Objective of the Study
The broad objective of this study is
to analyze the rice production and socio-economic factors affecting rice
production in Ezza North L.G.A of Ebonyi State. The specific objective is to
analysis the effect of socio-economic characteristics of respondents and output
in rice production in the study area.
Hypothesis
H0:
farmers do not have significant effect on the output in rice production in the
study area.
Data analysis
Model specification is shown as, the multiple
regression was used to determine the effect of the independent on the yield of
rice production.
Y = F(X1 X2, X3 , X4 X5 + X5 X6)
implicit function.
Y = ao
+ a1 x1+ a2x2 + a3 x3
+ a4x4 + a5x5 + et
Where;
Y = Output
of rice production (kg).
X1 = Age
of farmers
X2 = Sex
X3 = Educational
status
X4 = Farm
size
X5 = farm Experience
X6 = Household
size
Et = Error
term
Regression
analysis on the effect of socio-economic characteristics on output of rice
production in the study area.
A multiple regression analysis was
used to analysis the effect of socio-economic characteristics of rice producers
on their output.
Variable
|
Variable
name
|
Regression
coefficient
|
Std
error
|
T-value
|
Sign
|
Consistent
|
-
|
2.174
|
0.756
|
2.875
|
0.007
|
X1
|
Age
|
-0.136
|
0.068
|
-1.995
|
0.054
|
X2
|
Sex
|
0.005
|
0.230
|
0.020
|
0.984
|
X3
|
Educational
status
|
-0.201
|
0.159
|
-1.264
|
0.215
|
X4
|
Farm
size
|
0.255
|
0.134
|
1.904
|
0.066
|
X5
|
Farming
experience
|
-0.065
|
0.115
|
-0.567
|
0.575
|
X6
|
House
hold size
|
-0.153
|
0.109
|
-1.406
|
0.169
|
R2
(square) = 0.757
Adjusted
R2 = 0.714
Standard
Error of the estimates = 0.65589
Durbin-Watson = 1.946
Source:
computed data, 2013
The
result of multiple regression analysis as shown in table above showed that a
coefficient of 0.757 was obtained. This implies that about 75.7% change in
explained variable was caused by changes in the explanatory variables.
However, the coefficient of Age (X1)
had a negative sign and was statistically significant at 10% level of
significance in regression model in the study. This implies that there is a
inverse relationship existing between the age(X1) and output of rice
production in the study area. The a priori expectation was met because increase
in the age increases the output.
The coefficient of sex(X2)
bore a positive sign and was statistically insignificant beyond any level of significance
in the study.
This implies that there is no gender
dichotomy. The apriori expectation was met because when there is gender
equality, there will be increase in output of rice production.
Furthermore, Educational status hard
a negative sign and was not statistically significant at any level of
significance.
This means that there is inverse
relationship existing between the Educational status X3 and the
output in the study area. The apriori
expectation was not met. This is because educations play a significant role in
effective and efficiency of every farmers which help the farmers to enhance and
extensively utilization available resources and increase his/her output.
Moreso, coefficient of farm size(X4)
had a positive sign and was statistically significant at 10% level of
significance in regression model. The apriori expectation was met. This is true
because increase in form size of a rice farmer will lead increase in output.
Finally the coefficient of farming
experience (X5) and house hold size(x6) had a negative
sign and was statistically insignificant in regression model of the study.
It shown that farming experience and
household size had a negative relationship with output in the study area.
Y = 2.174 - 0.136 +
0.005 - 0.201
+ 0.255
(0.756) (0.068) (0.230) (0.159) (0.134)
-0.065 -
0.153 - et
(0.115) (0.109)
Testing of hypothesis
Decision Rule
If F-cal is greater than F-tab
regret null hypothesis otherwise accept alternative hypothesis.
F-cal =
R2(N-k)
1-R2(K-1)
where
R2 = multiple
determination
N = Sample
size
K = Number
of variables
F-cal = 9.757(40-6)
1-0.757(6-1)
F-cal = 33.308
1.215
F-cal = 27.414
F - Tab
at 0.05 level of significance
F-
tab = 2.73
Since,
f-cal is greater than the F-tab, the null hypothesis was rejected and
alternative hypothesis was accepted.
Therefore, the socio-economic
characteristics of the farmers have significant effect on their output in rice
production in the study area.