4 - Central Institute of Brackishwater Aquaculture
4 - Central Institute of Brackishwater Aquaculture
4 - Central Institute of Brackishwater Aquaculture
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Natlonal workshop-cum- raining on blolnformatkr and Information Management in <strong>Aquaculture</strong><br />
Method <strong>of</strong> application <strong>of</strong> feed<br />
(0 or 1)<br />
0.97 0.17<br />
Calamities (0 or 1) 0.76 0.425 0<br />
Periodical netting (0 or 1) 0.86 0.348 0<br />
Types <strong>of</strong> labor (0 or 1) 0.76 0.425 0<br />
Types <strong>of</strong> organic fertilizer (1 or<br />
2)<br />
0.501<br />
Types <strong>of</strong> feed (1 or 2 or 3 or<br />
4<br />
2.33 0.58 1<br />
Disease encountered (1 or 2<br />
or 3 or 4 or 5 or 6 or 7 or 8 or<br />
9 or 10 or 11)<br />
3.44 2.089 1 11<br />
Table 3. Maximum-likelihood estimates <strong>of</strong> stochastic production frontier and<br />
technical inefficiency models for carp production in Kolleru Lake, Andhra Pradesh,<br />
India.<br />
-- -- - -- -- . -- -- - - - -- --<br />
Paramet Coeffic~ent Standard-error T-ratlo<br />
er<br />
Stochastic production frontier model<br />
Constant P 0 1.2374793***<br />
Organic manure (XI) P 0.14112453***<br />
Inorganic fertilizer (Xz) p 0.024032115<br />
Lime (X3) p 3 0.033957713<br />
Stocking weight (X4) p 0.026828252*<br />
Chemicals and Drugs p -0.014569666<br />
(X5)<br />
Feed (X6) P 6 0.20010391***<br />
Labor (XI) P 7 0.01 1732542<br />
Water management p 8 -0.022573018*<br />
(X8)<br />
Technical inefficiency model<br />
Constant<br />
Religion (21)<br />
6 o<br />
6 I<br />
Caste (Z2) 6 2<br />
Age (23) 8 3<br />
No <strong>of</strong> children (Z4) 6<br />
Education (Z5) 8 s<br />
Experience (26) 6 6<br />
Primary occupation 6<br />
(27)<br />
Pond size (20)<br />
8 e<br />
Renovation (Z9) 8 9
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