Research Article

Factors That Influence Technical Efficiency of Sorghum Production: A Case of Small Holder Sorghum Producers in Lower Eastern Kenya

Table 4

Marginal effect results showing the change expected from a unit change in each variable in the lower eastern Kenya.

VariablesOverallMakindu districtMachakos district
Δ in TE%Δ in TEΔ in Kg/haΔ in TE%Δ in TEΔ in Kg/haΔ in TE%Δ in TEΔ in Kg/ha

Male-headed HHs0.015121.519.470.01265351.277.69−0.127512.7587.98
Age of the HHH0.003120.311.95−0.004085−0.41−2.480.00430.432.94
Education of the HHH0.3397133.97212.650.31608931.61192.210.386138.61266.46
HH size −0.01088−1.08−8.99−0.0158526−1.58−9.64−0.0143−1.43−9.87
Number of dependents0.018661.8611.680.03344793.3420.340.00100.100.69
Assets
Experience in sorghum farming0.1346213.4684.270.04558244.5627.720.142014.2097.99
Membership in farmer association0.1445914.4590.510.193250119.33117.520.316431.64218.38
Seed rate used0.000030.0030.020.00028280.030.170.00090.090.65
Use of improved seed variety 0.061676.1738.610.00879440.875.350.02372.3716.38
Size of land planted with sorghum0.1317613.1882.480.560313156.03340.730.421042.10290.57
Land preparation method−0.06263−6.26−39.20−0.042962−4.29−26.13−0.0455−4.55−31.43
Hired labour0.1095810.9668.590.19679919.68119.680.278927.89192.49
Manure use0.1831618.32114.650.16616.60100.950.270627.06186.75
Production advice 0.2610126.10163.380.247418924.74150.460.220822.08152.39
HH off-farm income
Credit use0.1021810.2263.960.106095410.6164.520.115711.5779.82
Income from other farm activities−0.00571−0.57−3.580.115667411.5770.34−0.0622−6.22−42.92
Region0.1014710.1563.52

Current mean productivity (Kg/Ha)625.97608.11690.12

Notes: significant at 5%, HHs: households, and HHH: household head.