FOOD ACCESSIBILITY, A VIABILITY AND STABILITY IN RURAL WHITE NILE STATE OF SUDAN
Transcript of FOOD ACCESSIBILITY, A VIABILITY AND STABILITY IN RURAL WHITE NILE STATE OF SUDAN
FOOD ACCESSIBILITY, A VIABILITY AND STABILITY IN RURAL
WHITE NILE STATE OF SUDAN
ABDEL SAMI MUSA IBRAHIM1, SHIWEI XU
2 & WEN YU
3
1Research Scholar, Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of
Digital Agricultural Early-Warning Technology, Ministry of Agriculture, Beijing, China
1Food Security Administration, Ministry of Agriculture Forestry, Animal Wealth and Irrigation, White Nile State, Sudan
2Professor, Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
3Assistant Professor, Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
ABSTRACT
Food security is a major problem which affects economy increasing in Sudan and other parts of Africa. Here,
through this study we had tried to know the pattern of food consumption and the food security status in White Nile State of
Sudan. The measurement of food security in the State was achieved through a household survey by questionnaire in 2012.
Through the indicators of Self-sufficiency rate and market rate, social factors had been confirmed to influence food
security status for the rural household through crops production, livestock production or household income. Using the co-
efficiency variation (CV) for Aggregated Price (ap) to the food groups, and Microsoft offices Excel 2007, the result shows
5 food groups had different level to central tendency, where vegetables 0.3 and sugar has zero dispersion among all foods
groups; in other hand, cereal grains and livestock groups had the same dispersion to the central tendency estimated 0.1. In
addition, we found that household spending 70.4% of total income on food items. Advocacy to increase self-sufficiency
rate from cereal grains mainly for all of the state population especially the state have relative resource to produce more
food.
KEYWORDS: Indicators of Food Security, Socio-Economic Factors, Rural Household, White Nile State of Sudan
INTRODUCTION
Food security is one of the major challenge which affects the growth and growing economies in the world. It is a
factor which continuously affecting politics and people well-being dramatically; in particular the countries of the 3rd
World. Sudan is one of among those countries which facing problems of food security especially in rural areas, where we
through this study had tried to know the pattern of food production and the food security status in rural areas of White Nile
State of Sudan; and which social factors that may influence food consumption behavior and household food security status.
Generally, food security pattern in Sudan depends on economic and social factor which can mentioned as
geographical factors, agricultural policies, marketing system and population demographic structure. Majlesi et al (2001)
mentioned that some social factors in developing countries influence food consumption and children growing up such as;
family size, education, parents job, socio-economic status, their knowledge about proper nutritional methods, prenatal care,
household head age, mothers weight, newborns sex, etc. In Sudan, more than 60% of the population reanimate in rural
areas with lacking of the basic services and overburdened by poverty particularly women and children (Yonos, 2001).
Hoida, (2012) reported that food security in Sudan is very risky in spite of the potential and resources endowment
of Sudan. FAO and WFP assessment mission (2010), reported that rural population of White Nile State of Sudan is made
International Journal of Agricultural
Science and Research (IJASR)
ISSN 2250-0057
Vol. 3, Issue 4, Oct 2013, 43-56
© TJPRC Pvt. Ltd.
44 Abdel Sami Musa Ibrahim, Shiwei Xu & Wen Yu
up subsistence farmers plowing traditional rain-fed farms whom are cultivate small plots 2-5 feddans, small producer
sowing sorghum as (an staple food) for their own consumption and keeping some of livestock for the same reasons.
White Nile State lies at the border of the South Sudan, (Latitude: 13° 16' 27" N and Longitude: 32° 26' 59" E),
population of the state is estimated at 1.73 millions of inhabitants (NBHS, White Nile state 2009). NSDDRC-SC/ UNDP
(2010) reported that, White Nile State population equivalent to 5% of the total population of Sudan, and urban people
representing 34% of the total state population, while the rural population estimated as 64% and 2% of population are
nomadic people of the state population.
During our survey we observed many camps for refugees and Internal Displace Persons (IDPs) around Kosti and
Rabak cities. These camps consist of many groups of people whom came from civil war zones. According to FAO
(SIFSIA, 2011), the refugees in White Nile State estimated in 2006 about 153,000 person forming nearly 10% of the state
population. In other hand the state consider as a transit point for IDPs returning to the South Sudan. South Kordofan State
and all those IDPs have been settled in/or around Kosti or Rabak and in many other camps. There are some previous
studies displayed the food security status in Sudan even in White Nile State but these studies are not concentrating mainly
on rural areas for that we tried to concentrating just on rural household because rural people representing the vast number
of the state population, so it could give an indicator about the food security status in rural areas of the Sudan.
For achieving the desired goals from this study we organized to 4 sections: the first one to give brief introduction
and overview about the study area containing household characteristics, food a viability and market. The second section is
about to explaining the methodology we used e.g., samples, data collection and some statistical models used to define the
purpose of the study and data description. The third section we talking about the surveyed result and discussion where we
trying to get an idea about the food security status in White Nile State using some indicators. By the end of this study in
fourth section we give conclusion and some recommendation through the lessons learned in this study case.
Food Availability and Markets
Staple Food Price
Musa, A., Abdelrahim, M., (2007), they are mentioned that the grain marketing system in Sudan functions under
many structural problems that make the overall operational environment less favorable. These problems include large
fluctuations in output, transport bottlenecks and poor market information in spatially separated market in a large country.
Ministry of agriculture (2012) reported that some studies in terms of crops price level are appears to corroborate our
findings. For example a survey of White Nile State of Sudan markets (2008) found average prices to be almost the same in
different parts of the state with 2005 being the worst years.
In 2008 prices shot up prior to harvest and only declined slightly in October 2008. While 2011 started from higher
average prices, in January 2011 and 2012, which’s clear in table 1. ((OECD)-(FAO), 2011),reported that generally prices
are expected to rise and volatility because continued population and economic growth will put upward pressure on demand,
as will the anticipated increased use of different food commodities mainly agricultural products because the high cost of
agricultural inputs.
Table 1: Explaining the Staple Foods Price (in SDG) for Years (2003-2012) Includes all Parts of the State
Crops Unit 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Sorghum sac 37.9 44.67 78.43 36.84 34.79 84.72 98.94 108.11 98.58 178.89
Millet sac 39.5 55.17 91.1 41.37 53.41 96 128.08 140.5 159.92 234.92
Wheat sac 59 66.75 88.71 46.17 60.53 113 99 111.42 155.59 196.42
Sesame quintal 70.44 63.75 60.91 47.74 69.59 136 116 129.58 172.58 248.08
Food Accessibility, a Viability and Stability in Rural White Nile State of Sudan 45
Table 1: Contd.,
Groundnut quintal 43.57 41.66 41 39.56 48.1 98.67 90 105 100 155.23
Data Source: Agricultural Economics & Planning Administration, Ministry of Agriculture, White Nile State of Sudan.
1Sac=90(Kg) and quintal=100 (pound)
SDG; is the Sudanese Gineih (Pound)
Food and Prices Changes
Indeed in White Nile State commodities price changes seasonally due to many reasons the strong one is the
different in distance between villages from each to other and between villages to the nearest city market the long distance
estimated 20 kilometer and near one not more than 5 kilometer beside some villages have day market in the same village as
in table 3,in other hand, the price fluctuations for some cereal crops which is consider as the main staple food in Sudan
due to the high cost of inputs that resulting on the consumer prices also have changed significantly in response to the
reform market, that similar agreed with Economist Intelligence Unit, (EIU, 2012), reported that, global food prices rose 3
times as fast as inflation in the last decade and the huge price swings for staple crops made matters worse, disrupting
markets and harming both producers and consumers.
Actually now in Sudan the government releases the policy of free market transaction, even some times we observe
that the government has gradually remove market barriers and prices (where its more competitive) and relied more on
markets to determine prices change as in the Strategic Inventory Corporation for cereal crops which was established by
government to protect producer from price fluctuations.
Food price now in all Sudan have increased most rapidly among all consumption goods as an example in table 2
we used Aggregated Price (ap) to represent the prices amongst all food commodities, in our result we found that ED-
Dueim locality have higher price for meat food group among the localities followed by Asslam, EL-Jebalean and Kosti, in
addition to oil and sugar food groups which are has lower dispersion among other food groups. More clear, that the prices
of all food groups almost the same expect light different on oil food group and meat food group. In addition, we found that
food meat group price has a highest dispersion comparing to others food groups’ price where it’s clear in table 2.
Table 2: The Average of Aggregated Price for all Food Groups in Rural Area
Locality ap_Oil ap_Meat ap_Grain ap_Veget ap_Sugar
Asslam 13.56 23.43 2.68 4.61 5.31
ED-Dueim 12.96 27.13 2.34 4.20 5.53
EL-Jebalean 12.96 21.44 2.55 4.65 5.07
Kosti 13.43 20.93 2.29 4.75 5.44
Rabak 13.33 17.15 2.82 4.40 5.20
Tendelti 13.14 22.63 2.63 4.37 5.21
Average 13.23 22.12 2.55 4.49 5.29
St.Dev 0.25 3.28 0.20 0.21 0.17
CV 0.02 0.15 0.08 0.05 0.03
Data Source: The data collected by the authors’ survey
Read the material: get to know the concept: (1) MEAN; (2) STDEV-stand deviation;
(3) CV=STDEV/MEAN
http://apacgemba7.wikidot.com/statistics:variance-standard-deviation-and-coefficient
Household Access to Market
Even for the rural households to be easier to access to the market except for some remote villages, all villages
have access to permanent and weekly or day markets (periodic market). All surveyed villages (interviewed respondent)
reported that an average of 2 to 10 traders and regular markets which provide and sell grain and basic food commodities.
46 Abdel Sami Musa Ibrahim, Shiwei Xu & Wen Yu
In line, with the improving economic situation and sectoral performance, local government priorities to increasing
production, especially of food grains and meat. In other hand, table 3 explain the distance between surveyed villages
among all localities and the domestic markets which is influence markets price and changing food consumption pattern
through different kinds of commodities.
Table 3: Shows the Distance between Surveyed Villages and the Nearest Market for the Household
Locality Surveyed Village Description (the Nearest
Distance to Daily Market)
Distance
(km)
Frequency
(Day/Week)
Asslam
AL-Amara AL-Beja
35km from kosti (it has day
market/week in alsabaaa
mar.7 km.)
7 7
AL-Atshan
43km from kosti (it has day
market/week in alsabaaa
mar.15 km.)
15 1
Gajariya
45km from kosti (abu-rokoba
(28 kil) and umdebekrat (15
km ) days (3day) market
15 3
ED-Dueim
AL-Filfila 20 km from Ed-Dueim
market 20 7
Banat 17 km from Ed-Dueim
market 17 7
EL-Atshan
30 km from Ed-Dueim
market & Al-gardoud 2
days/week 7 km .
7 2
EL-Bogaa EL-Mobaraka
22 km from Ed-Dueim
market & Al-gardoud 2
days/week 7 km
7 2
EL-Mejaga 16 km from Ed-Dueim
market 16 7
UM-Takal 15 km from Ed-Dueim
market 15 7
ELJebalean
Goda
35 km from Rabak Mar. & 7
km. From Alhedab: daily
market
7 7
Tabet – Ganoup
27 km from Jebalean market
& 17 km from Alhedab daily
market
17 7
Tabet –Shamal
32 km from Jebalean market
& 12 km from Alhedab daily
market
12 7
Kosti
AL-hamaraya 11 km from kosti 11 7
Abu_Anbaj 18 km from kosti 18 7
Ajagoga Sharege 18 km from kosti 18 7
EL-alaiga A.B. 53 km from kosti & it has
3days / week 0 3
Mona 45 km from kosti & Alshour
daily market 12 km 12 7
Um-mahani 15 km from kosti 15 7
Rabak
Gazeera Aba AL-
Tamrean 5 km from algazira Aba 5 7
Gazeera Aba (Goba) 7 km from algazira Aba 7 7
Tendelti
AL-Bah Garep 10 km from tendelti market 10 7
AL-Bah Shareq 13 km from tendelti market 13 7
AL-Mansoura 17 km from tendelti market 17 7
Salima ALmahata 25 km from tendelti market
(it has one day market/week) 0 1
Data Source: Ministry of Agriculture, White Nile State of Sudan
Food Accessibility, a Viability and Stability in Rural White Nile State of Sudan 47
METHODOLOGY
Data Collection
Both primary and secondary data were collected from White Nile State of Sudan using the National baseline
household survey (NBHS) conducted in 2009. During the survey, we selected 24 villages from all 6 localities (Kosti, Ed-
Dueim, AL.Jabalean, Rabak, Alssalam and Tandalti) in White Nile State. Structured questionnaire based primary data was
collected from a total of 360 randomly selected households. In each of the villages, sampling was done with the help of
local authorities. List of all households in a village was taken as a sampling frame during assignment of primary data
source (PDS). From the list, the starting point was chosen at random using lottery technique. First, in every locality, we
listed all village names in alphabetical order, and give each one numeric code; then choose sample villages at random. In
the same way, for each selected village, we listed all household in the list, and given every household a code; and then
chose the sample by lottery for 15 times. The reason that we use this method is nearly the same situation among the
households, for example, the animal type, the income source, and etc. The questionnaire structure we used to assess: I)
Household demography and positions. II) Household income and expenditure. III) Food access. V) Food diversity. VI)
Agricultural and livestock production.
Data and Statistical Models
We used simple statistical models for analysis food security indicators and status as: calculate the Burden Co-
efficiency as below:
Burdc1 = (1)
(2)
Where “burdc” is the burden Co-efficiency for (1 and 2), “size_hh” is the family size and “size_labor_hh” it's
pointing to the number of labor in the family, “sizechil” is number of children in the same family. No far, we calculate self
Self-sufficiency rate “ssr” as:
(3)
Where “ssr” is the self Self-sufficiency rate, “W_Self_Pro” is the weight of food that households produced and
consumes by themselves.
(4)
Where ‘mr’ is the market rate, “WBought_mar” is the food goods bought from market; “Wtotal consumption” is the weight
of food that households consumed themselves. And also we used the co-efficiency variation (CV) for Aggregated Price
(ap) to the food groups, beside using Microsoft offices Excel 2007
Data Description
Household Demography
Through our survey data resulting that the family size over all rural areas of White Nile state was 7 persons per
family which was consist 2 of them were children, 4 labors, and the average age of the household head was 50 years old.
48 Abdel Sami Musa Ibrahim, Shiwei Xu & Wen Yu
We also found the average of education years in all rural localities was very low and the illiteracy was the dominant
situation in all rural White Nile State. Finally, we calculate the burden co-efficiency1 and burden co-efficiency
2 to
determine household income and livelihood as in table 4.
Table 4: Shows Some of Household Size and Composition by Locality in Study Area
Locality Family
Size
Size of
Children
Size of
Labors Age
Years of
Education
Burden Co-
Efficient1
Burden Co-
Efficient2
Asslam 7 3 3 48 1 2.33 1.56
ED-Dueim 6 2 3 54 5 2 1.50
EL-Jebalean 7 3 3 47 3 2.33 1.56
Kosti 7 3 4 50 4 1.75 1.27
Rabak 9 3 5 57 5 1.8 1.38
Tendelti 6 2 3 45 3 2 1.50
Total 7 2 4 50 4 1.75 1.4
Data Source: The data collected by the authors’ survey.
For all that we think food security situation in the White Nile State was addressed via outcomes of a household,
and these outcomes depended on the education level of the household head, for that we had gave more consideration and
concentrate on education in the study area, where Federal Ministry of Agriculture and Forestry (2009) mentioned that
children, both male and female in rural area of White Nile State of Sudan play a crucial role in the family production
process. They help in the planting, weeding, irrigation, guarding, harvest and rearing animals; as in our finding in this
study we found that burden co-efficiency2 of family is significant and play important role on food security in the study
area, we found there were 1.8 of labor whose families experienced severe burden and 1.4 of children shared household
severe burden experienced. So it is in this way that skills are transferred from generation to other generation. To survive
under disadvantageous conditions in the study area, rural households tend to diversify their income sources between farm
and non-farm activities with the strong coefficient of relationship between all family members, and between family-owned
enterprises and wage labor.
Household Food Production
In terms of commercial grain production in the semi-mechanized farming system in the White Nile State is mostly
market-oriented production and the entire production goes for marketing. This duality and the nature of the production
system which influences the grain trade and grain markets in the State influence the supply and demand for food grains.
Table 5: Shows Average of Crops Production (kg) per Rural Household 2011/2012
Locality Sorghum Millet Sesame Cowpea Groundnut Vegetable
Asslam 1077 261 163 164 202 11
ED-Dueim 1055 0 70 15 0 164
EL-Jebalean 753 14 1 4 4 11
Kosti 1529 131 141 81 48 0
Rabak 1886 36 6 89 32 317
Tendelti 297 64 296 42 144 0
Total 1082 81 123 59 64 70
Data Source: The data collected by the authors’ survey
Table 5 above shows different species of crops that rural farmers is cultivating in the same season (season 2012,
during our surveying time), some cash crops like sesame and groundnut (Peanut), where farmer cultivated to increase his
income. Within table 6 bellow the result shows that comparing to the table 5 rural farmers prefer to sale cash crops
(Sesame and groundnut “peanut”) to increase income besides selling the surplus of some cereal crops e.g., sorghum, millet
and cowpea.etc, which is clear in tables 5 and 6 where household sale 44.5% as surplus of sorghum and consume 55.5% of
Food Accessibility, a Viability and Stability in Rural White Nile State of Sudan 49
it as staple crop food, selling 54.4% of their millet production and consume 45.6% as second staple crop and for pulses
rural farmers selling 51.2% of their pulse production and consume 48.8%, we found rural traditional farmer sale 90% of
their vegetable’s production and consume just 10% of their own production, so this result indicated that cereal grains and
pulse are the main staple food for rural household, as similar to FAO, (2011), which’s reported that in rural White Nile
State, per capita sales of cereal grains are disaggregated according to the nutritional security status of their producers, while
sometimes some portions of sales out of rural farmers production are almost similar for the food-secure and food-deprived.
Table 6: Shows the Average of Crops Sales (Kg) per Household by Locality Season 2011/2012
Locality Sorghum Millet Sesame Cowpea Groundnut Vegetable
Asslam 288.53 163.00 103.73 89.56 143.40 11.11
ED-Dueim 564.00 0.00 70.00 12.11 0.00 160.11
EL-Jebalean 251.78 8.58 0.00 0.53 2.67 10.04
Kosti 667.56 72.33 106.31 41.11 36.28 0.00
Rabak 991.47 1.50 5.87 39.40 27.17 253.07
Tendelti 141.17 26.67 250.93 14.17 86.82 0.00
Total 481.58 44.10 99.36 30.21 44.06 63.76
Data Source: The data collected by the authors’ survey
Food Accessibility and Stability
Food stability is describing all-time food access situation, traditional farmers in White Nile State produce staple
food grain as self consumption e.g. sorghum, millet, wheat and cowpea (lobia) and the surplus used for trade or feed
animals. In table 7 we had tried to explain the food consumption (basket food for rural households) for grains and some
other commodities per capita in the study area.
Table 7: Shows per Capita Food Consumption (kg) / Year for Different Food Groups by Locality
Locality Sorghum Millet Wheat Rice Cowpea Vegetable Potato Sugar Oil
Asslam 109.51 16.35 13.08 7.34 24.56 62.09 24.04 19.89 13.85
ED-Dueim 119.90 3.39 29.07 3.25 4.38 51.83 25.93 18.24 7.18
EL-Jebalean 97.65 7.94 25.13 7.38 8.59 104.91 27.16 20.34 8.33
Kosti 122.10 17.65 17.22 11.01 12.39 120.61 40.41 19.39 10.51
Rabak 103.84 7.96 35.69 10.33 10.74 134.83 50.93 19.45 8.06
Tendelti 98.13 17.88 17.43 8.75 18.52 110.57 40.40 18.06 11.56
Total 111.40 11.94 22.23 7.72 12.32 93.65 33.96 19.07 9.79
Data Source: The data collected by the authors’ survey
FAO statistics division on (2007) reported that cereal grains consumption as food over the world estimated 147.1
Kg annual consumption per capita and in North Africa people consume 212.3 Kg per capita of cereal grains excluding
processed cereal grains, that compared to our survey in similarity where we found that in rural white Nile of Sudan
households consume 153.29 Kg of cereal grains (sorghum, millet, wheat and rice) as annual consumption per capita. For
legume grains including (faba bean, dry bean, lentil and cowpea) consumption over the world FAO reported the annual
consumption per capita is 6.1 Kg and for North Africa is 7.5 Kg/year per capita, due to our survey we found that the annual
consumption of legume grains e.g., cowpea (lobia) in the study area in rural White Nile State is 12.32 Kg/year which
disagreed with FAO report (6.1Kg) and the consumption of legume grains is higher in proportion reach to 100% than the
world level rate that due to the farmer behavior where the often cultivating mainly cowpea traditionally for self
consumption and market, even the production cost for it is so low beside its consider as source of protein. Generally, we
can say the cereal grains and legume grains play an important role in contribution to the total food intake compared to the
others kind of food.
In other hand, we found that the consumption of vegetable (including potato) almost similar to the reported of
50 Abdel Sami Musa Ibrahim, Shiwei Xu & Wen Yu
FAO, (2011) where they mentioned the average of vegetable consumption in White Nile State is 93.9 Kg/year and our
result is 93.65 Kg/year and the rate consumption over world is 76.8 Kg/year, all that compared to the vegetable
consumption in North Africa is 212.8. Actually, some rural household in White Nile state facing difficult to access to
markets to buy fruits because the distance for those villagers is long lives in far away from the markets where they can buy
fruits, except some villages’ lies near city.
Through our experience the main sources of edible oil in the Sudan are sesame, cottonseed, groundnut and more
recently mainly in urban area sunflower. During our survey using questionnaire and getting some observation through
asking the respondent while we were filling the questionnaire, where our result illustrating that the edible oils consume for
the rural households in the study area is just using the oils which was produced from groundnut and sesame, and the rate of
oil consumption in rural area of White Nile state is in average 9.79 Kg/year per capita, where its agreed with Eltahir et al.
(2005) whose reported that the average Sudanese consumption of sesame oil with the popular meal, broad beans was
estimated 9.58 Kg/year per capita. In addition, to the FAO, (2011) mentioned that the vegetable edible oils the
consumption rate in White Nile state of Sudan is 10.9 kg/year per capita, which is almost close to our result 9.79 Kg/year
per capita. After cereal grains and oils, sugar made from sugar cane provided more kilocalories per capita per day on
average than other food groups FAO (2007). Also in (2011) it was reported that the sugar and sweet include jam and
biscuits consumption in White Nile State of Sudan estimated 39.2 kg/year while our survey estimate it in rural area as
19.07 kg/year per capita which is not similarity. Not far to our result explaining in table 8 where we calculate household
livestock production consumption, there we found that meat of mutton is almost equal to the consumption of beef meat,
and Rabak locality had the highest consumption to the beef meat per capita.
Table 8: Shows per Capita Livestock Production Consumption (kg)/Year by Locality
Locality Mutton Beef Chicken Egg Fish Milk
Asslam 6.01 4.29 3.01 1.04 1.06 69.38
ED-Dueim 4.71 6.12 0.9 1.12 0.21 75.26
EL-Jebalean 11.6 3.31 2.84 1.13 8.46 51.33
Kosti 5.14 5.38 5.12 2.25 14.84 58.32
Rabak 2.4 9.28 3.25 2.55 18.22 55.53
Tendelti 9.28 4.99 6.36 2.68 1.87 47.09
Total 6.41 5.43 3.57 1.77 6.78 60.96
Data Source: The data collected by the authors’ survey
Household Income
Income is a major determinant of food security. Household incomes are computed from the survey data as
comprising returns from: I) crop and crop residue; II) value of home-consumed farm products; III) livestock products and
sales of livestock; V) incomes from activities of all family members including household-heads’ off-farm activities; VI)
household savings credit. Data on each of these items is collected according to its period of occurrence and then converted
to annual income from which per capita income is computed with reference to family size. Overall, White Nile State is an
agricultural state of Sudan where the majority of economics activities of the households rely on agriculture and livestock
which is dominated as their main source of income. That due to the state location, on other hand, (WFP, 2009) reported
that 79% of population in White Nile state are food secure, 18% moderately food insecure and 3% are severely food
insecure. Here we can say through our experience, that the agricultural season affects directly the agricultural industry and
thus indirectly most facets of economic life in the area through lower demand of goods and services.
The results in figure 1 explain that the rural household in White Nile State of Sudan is in the lineup of highest sum
income belong to Asslam and Rabak localities followed by Kosti, Tendelti, ED-Dueim and EL-Jebalean which have the
Food Accessibility, a Viability and Stability in Rural White Nile State of Sudan 51
lowest sum income between localities. As in figure 1 sum income of rural household in study area influence by crops
production and price swings, where observe that livestock and salary almost same between localities while there crops we
found it had fluctuation mainly in the EL-Jebalean locality which had lower sum income among localities.
Where it’s agreed with USAID, (2002), which’s reported that farmer improved access to food through increasing
agricultural productivity and incomes is the essential major insurer of food security, where Agricultural productivity
includes measures across the entire shade of the food system which reduce food costs in real terms and increase incomes.
Where is agreed with (Elzaki, R.M.et al, 2010), he mentioned that excluding the food security, income and household
asset, they also could provide a high level of income through saving credit for those farmer lives close with cities.
SDG; Sudanese Gineih (Pound)
Figure 1: Explain Rural Household Annual Sum Income (in SDG) from Agricultural Activities
Household Expenditure
Expenditure is considered as indicator to assess the standard of food security of rural population in White Nile
State. In figure 2 we are trying to get an indicator about the expedition for food item and others expenditure in rural area of
White Nile State. WFP (2010) reported, due to the World Bank mentioned the sill for estimating vulnerability to shock in
terms of food access are set at 50% and 65% of expenditures spent on food items and below 50% is regarded as good and
over 65% of household income spent on food items is regarded as poor and where any change in food prices could have a
detrimental outcome.
In figure 2 the result explains that consumption expenditure is considered as indicator to assess the standard of
living of population, portrays the pattern of households’ consumption expenditure in the different localities. The
consumption expenditure has been classified into three groups: 1) “exp_food” The expenditure in food items consisted of
all consumable items whether of their own production or from the market. 2) “exp_nonfood” Non-food items comprised of
clothing, education, medicine and transport. 3) “exp_others” Other expenses inclusive of the socials. On the average of
which 70.4% was on food, the expenditure on food constituted the major component of households’ consumption pattern
as people preferred to spend more on food than other items, since their income is limited and they could not enhance their
consumption on other items.
8.5% of the expenditure on the non-food items, and 21.1% on the other expenditure. Where it’s agreed with
(Tomek & Robinson, 2003) reported that rural consumer expenditure patterns and estimates of expenditure can give an
indication of the potential for demand-led growth in a particular economy. An expenditure is a measure of the
responsiveness of expenditure on/or consumption of food items and non-food items which's can change the real income.
52 Abdel Sami Musa Ibrahim, Shiwei Xu & Wen Yu
SDG; is the Sudanese Gineih (Pound)
Data Source: the data collected by the authors’ survey
Figure 2: Shown the Average of Expenditure of Household for all Items per Capita by Locality
RESULTS AND DISCUSSIONS
Food Share
In this section we had tried to give a little illumination about the food share groups as in tables 9, which represent
the budget food share for 5 food groups named livestock production food, cereal grains food, vegetables food, Oils food
and sugar food group, respectively. Indeed, table 7 shows clearer that the staple food for the rural household in the study
area is sorghum and it is share cereal grains food more than 50% of the total household cereal grains food consumption
followed by wheat and rice, the less consumption in these food groups is millet, that is because of the pattern of traditional
agriculture where the farmers using local seeds variety beside there are poor of the cultivation technologies.
In the same way in table 9 we found that rural household in White Nile of Sudan consume red meat more than
white meat as in mutton and beef 0.27 and 0.25 respectively, beside the high consumption of milk per capita 0.33, that due
to the household food behavior in rural area where the environment more suitable for the rural farmer to breed animals as a
sign of wealth. The other food groups the result shown that rural household in the study area they consume peanut oil in
high rate as in 0.86. Alongside, they consume more sweets e.g. sugar in highest rate reaching 1 in average.
Table 9: Explaining the Summary of the Food Budget Share Groups and Variables Definition
Food Groups Variable Definition Observations Mean Standard Deviation
Livestock
production
w_mut Weight of mutton meat 360 0.27 0.22
w_beef Weight of beef meat 360 0.25 0.21
w_chi Weight of chicken meat 360 0.07 0.09
w_egg Weight of egg 360 0.03 0.05
w_fis Weight of fish meat 360 0.05 0.1
w_mil Weight of milk 360 0.33 0.17
Cereal Grains
w_sorg Weight of Sorghum 360 0.55 0.18
w_mill Weight of Millet 360 0.07 0.1
w_wheat Weight of Wheat 360 0.15 0.12
w_rice Weight of Rice 360 0.1 0.12
w_lobia Weight of cowpea (Lobia) 360 0.13 0.13
vegetables w_potat Weight of Potato 360 0.3 0.21
w_veget Weight of other vegetable 360 0.7 0.21
Oils w_peanut Weight of peanut oil 360 0.86 0.2
w_sesame Weight of sesame oil 360 0.14 0.2
Sugar and Sweets w_sugar Weight of sugar 360 1 0
Food Accessibility, a Viability and Stability in Rural White Nile State of Sudan 53
Self-Sufficientt and Market Rate
Grain production takes place in vast areas in rural areas of White Nile State under various farming systems and
production arrangements and consumption takes place in rural as well as urban centers, where potential consumers reside.
The urban consumption forms the main driving force for grain movement and often these centers are distant from
production sites. Trade is thus vital in channeling grains to final consumers, especially to sole consumers in urban center
(Musa, A., Abdelrahim, M., 2007),Where that was support our finding as clear in table 11 shows the summary of statistics
and definitions of some variables used in this paper where it can estimate self sufficient and market rates as one of the food
security indicators, here the results explaining that the households in the study area has an ability to produce food by them
self as (self sufficient) as it was clear in table 11 and figure 3 in the same time they has big desire to access and bought
different kinds of food goods from market mainly for many sub-food groups, where can give us indicator about how food
self production can influence the price of commodities for the consumers and enhancing the food consumption pattern in
the study area. in self-sufficient rate (ssr) for cereal grains group and livestock is higher than other food groups, among
which sorghum and milk are higher. For market rate, rural household bought more other cereal grains such as wheat, rice
and lobia from market than they produced. What most surprised is that rural household bought more meat and milk from
market. In fact, most of food relies on market, for most of the market rates are over 50%. Generally we say the small
farmers who account for the bulk of the producers in the White Nile State of Sudan produce grains primarily to meet home
consumption and then sell the marketable surplus.
Table 10: Shows the Summary of Statistical Analysis of Food Self Sufficient and Market Rate Used
Food Security Indicator Variable Variable Obs ssr_Mean mr_Mean
Self-sufficiency rate for
cereal grains and pulses
ssr_sorghum mr_sorghum 360 0.54 0.44
ssr_millet mr_millet 360 0.13 0.39
ssr_wheat mr_wheat 360 0.08 0.86
ssr_rice mr_rice 360 0.03 0.76
ssr_lobia mr_lobia 360 0.21 0.63
Self-sufficiency rate for
Livestock production.
ssr_mutton mr_mutton 360 0.01 0.73
ssr_beef mr_beef 360 0.00 0.80
ssr_chi mr_chi 360 0.12 0.42
ssr_egg mr_egg 360 0.22 0.29
ssr_milk mr_milk 360 0.30 0.66
ssr_fish mr_fish 360 0.10 0.31
Self-sufficiency rate for
Vegetables food.
ssr_veget mr_veget 360 0.05 0.92
ssr_potat mr_potat 360 0.01 0.85
Self-sufficiency rate for
Oil food.
ssr_gnut mr_gnut 360 0.17 0.82
ssr_sesam mr_sesam 360 0.14 0.29
Self-sufficiency rate for sugar ssr_sugar mr_sugar 360 0.00 1.00
CONCLUSIONS AND RECOMMENDATIONS
Advocacy to increase self-sufficiency rate from cereal grains mainly for all of the state population especially the
state have relative resource to produce more food. Encourage small farmers to cultivate vegetable and increase its self-
sufficiency rate. According to the land position and environment, guide farmer to realize industrial development. The food
security situation headway in the State will determine directly to the local and federal government policies and investment
choices made prior to the small farmers and stockholders themselves.
To address food security in the broadest sense in the White Nile State that could dealing not only with increases in
the production, productivity and the stability of food supplies, but also with some issues of access and all aspects of
agricultural and rural development related to food security, including farming systems, food processing, trade, marketing,
54 Abdel Sami Musa Ibrahim, Shiwei Xu & Wen Yu
credit, extension and the elimination of rural poverty, all that will be achieving through improving strong policies from
different levels. Generally, the federal government strategy and policies for food security will be direct toward to the food
supply and designed to increase incomes and purchasing power, especially of the poor vulnerable groups. These groups
could be identified as urban working poor, urban and rural displaced or handicapped, female-headed urban households,
female head rural household inhabitants of marginal area, poor nomads, resource poor rural household and inhabitants of
areas of conflict and civil insecurity.
REFERENCES
1. Co-operation and Development,
http://www.oecd.org/document/57/0,2340,en_2649_33797_35557433_1_1_1_1,00.html>
[Last date of consultation: 2011-10-17].
2. Eltahir, M.M., Shaddad, S.A.I., Eltayeb, I.B., 2005. The effect of sesame oil on serum lipids level in normochole
sterolemic and hypercholesterolemic diet-fed rats. J. Food Technol. 3 (4), 552–554.
3. Elzaki, R.M., Ahmed S. E.H.A., Elbushra, A.A., 2010. Impact of Livestock Biodiversity in Poverty Reduction
and Welfare Change in Rural Sudan, Social Science Research Network/ Social Science Electronic Publishing, Inc.
4. EIU, 2012, Economist Intelligence Unit, Global food security index 2012; An assessment of food affordability,
availability and quality, New York, United States, 2012.
5. FAO (2009); Food and Agriculture Organization of the United Nations; Special Program for Food Security
(SPFS); in support to traditional Farmers Agro-Pastoral Livelihood in western parts of White Nile State;
GCP/SUD/055/SPA; Khartoum, Sudan, February 2006
6. FAO (SIFSIA, 2011), Sudan Institutional Capacity Programme: Food security Information for Action (SIFSIA);
Food and Nutrition Security in White Nile State of Sudan; Policy Brief-June 2011.
7. FAO, 2011, Analysis of 2010 State Level Baseline Household Survey, Food Security in White Nile State of Sudan,
Food Security Technical Secretariat / Ministry of Agriculture (FSTS); Sudan Institutional Capacity Programme:
Food security Information for Action (SIFSIA), Khartoum Sudan 2011.
8. Hoida A. Ais A. Ellatif, 2012, Food Security in South Kordofan State: A Food Poverty and Livelihood
Perspective; A Thesis Submitted to the Sudan Academy of Science in Fulfillment of the Requirements for the
Degree of Master of Science in Agriculture (Agricultural Economics), April, 2012.
9. Khan REA and Gill A.R (2009). Determinants of Food Security in Rural Areas of Pakistan. Department of
Economics, the Islamia University of Bahawalpur. Pakistan. pp. 8.
10. Majlesi, F., B. Nikpoor, B. Golestan and F. Sadre, 2001. Growth chart study in children under 5 years old in rural
area of Khoramabad Province. Iranian J. Publ.Health, 30: 107-110.
11. Ministry of Agriculture and Forests, (2009); Special Program for Food Security (SPFS) - Phase 1
GCP/SUD/055/SPA, Food and Agriculture Organization of the United Nations, MoAF/FAO Work Program 2006
– 2009; Terminal Report – December 2009 – Sudan.
12. Ministry of Agriculture (MOA), Animal Resources and Irrigation, White Nile State, Sudan. Annual Report, (2004
- 2010).
Food Accessibility, a Viability and Stability in Rural White Nile State of Sudan 55
13. Ministry of Agriculture, Forestry, Animal Wealth & Irrigation, Agricultural Economics and planning
Administration; marketing Department, White Nile State, Sudan. Annual Report, (December, 2012).
14. Mohamednour A. G. lseed (2009), Traditional Utilization of Natural Resources for Sustainable Livelihoods
Support in Northwest Area of White Nile State, A Thesis Submitted in Fulfillment of the Requirement for the
Degree of Doctor of Philosophy in Natural Resources Management; University of Bakht Arrida, Sudan, October,
2009
15. Musa, A., Abdelrahim, M. (2007). Special Programme for Food Security, Base Line Diagnostic Report for the
area west of White Nile state, Sudan.
16. NBHS (2009). Sudan National Baseline Household Survey 2009. North Sudan - Tabulation Report. Sudan Central
Bureau of Statistics, Kosti department, White Nile state, Khartoum, Sudan.
17. (NSDDRC-SC/UNDP), 2010, North Sudan Disarmament Demobilization and Reintegration Commission
(NSDDRC)/United Nation Development Programme (UNDP);Socio-economic and opportunity mapping
Assessment report for White Nile State of the Sudan Joint mission, 26th – 28th October 2010.
18. (OECD)-(FAO), 2011, the Organization for Economic Co-operation and Development (OECD)-Food and
Agricultural Organization (FAO) Agricultural Outlook 2011–20204; The State of Food Insecurity in the World,
Food and Agriculture Organization of the United Nations, Rome, 2011
19. Tomek WG & Robinson KL (2003). Agricultural Product Prices (4th Edition). London: Cornell University Press.
20. USAID, 2002, “Southern Sudan Agricultural Revitalization Program”, USAID.
21. WFP VAM Unit (2008), Vulnerable Analysis and Mapping in world food security, monthly reporting tool for
VAM officers to report on food security indicators and issues at country level, Sudan December, 2008.
22. WFP, 2009, Report: Rapid Food Security Assessment of IDP Locations in White Nile State; in collaboration with
the VAM (Vulnerable Analysis and Mapping in world food security) unit Khartoum
23. WFP (EFSA) 2010, Emergency Food Security Assessment (EFSA), Whit Nile of Sudan, October 2010.
24. World Bank (1986). Sudan: Forestry sector review report No. 5911 – SU. World Bank. Washington, D.C. 110 p.
and Annexes.
25. Yonos, H.H., 2001. Indigenous farming system knowledge and practices of women farmers in Al Goz area of
Southern Kordofan State. M.A. Thesis, University Khartoum, Sudan.