IJMS-2015v5n28 - page 9

International Journal of Marine Science 2015, Vol.5, No.28, 1-8
4
catch since it was affected by less pollution as
compared to seriously affected category. The ratio
between MVP and MIC of depreciation, fuel cost and
human labour was less than one. It indicated that the
above inputs were over utilized as like seriously
affected fishermen. The ratio of MVP and MIC of
maintenance cost was more than one which indicated
that the input was underutilized.
2.6 Low affected fishermen
The catch responded significantly to the inputs and the
coefficient of fuel cost, number of fishermen and
maintenance cost were positive and significant at one
per cent level with coefficient values 0.15 and 0.15 and
0.66 respectively. The ratio between MVP and MIC of
depreciation cost of boat, fuel cost and human labour
were less than one and it indicated that the above inputs
are over used. as like other two categories of affected
fishermen. The ratio of MVP and MIC of maintenance
cost was more than one and indicates that it was
underutilized. Thus the preceding analyses confirmed
that efforts should be dovetailed for arresting the
excessive usage of fuel, human labour, boat and the
consequent depreciation and at the same time better
attention towards boat maintenance for the attainment
of sustainable management of fisheries production.
2.7 Technical efficiency of fish production
Data envelopment analysis was attempted to measure
the technical efficiency of serious, medium and low
affected fish production. The data envelopment
analysis (DEA) is a non - parametric mathematical
programming methodology based on the works of
Farrell (1957) and Fraser and Cordina (1999). The
results of DEA with constant return to scale technical
efficiency (CRSTE), variable return to scale
technical efficiency (VRTSTE) and scale efficiency
(SE) for serious, medium and low affected fish
production are given in Table 5. It could be observed
from the Table that the level of technical efficiency
for serious affected fishermen category was ranged
from 94.60 to 100.00 with mean efficiency of 98.00
percent in constant return to scale. The technical
efficiency as calculated by using variable return to
scale indicated that efficiency was ranged from 95.80
to 100.00 with mean efficiency of 98.00 per cent.
Scale efficiency was ranged from 98.10 to 100.00
with mean efficiency of 99.00 percent.
Table 5 Technical Efficiency and Scale Efficiency of total fish
production
S.No. Particulars
CRSTE
VRTSTE SE
I
Serious
1
Mean
0.98
0.98
0.99
2
Standard deviation 0.01
0.01
0.004
3
Minimum
0.946
0.958
0.981
4
Maximum
1
1
1
II
Medium
1
Mean
0.986
0.996
0.99
2
Standard deviation 0.015
0.005
0.013
3
Minimum
0.931
0.982
0.931
4
Maximum
1
1
1
III
low
Mean
0.992
0.996
0.996
Standard deviation 0.01
0.008
0.008
Minimum
0.964
0.974
0.964
Maximum
1
1
1
The level of technical efficiency for medium affected
fishermen category was ranged from 93.10 to 100.00
with mean efficiency of 98.60 percent in constant
return to scale. The technical efficiency as calculated
by using variable return to scale indicated that the
efficiency was ranged from 98.20 to 100.00 with mean
efficiency of 99.60percent and scale efficiency was
ranged from 93.10 to 100.00 with mean efficiency of
99.00 percent.
The level of technical efficiency for low affected
fishermen category was ranged from 96.40 to 100.00
with mean efficiency of 99.20 percent in constant
return to scale. The technical efficiency as calculated
by using variable return to scale indicated that
efficiency ranged from 97.40 to 100.00 with mean
efficiency of 99.60percent and scale efficiency
ranged from 96.40 to 100.00 with mean efficiency of
99.60 percent. It could be concluded from the above
results the mean technical efficiency and scale
efficiency of all the three categories of serious,
medium and low affected fishermen was similar and
was around 99 per cent.
2.8 Valuation of fish production damage
The valuation of the fish production damage was
attempted in this section with production change
technique and direct valuation methodology of
contingent valuation.
1,2,3,4,5,6,7,8 10,11,12,13,14
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