The broad objective of the study as
to understand poverty its causes, effects and proffer strategies that many be
employed to reduce the incidence in Abakaliki L.G.A of Ebonyi State.
The specific objective is to
determine the effect of the socio-economic characteristics of the respondents
on their level of acceptance in the study area.
Hypothesis
Null
hypothesis were as;
The
socioeconomic characteristics of the rural people have no significant effect on
their level of acceptance in the study area.
Hypothesis
Null
hypothesis is were;
The
socio economic characteristics of the rural people have no significant effect
on their level of acceptance in the study area.
Data analysis
Multiple
regression analysis were used to analysed the objective selected for the study.
The model specifications were as
follows;
Y = F(X1,X2,X3,X4,
X5, X6)
Implicit function.
Y = bo
+ b1 x1+ b2+b3 x3 + b4
x4 b5 x5 +b b6 x6
+ et
Explicit form
Y = Level
of participation in poverty
X1 = Age
(yrs)
X2 = Sex
X3 = Martial
status
X4 = Level
of Education (years)
X5 = Farm size (ha)
X6 = Family Experience (years)
Effect
of socio-economic characteristic of the respondents on their level of
participation in poverty alleviation programmes in the study area.
Multiple regression analysis was
carried out to determine the effect of socio-economic characteristics of the
rural farmers on their level of participation in poverty reduction programmes
in the study area.
The level of participation was
measured by the number of poverty reduction programmes the respondents
participated. Result obtained is presented in table below.
Table:
Summary of the regression result
Variable
|
Variable
name
|
Regression
coefficient
|
Std
error
|
T-value
|
Sign
|
Consistent
|
-
|
-1.75
|
0.727
|
2.416
|
0.021
|
X1
|
Age
|
-0.122
|
0.074
|
-1.505
|
0.001
|
X2
|
Sex
|
-.007
|
0.229
|
0.030
|
0.976
|
X3
|
Martial
status
|
0.056
|
0.076
|
0.736
|
0.467
|
X4
|
Educational
status
|
-0.323
|
0.184
|
0.000
|
0.51
|
X5
|
Annual
income
|
0.223
|
0.056
|
-0.401
|
0.007
|
X6
|
Family
size
|
0.313
|
0.114
|
-2.747
|
0.010
|
R2
(square) = 0.727 x 0.100 = 72.7%
Adjusted
R2 = 0.813
Standard
Error of the estimates = 0.712
Durbin-Watson = 1.949
Source:
Data analysis, 2013
The result of analysis showed that a
coefficient of multiple determinations R2 of 0.727. This shows that
about 72.70% change in the dependent variable (level of participation in
poverty alleviation programmes) was caused by changes in the independent
variable socioeconomic characteristics of the respondents). This is quite high
in dictating that the socio-economic characteristics of the respondents had
significant influence on their level of participation in poverty reduction
strategies in the study area.
The
coefficient of Age (x1) has a positive coefficient indicating
positive relationship with the dependent variable statistically significant.
This shows that the higher the age of the farmers, the more they participate in
poverty reduction programme in the study area.
Sex(X2) was negatively
signed but no statistically significant, this reveals that negative
relationship exist between the respondents level of participation in poverty
reduction programmes and their socio-economic programmes and their
socio-economic characteristics. It could be that male farmers participated in
poverty reduction programmes than female farmers or vice versa.
The
coefficient of marital status (X3 was positively signed and highly
insignificant. This implies that positive relationship exists between the respondents
marital status and their level of participation in poverty reduction programmes
which level of participation is poverty married farmers participated in poverty
reduction programme sin the study area.
The respondents level of Education (X4) was
high statistically significant at 10% level of significance, and positively
signed showing that positive relationship is existing between the respondent
level of reduction and their level of participation in poverty reduction
strategies in the study area. This means that the higher the level of
education, the higher their level of participation in poverty reduction
programmes.
Also,
family size (X5) which was highly statistically significant at 10%
level of significance and indicated a positive coefficient meaning that
positive relationship is existing between family size of the respondents and
their level of participation in poverty reduction programmes. This implies that
farmers with high family size participated more in poverty reduction programmes
than those with lower family size. This is because the farmers with large
family sigh have, more months to feed and to take part seriously in poverty
reduction programmes in order to increase productivity and have sufficient food
to feed to their dependents.
Moreover,
the respondent annual income (X6) which was positively signed and
highly statistically significant at 5% level of significance was equally
indicating that positive relationship exists with the dependent variable (level
of participation in poverty programmes in the study area).
Hypothesis
testing
Decision
rule
If F-cal is greater than F-tab,
reject null hypothesis otherwise accept the alternative hypothesis.
F-cal = R2(N-K)
1-R2(K-1)
where;
Rr = multiple
coefficient determination
K = number
of variable
N = Sample
size
F-cal = 0.727(40-6)
1-0727(6-1)
F-cal = 31.988
1.365
F-cal = 23.434
F-tab
at 0.05 level of significance
F-tab = 2.80
Mean
while, the F-cal was greater than the f-tab, the f-cal was greater was rejected
and alternative hypothesis accepted. Therefore, it implies that the
socioeconomic characteristics of the rural people/farmers have significant
difference on their level of participation in poverty reduction programmes in
the study area.