International Journal of Marine Science 2016, Vol.6, No.36, 1-8
6
Table 3 Travel cost of tourists for mangrove forest and silver beach
S. No.
Cost
Mangrove forest
Silver beach
1
Travel expenditure (
₹
)
518
(33.00)
247
(51.00)
2
Entry cost (
₹
)
300
(19.00)
-
3
Wage loss(
₹
)
744
(48.00)
240
(49.00)
4
Total
1562
(100.00)
487
(100.00)
Table 4 Semi log function for mangrove forest and silver beach
S. No.
Variable
Mangrove forest
Silver beach
1
Regression coefficient
0.95
0.79
2
Travel cost
-0.0002*
-0.0009*
3
Size of group
0.07*
0.23**
4
Distance from native
-0.0001*
-0.01**
5
Annual income
0.00005**
0.00007**
6
R
2
0.81
0.79
7
(
2
R
)
0.78
0.77
Table 5 Estimation of consumer surplus
S. No
Particulars
Mangrove forest
Silver beach
1
Consumer surplus per trip per person (
₹
)
5000
1111
2
Average number of visits/ person
5
16
3
Consumer surplus /annum/ person
25000
17776
4
Average number of persons
79935
246740
5
Total consumer surplus (Crores)
199.84
438.60
3.2.1 Semi log function
Consumer Surplus per trip was estimated first by fitting semi-log function and then estimating it as the inverse of
the travel cost coefficient. The estimated semi log function for mangrove forest and silver beach is presented in
Table 4. It could be seen from the table that travel cost and distance from native, negatively influenced the number
of visits(Y) for both mangrove forest and silver beach which implies that as the travel cost and distance from
native increases, the number of visits to the tourist spots decrease. On the other hand, size of group of tourists and
annual income positively influenced the number of visits for both the tourist spots.
