Research Article
Technical Efficiency of Ginger Production in Ilam District of Nepal: A Stochastic Production Frontier Approach
Table 2
Maximum likelihood estimates of stochastic frontier production function for ginger farming.
| Variables | Coefficient | Standard error | z | value |
| Constant term | 3.423 | 0.212 | 16.08 | ≤0.001 | Seed | 0.864 | 0.532 | 16.25 | ≤0.001 | Farmyard manure | 0.953 | 0.416 | 2.29 | 0.022 | Chemical fertilizers | −0.006 | 0.164 | −0.41 | 0.685 | Human labour | −0.644 | 0.846 | −7.61 | ≤0.001 | Bullock labour | −0.083 | 0.522 | −1.61 | 0.108 | Variance parameters | | | | | Sigma | 0.105 | 0.039 | | | Sigma | 0.435 | 0.054 | | | Sigma2 | 0.200 | 0.042 | | | Lambda | 4.142 | 0.086 | | | Gamma | 0.805 | | | | Observations = 100 | | | | | Wald Chi2 (5) = 423.58 | | | | | Prob > Chi2 = 0.000 | | | | | Log likelihood = −9.293 | | | | |
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, , and indicate statistical significance at 1%, 5%, and 10% probability level, respectively. |