$1,000.00 increase in income would result in a 1 day increase in the time
spent at the recreation site per visit. This indicates that even though
income is significant in determining length of stay, the number of days
at the site is not very responsive to small changes in income. The
income elasticity is less than 1 for incomes of $100,000 or less. This
implies that, within this range, as income increases 1 percent, the
amount of recreation will increase less than 1 percent.
1
The coefficient of the variable is negative. The negative sign
of the coefficient indicates that as the group size increases the number
of days spent at the recreation site per visit increases. This can per-
haps be explained by hypothesizing that larger group sizes usually
indicate family groups who are taking vacation time while individual
recreationists usually spend only a few hours.
Equation (9) was used to determine a demand function for outdoor
recreation. The demand function for outdoor recreation is a relation-
ship between the quantity of recreation consumed (days at a site per
person per visit, y) and various prices of recreation (on-site costs
per person per day, c) with all other variables held constant. The
demand curve for an average individual was determined by holding all
independent variables except c in Equation (9) at their means.
By using the mean values of t, m, n, 01, D2, and D3 in Equation (9)
and solving for the In y in terms of c,the demand function becomes:
(10) ln y = 1.929 .051 c\
The means of the dependent and independent variables are summarized
in Table 5.