Table 2 Parameter estimates of stochastic production frontier and technical inefficiency models
From: A stochastic frontier analysis of technical efficiency of fish cage culture in Peninsular Malaysia
Variable | Parameter | Coefficients | Standard error |
|---|---|---|---|
Stochastic production frontier | |||
 Constant | β0 | 1.1236* | 0.4424 |
 Ln seed (fish fry) | β1 | 0.3984*** | 0.1157 |
 Ln (Feed) | β2 | 0.1897* | 0.0761 |
 Ln (Labour) | Β3 | 0.3239*** | 0.1194 |
 Ln (Operational costs) | β4 | −0.0714 | 0.0736 |
 Ln (Energy) | β5 | 0.0869 | 0.0799 |
 Ln (Other inputs) | β6 | −0.0435 | 0.1009 |
Technical inefficiency model | |||
 Constant | δ0 | 0.4535 | 0.1729 |
 Age (no. of years) of respondent | δ1 | −0.0029 | 0.0025 |
 Experience (no. of years) | δ2 | −0.0028 | 0.0042 |
 Cage area (m−2) | δ3 | −0.0177 | 0.0169 |
 Education (level) | δ4 | −0.0024 | 0.0074 |
 Production cycle (number) | δ5 | −0.1099** | 0.0349 |
Variance parameter | |||
 Sigma-square σ 2 s  = σ 2 u  + σ 2 v |  | 1.9947** | 0.0187 |
 Gamma γ = σ 2 u /σ 2 |  | 0.9774*** | 3.0008 |
 Log likelihood |  | −118.86 |  |
 Mean of exp (−Ui) |  | 0.37 |  |