Non-Market Goods - Revealed Preferences - Travel Cost Method
Ribaudo, M. O. and D. J. Epp. 1984. "The Importance of
Sample Discrimination in Using the Travel Cost Method to Estimate the Benefits
of Improved Water Quality." Land Economics 60(4):397-403. This paper presents an application of the travel cost method to estimate
the value of a recreation site with some hypothetical improvement in water
quality. Particular attention is paid to the appropriate survey method. Simply
surveying current users with contingent valuation questions would not capture
the values of users who may have stopped using the site due to its current
poor condition. It is hypothesized that these two groups will value water
quality improvements differently and valuation result from one group cannot be
inferred for the other. Ordinary least squares regression was used to estimate
the demand equations for each group and they were found to be significantly
different. Dwyer, J. F., J. R. Kelly and M. D. Bowes. 1977. Improved Procedures for
Valuation of the Contribution of Recreation to National Economic Development.
Research Report 128. Urbana, IL: Water Resources Center, University of Illinois. This report written in the context of national economic development,
provides a lengthy description of two techniques commonly used to determine
the value of recreation resources by calculating consumer willingness to pay:
a straightforward survey method and the travel cost method. This report
advocates strongly for the use of the travel cost method.
Methodology -
Lake State Examples -
Other Examples
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Methodology:
Lake States
Examples: Murray, C. and B.
Sohngen. 2001. "Valuing Water Quality Advisories and Beach Amenities." Water
Resources Research 37(10):2583-2590. This paper present estimates of the value of reducing beach advisories
along Lake Erie's shoreline in Ohio. Using a travel cost model, the seasonal
benefits of reducing one advisory is estimated. A random utility model is
linked to a Poisson model that predicts annual trips based on individual
willingness to pay and other individual characteristics. Individuals who use
the media in advance of trips gain less, approximately $24 per year, while
those who use only signs posted at the beach would gain more, $38 per year.
Upneja, A., E. L. Shaffer, W. Seo and J. Yoon. 2001. "Economic Benefits of
Sport Fishing and Angler Wildlife Watching in Pennsylvania." Journal of
Travel Research 40(August):68-78. This article answers two major policy questions about the economic benefits
of sport fishing in Pennsylvania: what is the annual value of Pennsylvania's
sport fishing resources, and what is the annual economic impact from the use
of that resource. Data from a mail-based questionnaire with 907 respondents
was used to answered these questions using the travel cost method and
input-output analysis (IMPLAN). The annual total value of the sport fishing
resource was found to be $3.98 billion or about three times the total
out-of-pocket expenses. The study found an overall economic impact of sport
fishing of 4.75 billion. Provencher, B. and R. C. Bishop. 1997. "An Estimable Dynamic Model of
Recreation Behavior with an Application to Great Lakes Angling." Journal of
Environmental Economics and Management 33:107-127. Travel cost method is widely applied to estimate the economic benefit of
nonmarket resources for site-specific recreational activities. This paper
develops a dynamic structural model of the decision to visit a recreation
site. Compared to the typical static model approach to this problem, a dynamic
model allows the analyst to develop a decision problem that looks more like
"the real thing". For illustration, the model is applied to the decisions of
of fishing club members on the Wisconsin shore of Lake Michigan. The authors
conclude that due to the challenges of obtaining appropriate data and some of
the limiting assumptions of the model, that this type of model is likely
appropriate only in certain circumstances. In many cases the static model will
likely yield welfare estimates similar to the dynamic model with much less
cost and effort. The relative accuracy of each modeling technique needs more
empirical investigation.