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Natural Resource Damage Assessment: Methods and Cases

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C. An Application of the Benefits Transfer Method for Valuing Groundwater<br />

We briefly describe the case study conducted by Crutchfield et al. (1995) to show how<br />

estimates of groundwater quality benefits can be transferred to areas beyond the original study<br />

sites. They selected three studies from those listed in Table 3.2 because of the small amount of<br />

information needed to compute willingness to pay estimates <strong>and</strong> because these studies had been<br />

published in peer-reviewed literature. These three studies are Jordan <strong>and</strong> Elnagheeb (1993),<br />

Shultz <strong>and</strong> Lindsay (1990) <strong>and</strong> Sun et al. (1992). Each of these studies estimated a willingness to<br />

pay function for groundwater protection given by<br />

WTP = f(b,x,z),<br />

where WTP is willingness to pay for preventing contamination or cleaning groundwater to safe<br />

levels for drinking, <strong>and</strong> the other notation is defined as follows:<br />

f(.) is a valuation function<br />

b= hypothetical bid value<br />

x = variables proxying for price of access to the resource, quantity <strong>and</strong> quality of resource<br />

z =dem<strong>and</strong> determinants such as income, education, age etc.<br />

The three original studies had included variables such as income, gender, race, age,<br />

education, status of current water quality, l<strong>and</strong> value, future dem<strong>and</strong> for clean water <strong>and</strong> bid<br />

value. Crutchfield et al. (1995) used USDA data from surveys of farmers in four Area Studies<br />

regions in 1991 to obtain comparable data about socio-economic characteristics of farmers in<br />

their study region. A proxy variable for income was constructed using data from the USDA Farm<br />

Costs <strong>and</strong> Returns Survey. County level data on sex <strong>and</strong> racial composition was obtained from<br />

the latest Census of Agriculture. Since the researchers did not have information on farmers’<br />

attitudes about pollution probabilities for sites for which benefits were being estimated, they used<br />

mean values from the original studies. They used these data to estimate willingness to pay for<br />

groundwater quality in four areas on a county-by-county basis. County averages were then used<br />

to estimate willingness to pay per household. The per-household values were multiplied by the<br />

number of rural households in each county to obtain an estimate of aggregate willingness to pay<br />

at the county level. These estimates were further improved by correcting for differences in the<br />

distribution of risks across households based on the whether the region was classified as<br />

hazardous, risky, slightly risky or safe, <strong>and</strong> by assuming that households whose water supplies<br />

are not at risk will not be willing to pay.<br />

D. Legislation Applying to Groundwater<br />

As already established, groundwater is an important natural resource with many uses. In a<br />

majority of situations, it is more expensive to clean up contaminated groundwater than it is to<br />

prevent its contamination. Therefore, legislation to prevent or reduce contamination of<br />

groundwater, as well as clean up the contamination when it does occur, has been instituted.<br />

Unfortunately, the effectiveness of these laws in protecting groundwater may be limited, as many<br />

of these laws focus on surface water rather than groundwater. Additionally, water protection<br />

programs are split between federal, state, <strong>and</strong> local levels, making the enforcement of these laws<br />

75

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