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Stochastic Frontier Analysis Model

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Stochastic Frontier Analysis for Nigerian Agricultural Main Grain Crops: Translog Production Function
The study employed one step regression method to simultaneous estimate the Translog Stochastic Frontier Analysis model and the inefficiency function model. The result of the Logarithmic Transcendental (Translog) Technology production function is presented on table 1. The coefficient of the variables of labour and planting materials were the two variables that were statistically significant though negative at 1% alpha level (P<0.05), indicating that the normal truncated distribution is more appropriate to the semi-normal distribution.
The positive sign of the parameter of time trend (T) in the model in table 1, indicates a technical progress …show more content…
Stochastic frontier

Constant β0 93.3669*** 20.6938
Ln (Land) β1 0.8762 0.4464
Ln (Seed) β2 - 24.7049*** -20.1711
Ln (Labour) β3 -17.7797*** - 4.6915
Time β4 0.0268 46.8666
Ln (LL) β5 0.7642 0.6823
Ln (SS) β6 7.8551*** 7.6317
Ln(lala) β7 -81.1504*** -80.9639
Ln(LS) β8 7.9569*** 8.4381
Ln(LLa) β9 -56.8577*** -30.3381
Ln(SLa) β10 45.1907*** 21.9558
TLn(L) β11 0.0914 …show more content…
Total Factor Productivity Means and its components Grain crops in Nigerian Agriculture
Crops Efficiency Technical Pure Scale Malmquist Total Factor Change Change Efficiency Efficiency Index Productivity Change Change Growth (%) Maize 0.979 1.025 1.000 0.979 1.004 0.4
Millet 0.992 1.018 0.994 0.998 1.010 1.0
Rice 0.980 1.026 0.965 1.015 1.005 0.5
Sorghum 0.983 1.022 0.966 1.018 1.004 0.4
Wheat 1.000 1.022 1.000 1.000 1.022 2.2
MEAN 0.987 1.023 0.985 1.002 1.009 0.9
Source: Computed from FAO STAT Data

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