International Journal of Marine Science 2015, Vol.5, No.28, 1-8
6
the industry in the coastal ecosystem which eventually
led to higher pollution. Thus it could be concluded
from the preceding analyses that WTP was varied with
pollution intensity and it was highest for seriously
affected category. WTAC was highest for medium and
low affected categories.
3.3 Sustainability Evaluation with Sustainable
Rural Livelihood framework Analysis
The Sustainability evaluation
with
Sustainable Rural
Livelihood Framework (SRL) analysis of fisheries
production was attempted by assessing the natural capital,
financial capital, physical capital, human capital and
social capital and the results are furnished in Table 9.
Table 9 Sustainable Rural Livelihood Index for affected Fishermen
S.No. Assets
Serious Medium Low
I
Natural assets
a.
Fish catch (kg)
146
193
233
b.
Seasonality
Peak season (kg)
166
206
250
Lean season (kg)
120
122
200
c.
Habitat destruction
7
5
2
II
Physical assets
a.
Housing (in lakh)
2.19
2.64
4.95
b
Building Quality (P/K)
Pucca
87.50
97.50
100.00
Kutcha
12.50
2.50
-
c.
Sanitation
a. Presence of toilets
25.00
32.50
75.00
b. No toilets
75.00
67.50
25.00
d
Access to hospital (km)
5
3
1
e
Access to school (km)
2
1.50
1
f
Value of boat(in lakh)
1.12
1.22
3.03
III
Human assets
a.
Gender ratio
890
892
899
b.
Migration
10.00
0.00
0.00
c.
Food security (expenditure
in thounsand)
86.16
58.40
41.48
d.
Health (expenditure in
thounsand)
24.10
18.41
15.42
e.
Education(literacy rate )
70.00
75.00
73.00
f.
Occupation
a. Fisheries
87.50
75.00
70.00
b. Fisheries and other
12.50
25.00
30.00
IV
Social assets
a.
Family size
4.72
4.15
4.00
b.
Participation in village
meeting
7
5
2
c.
Mass media
5
3
1
V
Financials assets
a.
Saving ( )
a. Cash( )
3650
16900 22350
b. Jewel( )
40000 50000 80000
c. Land ( )
170000 180000 280000
Total
213650 246900 382350
b.
Credit
a. Formal credit
10.00
0.00
0.00
b. Amount (in thounsand) 13
-
-
c. Informal credit
57.50
35.00
25.00
d. Amount(in thounsand) 161
142
124
3.4 Natural assets
Natural assets were assessed
in term of fish catch,
seasonality of catch and habitat destruction. The fish
catch and seasonality of fish catch was both coincided
with pollution intensity. The fish catch for low
affected fishermen was highest with 233 Kg per catch
and it was higher over medium affected fishermen by
120.73 per cent and over serious affected fishermen
by 159.59 per cent. The seasonality of fish catch was
assessed by examining the fish catch in peak and lean
season. The peak season fish catch was highest for
low affected fishermen with 250 Kg and it was higher
over medium affected fishermen by 121.36 per cent
and over serious affected fishermen by 150.60 per
cent. The lean season fish catch was also highest for
low affected fishermen with 200 Kg and it was higher
over medium affected category by 163.93 per cent and
over serious affected category by 166.67 per cent. The
habitat destruction by the operation of industries was
highest in seriously affected category with seven
industries followed by medium affected category with
five industries and low affected category with two
industries.
3.5 Physical assets
The physical assets of fishermen were examined by
means of value and quality of housing, sanitation,
accessibility to schools and hospitals and value of boat
and all these varied with pollution intensity. Housing
value was highest for low affected fishermen with Rs.
4.95 lakhs and all are pucca cement houses. For
medium affected fishermen, even though the
proportion of pucca houses was of 97.50 per cent, the
value was only 2.64 lakhs. For low affected fishermen,
the proportion of pucca houses was 87.50 per cent
with the value of 2.19 lakhs. Sanitation was also
varied with pollution intensity and the proportion of
houses with toilets was highest for low affected
category with 75.00 per cent. It was comparatively
low for medium and serious affected category with the
proportion of 32.50 per cent and 25.00 per cent
respectively. Accessibility to schools and hospitals
was increased with pollution intensity. Value of boat
was highest in low affected category with 3.03 lakhs
and it was higher over medium affected category by
248.36 per cent and higher over serious affected
category by 270.54 per cent.
