4.0 Results and discussion
4.1 Characteristics of soy bean farmers
The descriptive statistics of the sampled farmers are summarized in Table 2. On the average, a typical soy bean farmer in the study area is 45 years old, with an average of 5 years in formal education. There is a range of 11 in the number of members of the farmers’ family given an average household size of 5. Soy bean farmers in the area cultivated the crop for an average of 5 years with a land holding size of 0.52 acres in the 2013/14 cropping season. This farm size produced an average output of 114.56kg of soy bean using 10.18kg of seeds and 24 man days of labour. Finally, on average the farmers were visited five times by extension agents during the farming season.
Table …show more content…
It can be observed that the estimated coefficients of all the first order terms were significant. Also, while labour and seed had the expected positive sign, farm size had a negative sign. In the case of the squared variables, there is a different scenario, as both farm size and seed squared maintain a negative sign, labour squared had a positive sign. In general, the squared terms show the relationship between the factors with output on their continuous usage. Thus, in the case of farm size it can be said that in the initial stages of its use, less of it must be employed if output is to be increased while in the continuous use of seed more of it tends to decrease output. The opposite is true with labour where both in the initial and later stages of production more of it increased …show more content…
Source: Survey data, 2014 4.4 Socio-economic and institutional determinants of technical efficiency
In Table 5 socio-economic and institutional variables responsible for farmer’s technical inefficiency are presented. The variables with negative coefficients have negative relation with technical inefficiency but positive relation with technical efficiency and vice versa.
Table 5: Determinants of technical efficiency of Soy bean farmers
Variable Units parameter Coefficient Standard error
Constant Ω_0 0.314** 0.1074
Farm size Acres Ω_1 0.032** 0.0083
Age Years Ω_2 -0.124 0.0324
Education Years Ω_3 -0.004** 0.0016
Experience Years Ω_4 0.002** 0.0007
Gender 1=male, 0=female Ω_5 0.018** 0.0081
Household size no. of persons Ω_6 -0.012 0.0021
Extension No. of visits Ω_7 -0.013** 0.0019
Modern seed 1=Adopter,0=non adopter Ω_8 -0.018 **
4.1 Characteristics of soy bean farmers
The descriptive statistics of the sampled farmers are summarized in Table 2. On the average, a typical soy bean farmer in the study area is 45 years old, with an average of 5 years in formal education. There is a range of 11 in the number of members of the farmers’ family given an average household size of 5. Soy bean farmers in the area cultivated the crop for an average of 5 years with a land holding size of 0.52 acres in the 2013/14 cropping season. This farm size produced an average output of 114.56kg of soy bean using 10.18kg of seeds and 24 man days of labour. Finally, on average the farmers were visited five times by extension agents during the farming season.
Table …show more content…
It can be observed that the estimated coefficients of all the first order terms were significant. Also, while labour and seed had the expected positive sign, farm size had a negative sign. In the case of the squared variables, there is a different scenario, as both farm size and seed squared maintain a negative sign, labour squared had a positive sign. In general, the squared terms show the relationship between the factors with output on their continuous usage. Thus, in the case of farm size it can be said that in the initial stages of its use, less of it must be employed if output is to be increased while in the continuous use of seed more of it tends to decrease output. The opposite is true with labour where both in the initial and later stages of production more of it increased …show more content…
Source: Survey data, 2014 4.4 Socio-economic and institutional determinants of technical efficiency
In Table 5 socio-economic and institutional variables responsible for farmer’s technical inefficiency are presented. The variables with negative coefficients have negative relation with technical inefficiency but positive relation with technical efficiency and vice versa.
Table 5: Determinants of technical efficiency of Soy bean farmers
Variable Units parameter Coefficient Standard error
Constant Ω_0 0.314** 0.1074
Farm size Acres Ω_1 0.032** 0.0083
Age Years Ω_2 -0.124 0.0324
Education Years Ω_3 -0.004** 0.0016
Experience Years Ω_4 0.002** 0.0007
Gender 1=male, 0=female Ω_5 0.018** 0.0081
Household size no. of persons Ω_6 -0.012 0.0021
Extension No. of visits Ω_7 -0.013** 0.0019
Modern seed 1=Adopter,0=non adopter Ω_8 -0.018 **