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Proceedings of an International Year of Mountains - Australian Alps ...

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Price<br />

12<br />

11<br />

Consumer<br />

surplus<br />

attributable<br />

to the first<br />

glass <strong>of</strong><br />

water<br />

Consumer<br />

surplus<br />

attributabl<br />

able to<br />

the second glass<br />

<strong>of</strong> water<br />

Consumer<br />

surplus <br />

attributabl<br />

able to<br />

the third glass <strong>of</strong><br />

water<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

P = 1<br />

0<br />

Total consumer surplus<br />

from consuming ten<br />

glasses <strong>of</strong> water<br />

Dem<strong>an</strong>d Curve<br />

0 1 2 3 4 5 6 7 8 9 10 11 12<br />

Qu<strong>an</strong>tity<br />

Figure 3 - Consumer Surplus<br />

Consumer Surplus <strong>an</strong>d The TCM<br />

While there are m<strong>an</strong>y different versions <strong>of</strong> the TCM, the simplest (hereafter referred to as the zonal TCM)<br />

is theoretically capable <strong>of</strong> generating <strong>an</strong> estimate <strong>of</strong> the consumer surplus (CS) attributable to recreation<br />

at a particular area.<br />

TCM treats the cost <strong>of</strong> travel as a proxy for price. The first stage <strong>of</strong> the TCM involves identifying the<br />

number <strong>an</strong>d origin <strong>of</strong> visitors to a recreational site, <strong>an</strong>d estimating their costs in travelling from that origin<br />

to the site <strong>an</strong>d back again. This information is then used to estimate the functional relationship between<br />

visitation rates <strong>an</strong>d travel costs. Stage two <strong>of</strong> the process makes the assumption that individuals react to<br />

ch<strong>an</strong>ges in travel costs in the same way as they react to ch<strong>an</strong>ges in price, <strong>an</strong>d uses the function estimated<br />

in stage one to simulate visitation responses to hypothetical ch<strong>an</strong>ges in price. A dem<strong>an</strong>d curve for the<br />

recreational area is thereby derived <strong>an</strong>d used to estimate consumer surplus.<br />

To illustrate, assume that travel costs, alone, influence visitation, that the current entry price (P) is zero.<br />

Assume also that the research observes the number <strong>of</strong> visits (V) from each <strong>of</strong> three different ‘zones <strong>of</strong><br />

origin’, at a r<strong>an</strong>ge <strong>of</strong> different travel costs (TC). These are shown in the first three columns <strong>of</strong> Table 1.<br />

Stage one <strong>of</strong> the implementation process involves regressing V against TC to estimate wV/wTC (in this<br />

case, negative 1). From this, one c<strong>an</strong> infer that within <strong>an</strong>y zone, 'V = -1 x 'TC. Stage two <strong>of</strong> the<br />

implementation process occurs when one uses that information to predict the number <strong>of</strong> visits (from each<br />

zone) which would obtain at higher travel costs (= TC + P):<br />

150<br />

Celebrating <strong>Mountains</strong> – An <strong>International</strong> <strong>Year</strong> <strong>of</strong> <strong>Mountains</strong> Conference<br />

Jindabyne, New South Wales, Australia

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