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Travel Cost Methods for Estimating the Recreational Use Benefits of Artificial Marine Habitat

Published online by Cambridge University Press:  28 April 2015

J. Walter Milon
J. Walter Milon*
Affiliation:
Food and Resource Economics Department, University of Florida
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Abstract

The growing popularity of marine recreational fishing has created considerable interest in artificial marine habitat development to maintain and enhance coastal fishery stocks. This paper provides a comparative evaluation of travel cost methods to estimate recreational use benefits for new habitat site planning. Theoretical concerns about price and quality effects of substitute sites, corner solutions in site choice, and econometric estimation are considered. Results from a case study indicate that benefit estimates are influenced by the way these concerns are addressed, but relatively simple single site models can provide defensible estimates. Practical limitations on data collection and model estimation are also considered.

Keywords

travel cost methoduse benefitsrecreational fishingartificial habitatlimited dependent variablesdiscrete choice models
Type
Submitted Articles
Information
Journal of Agricultural and Applied Economics , Volume 20 , Issue 1 , July 1988 , pp. 87 - 101
Copyright
Copyright © Southern Agricultural Economics Association 1988

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References

Ben-Akiva, M., and Lerman, S.R.. Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge, Mass.: MIT Press, 1985.Google Scholar
Bockstael, N., Strand, I., and Hanemann, M.. “Time and the Recreational Demand Model.” Amer. J. Agr. Econ., 69 (1987):293–302.CrossRefGoogle Scholar
Bohnsack, J.A., and Sutherland, D.L.. “Artificial Reef Research: A Review with Recommendations for Future Priorities.” Bull. Mar. Science, 37 (1985):11–39.Google Scholar
Burt, O. R., and Brewer, D.. “Estimation of Net Social Benefits From Outdoor Recreation.” Econometrica, 39 (1971):813–827.CrossRefGoogle Scholar
Cicchetti, C.J., Fisher, A.C., and Smith, V.K.. “An Econometric Evaluation of a Generalized Consumer Surplus Measure: The Mineral King Controversy.” Econometrica, 44 (1976):1259–1276.CrossRefGoogle Scholar
Ditton, R.B., and Graefe, A.R.. Recreational Fishing Use of Artificial Reefs on the Texas Coast. Department of Recreation and Parks, Texas A & M University, College Station, 1978.Google Scholar
Gordon, W.R. Jr., and Ditton, R.B.. “A User-Resource Planning Framework for Offshore Recreational Artificial Reefs.” Coastal Zone Mgmt. J., 13 (1986):369–395.CrossRefGoogle Scholar
Hanemann, W.M. “Measuring the Worth of Natural Resource Facilities: Comment.” Land Econ., 56 (1980):482–486.CrossRefGoogle Scholar
Hausman, J.A. “Exact Consumer's Surplus and Deadweight Loss.” Amer. Econ. Rev., 71 (1981):662–676.Google Scholar
Hof, J.G., and King., D.A. “On the Necessity of Simultaneous Recreation Demand Equation Estimation.” Land Econ., 58 (1982):547–552.CrossRefGoogle Scholar
Kushman, J. “Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses: Comment.” Amer. J. Agr. Econ., 69 (1987):182–184.CrossRefGoogle Scholar
Liao, D.S., and Cupka, D.M.. Economic Impacts and Fishing Success of Offshore Sport Fishing Over Artificial Reefs and Natural Habitats in South Carolina. South Carolina Marine Resources Center Technical Report 38, Charleston, SC, 1979.Google Scholar
Maddala, G.S.Econometrics. New York: McGraw-Hill, 1977.Google Scholar
Maddala, G.S.Limited-Dependent and Qualitative Variables in Econometrics. Cambridge: University Press, 1983.CrossRefGoogle Scholar
McConnell, K., and Bockstael, N.. “Aggregation in Recreation Economics: Issues of Estimation and Benefit Measurement.” No. East. J. Agr. Econ., 13 (1984):181–186.Google Scholar
McFadden, D. “Econometric Models of Probabilistic Choice.” In Structural Analysis of Discrete Data With Econometric Applications. Ed. Manski, C.F. and McFadden, D.. Cambridge, Mass.: MIT Press, 1981.Google Scholar
Milon, J.W.The Economic Benefits of Artificial Reefs: An Analysis of the Dade County, Florida Reef System. State University of Florida, Florida Sea Grant College Report, Gainesville, FL (1987), forthcoming.Google Scholar
Morey, E.R. “Characteristics, Consumer Surplus, and New Activities.” J. Pub. Econ., 26 (1985):221–236.CrossRefGoogle Scholar
National Marine Fisheries Service, U.S.Department of Commerce. Fisheries of the United States. Current Fishery Statistics No. 8368. Washington D.C. 1986.Google Scholar
National Research Council, Committee on Disposition of Offshore Platforms. Disposal of Offshore Platforms. Department of Interior and National Academy of Sciences Agreement No. N00014-82-C-0032, Washington, D.C., 1985.Google Scholar
Randall, A., and Stoll, J.R.. “Consumer's Surplus in Commodity Space.” Amer. Econ. Rev., 71 (1980):449–457.Google Scholar
Reggio, V.C Jr. “Rigs-to-Reefs.” Fisheries, 12 (1987):2–7.Google Scholar
Roberts, K., and Thompson, M.E.. Petroleum Production Structures: Economic Resources for Louisiana Sport Divers. Sea Grant Publication No. LSU-TL-83-002. Louisiana Sea Grant College Program, Baton Rouge, 1983.Google Scholar
Small, K.A., and Rosen, H.S.. “Applied Welfare Economics With Discrete Choice Models.” Econometrica, 49 (1981):105–130.CrossRefGoogle Scholar
Smith, V.K., Desvousges, W.H., and Fisher, A.. “A Comparison of Direct and Indirect Methods for Estimating Environmental Benefits.” Amer. J. Agr. Econ., 68 (1986):280–290.CrossRefGoogle Scholar
Smith, V.K., and Kaoru, Y.. “Modeling Recreation Demand Within A Random Utility Framework.” Econ. Letters, 22 (1986):395–399.CrossRefGoogle Scholar
Sport Fishing Institute, Artificial Reef Development Center, Washington D.C. (personal communication).Google Scholar
Stone, R.B. “History of Artificial Reef Use in the United States.” In Artificial Reefs: Marine and Freshwater Application. Ed. D'Itri, F.M.. Chelsea, MI: Lewis Publishers, Inc., 1985.Google Scholar
Stynes, D.J., and Peterson, G.R.. “A Review of Logit Models With Implications For Modeling Recreation Choices.” J. Leisure. Res., 16 (1984):295–310.CrossRefGoogle Scholar
Toro-Vizcarrondo, C, and Wallace, T.D.. “A Test of the Mean Square Error Criterion for Restriction in Linear Regression.” J. Amer. Stat. Assoc., 63 (1968):558–572.Google Scholar
U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service. National Artificial Reef Plan. Washington D.C.: U.S. Department of Commerce, 1985.Google Scholar
Vaughan, W.J., Russell, C.S., and Hazilla, M.. “A Note on the Use of Travel Cost Models With Unequal Zonal Populations: Comment.” Land Econ., 58 (1982):400–407.CrossRefGoogle Scholar
Ziemer, R.F., Musser, W.N., White, F.C., and Hill, R.C.. “Sample Selection Bias in Analysis of Consumer Choice: An Application to Warm water Fishing Demand.” Water Resource Research, 18 (1982):215–219.CrossRefGoogle Scholar