Objective of the Study
The objective of the study is to
analyse the entrepreneurial skills of farmers on poverty reduction in Abakaliki
L.G.A of Ebonyi State specially, the objective is to.
Hypothesis;
Ho: The socio-economic characteristics of the
farmers do not significantly effect their acquisition of entrepreneurial
skills.
Data Analysis
Objective
was analyzed using the multiple regression analysis, multiple regression model
was used here. The regression was done the following forms.
Y = (FX1,
X2, X3, X4, X4, X5, X6)
Implicit function
Y = a0+
a1 + a1 + a2 + a2 + a3 +
a3 + a4 + a4 + a5 + a5+a6+a6
Explicit form.
Where;
Y = Entrepreneurial
skill of farmers
X1 = Age
X2 = Marital
status
X3 = Educational
level
X4 = Occupation
X5 = Annual Income
X6 = Land holding
et = Error term
a0 = Constant
a1-a6 = Multiple
coefficient.
Variable
|
Variable
name
|
Regression
coefficient
|
Std
error
|
T-value
|
Sign
|
Consistent
|
-
|
-0.103
|
0.627
|
-0.165
|
0.870
|
X1
|
Age
|
-0.070
|
0.61
|
-.149
|
0.259
|
X2
|
Marital
status
|
-0.026
|
0.221
|
-0.11
|
0.908
|
X3
|
Educational
level
|
0.023
|
0.031
|
0.719
|
0.477
|
X4
|
Occupation
|
0.488
|
0.156
|
3.126
|
0.004
|
X5
|
Annual
income
|
0.394
|
0.100
|
3.931
|
0.500
|
X6
|
Land
holdings
|
-0.74
|
0.106
|
-0.691
|
0.494
|
R2
(square) = 0.867
Adjusted
R2 = 0.813
Standard
Error of the estimates = 0.73636
Durbin-Watson = 1.924
Source:
Computed data, 2013
From the table above, it indicated
that the multiple regression analysis shows that the value of coefficient of
multiple determinations (R2) is….. this value shows that the
included socio-economic and personal characteristics explained about of the
total variation in the response to entrepreneurial skills acquisition in the
study area.
Age (X1) has a positive
coefficient and it was not statistically significant in the study. This means
that the rate at which farmers in the study area acquire entrepreneurial skills
is directly proportional with their age.
That is, the higher the age of the
farmers, the responded to acquisition of the various entrepreneurial skill
behaviours in the study area. The apriori expectation was met in the study.
Coefficient of Marital Status (X2)
has a negative coefficient. This means that the rate at which farmers in the
study area acquire entrepreneurial skills inversely proportional to their
marital status. By inference; this means that marital status has no effect on
the entrepreneurial behaviour of the farmers in the study area. Marital status
is not statistically significant from table above.
Multiple regression coefficient (X3)
though statistically non-significant, is positively related to the response of
farmers to the acquisition of entrepreneurial skills in the study area. This
goes in line with the a priori expectation that the response to acquisition
entrepreneurial skills is expected to increased with an increase in the level
of education.
Occupation (X4) has a
negative coefficient. This means that occupation of the farmers has no
relationship with the acquisition of entrepreneurial skills in the study area.
Animal income X6 has a
positive coefficient and is significant. This implies that the higher the
farmer’s response to the acquisition of entrepreneurial skills, the higher the
income he makes from the farming business and vice versa. This goes in tandem
with the a priori expectation that the higher the farmers response to acquire
entrepreneurial skills, the higher his income level.
Land holding (X6) was
positively signed and statistically significant. It indicates that farmers with
large farm size respond to the acquisition of entrepreneurial skill faster and
better that those with small farm size. This also means that the higher the
land holding, the higher the response to acquisition of entrepreneurial skill
behaviour by farmers in the study area. This goes in conformingly with the a
priori expectation that the higher the farm size, the higher the acquisition of
entrepreneurial skill in order to commercialize and maximize profit.
Y = 1.757
+ 0.112-0.007 +
0.056-0.373 + 0.023
(0.727) (0.074)(02.29)(0.076)
(0.184) (0.056)+0.313+et
(0.114)
Hypothesis Testing
Decision
Rule
If
the f-cal is greater than F-tab reject null hypothesis otherwise accept
alternative hypothesis
F - cal = R2
(N-K)
1-R2(K-1)
where;
R2 = Multiple coefficient determination
N = Sample
size
K = Number
of variable
F-cal = 0.867(40-6)
1-0.867(6-1)
F-cal = 29.4478
0.665
f-cal44.32
f-tab = 2.27
Since the f-cal is greater than the F-tab, the null
hypothesis was rejected and alternative hypothesis accepted. Therefore, the
socio-economic characteristics of the farmers have significant effect on their
acquisition of entrepreneurial skills in the study area.
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