term or acute food<br />

<strong>in</strong>security. He reported similar figures to those shown <strong>in</strong> Table 3.2 and made a region-byregion<br />

comparison. <strong>An</strong> aggregate relationship <strong>in</strong>dicator was not reported.<br />

A simple correlation analysis between poverty and food <strong>in</strong>security <strong>in</strong>dicators and that<br />

<strong>of</strong> a weighted aggregate <strong>in</strong>dex <strong>of</strong> <strong>malnutrition</strong> was done for this study. Food <strong>in</strong>security is<br />

measured by <strong>the</strong> food gap per capita. A simple Pearson correlation coefficient <strong>of</strong> 0.66<br />

between poverty level and <strong>malnutrition</strong> and 0.24 between food <strong>in</strong>security and <strong>malnutrition</strong> is<br />

obta<strong>in</strong>ed. The high correlation between poverty and <strong>malnutrition</strong> suggests that poverty <strong>in</strong>deed<br />

is one <strong>of</strong> <strong>the</strong> major basic determ<strong>in</strong>ants <strong>of</strong> <strong>malnutrition</strong>, whereas <strong>the</strong> considerably lower<br />

correlation between food <strong>in</strong>security and <strong>malnutrition</strong> suggests that non-food determ<strong>in</strong>ants <strong>of</strong><br />

<strong>malnutrition</strong> are <strong>of</strong> equal if not more important than <strong>the</strong> food related determ<strong>in</strong>ants. One <strong>of</strong> <strong>the</strong><br />

implications is that a food-biased strategy to reduce <strong>malnutrition</strong> will not be adequate. Of<br />

course, this is a prelim<strong>in</strong>ary <strong>assessment</strong> that should be fur<strong>the</strong>r tested with detailed analysis<br />

us<strong>in</strong>g pooled time-series cross-sectional data.<br />

3.4.5. Poverty and <strong>malnutrition</strong>: The rural-urban dimension<br />

The issue <strong>of</strong> food <strong>in</strong>security <strong>in</strong> <strong>Ethiopia</strong> cannot be resolved until <strong>the</strong> tw<strong>in</strong> problems <strong>of</strong><br />

poverty and <strong>in</strong>sufficient food supply at national level are addressed. In order to design a<br />

comprehensive response to <strong>the</strong> problem <strong>of</strong> food <strong>in</strong>security and <strong>malnutrition</strong>, rural poverty has<br />

to be tackled, s<strong>in</strong>ce it is <strong>the</strong> root cause <strong>of</strong> <strong>the</strong>se problems <strong>the</strong>re. As shown <strong>in</strong> Table 3.3,<br />

<strong>malnutrition</strong> is significantly higher <strong>in</strong> rural areas than <strong>in</strong> <strong>the</strong> urban centers.<br />

A literature review also gives detailed <strong>in</strong>sights <strong>in</strong>to rural-urban and regional<br />

variations <strong>in</strong> terms <strong>of</strong> food and nutrition issues. Kaluski et al. analyzed <strong>the</strong> aggregate food<br />

security <strong>of</strong> <strong>the</strong> regions <strong>of</strong> <strong>Ethiopia</strong> <strong>in</strong> 1999 accord<strong>in</strong>g to availability, accessibility and<br />

adequacy and <strong>the</strong> estimated size <strong>of</strong> <strong>the</strong> needy population <strong>in</strong> each. Regional needs vary. Some<br />

<strong>of</strong> <strong>the</strong> highest prevalence rates <strong>of</strong> <strong>malnutrition</strong> were found <strong>in</strong> <strong>the</strong> food-surplus regions <strong>of</strong> <strong>the</strong><br />

country. For example, Oromiya showed high <strong>malnutrition</strong> rate, especially <strong>in</strong> elderly and<br />

51

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