Abstract:
This study was carried out in The Rahad Agricultural
Scheme. The main objectives of the study are to measure
technical efficiency of produced crops, to determine the
main factors that caused technical inefficiency, to assess the
maximum farm’s income level under optimum cropping
patterns and to identify the socio-economic factors that
affected the level of efficiency of farmers. The study shed
light on the factors that constraint agricultural production as
well as yield efficiency in Rahad agricultural scheme.
Production and yield have deteriorated and the income of
tenants has consequently declined. Moreover the scheme
was suffered from its own deficiency of adopting a proper
cropping patterns. As a consequence, average yield of the
main
crops
in
the
scheme
since
19977-1978
were
decrescent. The study mainly depended on Primary data
which were collected from a survey conducted in season
2006/2007, through a multi-stage stratified random sampling
technique using structural questionnaire after pre-testing.
The study also used secondary data collected from the
relevant
institutional
sources.
Descriptive
statistics,
stochastic production frontier model of the Cobb-Douglas
form, gross margins and linear programming were emploed
to analyze the collected data. The results of descriptive
statistics showed that: 32 % of the tenants interviewed were
in the active age group ( 20-50). Most of tenants were
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married, had formal education. The average of tenant's
family size was 9 persons. 36% of the
sample tenants were engaged in such off- farm activities..
The
majority
of
the
farmers
depend
on
traditional
implements.
Groundnuts, dura and cotton crop each of them had two
peaks period of Labour requirements. Cotton had high cost
followed by groundnuts. Sunflower had a higher gross
margin followed by groundnuts.
Most of the estimated β co-efficient of the SPF model for
crops production had the expected signs, and significant.
The mean technical efficiency was 70%, 79%, 76% and 71%
for groundnuts, dura, cotton and sunflower, respectively.
Accordingly
there
was
a
scope
for
increasing
crops
production in that order, by 30%, 21%, 24% and 29%. The
variance ratio parameters γ was large and significant and
has a value of 0.99, 0.99, 0.97 and 0.99 forgroundnuts, dura,
cotton, and sunflower. Tenancy location, off-farm income,
farm income, sowing date, labour number, irrigation number
and weeding number,were significant variable for improving
technical efficiency. age group, sex, education level, family
size and extension contact were significant in explaining
technical inefficiency in RAC.
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The LP results cleared that the real cropping plan was
different from the basic model cropping pattern, most of the
land was allocated to groundnuts ( 9.66 feddans), followed
by sunflower(9.61 feddans), while dura and cotton were
entered in the optimal plan with small areas 1.22 , and 1.5
feddans respectively. In the real situation, the crops occupied
5.5 feddan for each . The optimal net farms was (SDG
5799.01) exceeded the actual net farms (SDG 4544.16) by
27.61% .
Many scenarios were tried by developing the parameters of
the free LP model to reflect a range of production options.
The
scenarios
reflected
the
effects
of
productivities,
Restricting production area, prices, cost of inputs, more
participation of family labour in cotton picking, using
machines and improving technology.
The study recommended to improve technical efficiency for
crops production in the RAC, The main recommendations
was concentrated and oriented to sowing date, peak
demands for labour, more participation of the family labour,
problem of irrigation, extension education, and expanding in
promising crops .
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