YAM PRODUCTION: SOCIOECONOMIC AND CULTURAL FACTORS AFFECTING ADOPTION OF YAM PRODUCTION TECHNOLOGY AMONG FARMERS IN EBONYI STATE

 A CASE STUDY OF OHAUKWU LGA
Objective of the Study
The broad objective of this study is to determine socioeconomic and cultural factors affecting adoption of yam production technology among farmers in Ohaukwu Local Government Area of Ebonyi State. The specific objective is to analyse the relationship between the socio-economic characteristics of rice producers and level of adoption of new technology in the study area.


Hypothesis test
There is no significant difference between socioeconomic characteristics and level of adoption of new technology in the study area.
Data analysis
Model specification
            Multiple regression model is shown
Y         =          F(X1, X2,  X3,  X4, X5 -------Xn)   
            Implicit function
Y         =          bo + b1 x1+ b2x2 + b3 x3 + b4x4 + b5x5 + et
                        Explicit function.
Where;
Y         =          Level of adoption of new technology
X1        =          Sex
X2        =          Age (Years)
X3        =          Marital status
X4        =          Educational status
X5          =          Farm size
Effect of socio-economic characteristics of the respondents on level of adoption of new technology.
            Multiple regression analysis was carried out to determine the effect of socioeconomic characteristics of respondents on level of adoption of new technology.



Variable
Variable name
Regression coefficient
Std error
T-value
Sign
Consistent 
-
4.564
0.835
5.468
0.000
X1
Sex
0.214
0.158
-1.354
0.185
X2
Age
0.042
0.250
0.167
0.069
X3
Marital status
0.270
0.180
-1.604
0.142
X4
Educational status
0.543
0.171
-3.171
0.00
X5
Farm size
0.337
0.206
1.637
0.001
R2 (square)                            =          0.759
Adjusted R2               =          0.603
Standard Error of the estimates     =          0.73287
Durbin-Watson         =          1.849
Source: survey, 2013
            From the result of multiple regression model showed a coefficient of multiple determination R2 of 0.759. This shows that about 75.9% change in the dependent variable was caused by changes in the independent variables (socio-economic characteristics of the respondents).
            This is quite high indicating that the socio-economic characteristics of the respondents had significant influence on their level of adoption of new technology in the study area.
            The coefficient of Age(X1) had a positive sign and was not statistically significant at beyond 10% level of the significance in regression model. This implies that there is a positive relationship existing the between the Age (X1) and level of adoption of new technology among the yam producer in the study area. The apirori expectation was met because increase in age will increase the level of adoption of new technology and at was as result high level of farming experience.
            Sex X2 and marital status had a  positive sign in the regression coefficient and statistically significant in the regression model of the study. And this concerns with the apriori expectation of the study.
            Furthermore, the coefficients of the Educational status (X5) and farm size Educational status (X5) and farm size (X6) bore a positive sign and statistically significant at 5% and 1% at level of significance in the regression model in the study.
            It means that there is a positive relationship existing between the educational status (X4), farm size (X5) and level of adoption of new technology in the study area.
            Educational and the farm size increases the output. The apriori expectation was met.
The regression model equations as follows;
Y         4.564  +  0.214 +  0.042 +  0.270  +  0.543
            (0.835)   (0.158)   (0.250)   (0.180)   (0.171)
            + 0.337   +  et
              (0.206)
Testing of hypothesis
F-cal   =          R2 (N-K)
                        1-R2(K-1)
where;
R2          =          multiple determination
N         =          sample size
K         =          Number of variables
f-cal ?
F-cal   =          0.759(40-5)
                        1-0.75(5-1)
F-cal   =          43.155
                        0.964
F-cal   =          35.430
F-tab at 0.05 level of significance
F-tab   =          2.61
Since, the F-cal is greater than F-tab, the null hypothesis was regretted while the alternative hypothesis was accepted. This implies that there is significance difference between socio-economic characteristics and level of adoption of new technology in the study area.

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