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Measuring Use Value from Recreation Participation

Published online by Cambridge University Press:  28 April 2015

John C. Whitehead
John C. Whitehead*
Affiliation:
Department of Economics at East Carolina University
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Abstract

Recreation demand studies have traditionally utilized a two-step valuation method, estimating conditional recreation participation probabilities and then intensity of use decisions. These two steps of analysis are combined to estimate the use value of natural resource recreation sites. The purpose of this paper is to provide a method by which use value can be estimated solely from the participation decision. The one-step resource valuation method allows estimation of use values from coefficients of the logistic regression recreation participation equation. The benefits of the method are the reduced data and effort required to value natural resource areas.

Keywords

logistic regressionrecreation participationuse value

Information

Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 24 , Issue 2 , December 1992 , pp. 113 - 119
Copyright
Copyright © Southern Agricultural Economics Association 1992

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References

Amemiya, Takeshi. “Qualitative Response Models: A Survey.” J. Econ. Lit., (1981): 1483–1536.Google Scholar
Blomquist, Glenn C., and Whitehead, John C.. The Effect of Alternative and Reclaimed Areas on the Value of Wetlands. U.S. Department of the Interior, Office of Surface Mining Reclamation and Enforcement, Technical Report 597, 1991.Google Scholar
Bockstael, Nancy E., Strand, Ivar E. Jr., McConnell, Kenneth E., and Arsanjani, Firuzeh. “Sample Selection Bias in the Estimation of Recreation Demand Functions: An Adaptation to Sportfishing.” Land Economics, 66 (1990): 40–49.CrossRefGoogle Scholar
Charbonneau, J. John, and Hay, Michael J.. “Determinants and Economic Values of Hunting and Fishing.” In Transactions, 43rd North American Wildlife and Natural Resources Conference. Washington, DC: Wildlife Management Institute, 1978.Google Scholar
Cicchetti, Charles J.Forecasting Recreation in the United States. Lexington, MA: D.C. Heath, 1973.Google Scholar
Clawson, Marion, and Knetsch, Jack L.. Economics of Outdoor Recreation. Baltimore, Maryland: Johns Hopkins University Press, 1966.Google Scholar
Deyak, Timothy A, and Smith, V. Kerry. “Congestion and Participation in Outdoor Recreation: A Household Production Function Approach.” J. Envir. Econ. and Management, 5 (1978): 63–80.CrossRefGoogle Scholar
Forster, Bruce A. “Valuing Outdoor Recreational Activity: A Methodological Survey.” J. Leisure Res., 21(1989):181–201.CrossRefGoogle Scholar
Gleason, Larry N., and Schaaf, Lauren E.. “Hunter/Harvest Survey: 1984.” Kentucky Department of Fish and Wildlife Resources. Frankfort, KY, 1986.Google Scholar
Hay, Michael J. and McConnell, Kenneth E.. “An Analysis of Participation in Nonconsumptive Wildlife Recreation.” Land Economics, 55(1979):460–471.CrossRefGoogle Scholar
Hay, Michael J. and McConnell, Kenneth E.. “Harvesting and Nonconsumptive Wildlife Recreation Decisions.” Land Economics, 60 (1984): 388–396.CrossRefGoogle Scholar
Kentucky Department for Natural Resources and Environmental Protection, Division of Water. The Effects of Coal Mining Activities on the Water Quality of Streams in the Western and Eastern Coalfields of Kentucky. Frankfort, KY. 1981.Google Scholar
Little, Roderick J.A., and Rubin, Donald B.. “The Analysis of Social Science Data with Missing Values.” Sociological Methods and Research, 18(1989):292–326.CrossRefGoogle Scholar
McConnell, Kenneth E. “The Economics of Outdoor Recreation.” In Handbook of Natural Resource and Energy Economics, edited by Kneese, A.V. and Sweeney, J.L., Vol. 11. Amsterdam: Elsevier Science Publishers, 1985.Google Scholar
Miller, Jon R., and Hay, Michael J.. “Determinants of Hunter Participation: Duck Hunting in the Mississippi Flyway.” Am. J. Agr. Econ., 63(1981):677–684.CrossRefGoogle Scholar
Mitsch, William J., Taylor, Jan R., Benson, Kimberly B., and Hill, Paul L. Jr. Atlas of Wetlands in the Principal Coal Surface Mining Region of Western Kentucky. Lexington: University of Kentucky, Water Resources Research Institute, 1983.Google Scholar
Rockel, Mark L., and Kealy, Mary Jo. “The Value of Nonconsumptive Wildlife Recreation in the United States.” Land Economics, 67(1991):422–434.CrossRefGoogle Scholar
Shadowen, H.E., Schaaf, Lauren E., and Phillips, John. “Deer Hunter Attitude Survey: 1983.” Kentucky Department of Fish and Wildlife Resources. Frankfort, KY, 1984.Google Scholar
Smith, V. Kerry. “Selection and Recreation Demand.” Am. J. Agr. Econ., 70(1988):29–36.CrossRefGoogle Scholar
Stynes, Daniel J., and Peterson, George L.. “A Review of Logit Models with Implications for Modeling Recreation Choices.” J. Leisure Res., 16(1984): 295–310.CrossRefGoogle Scholar
University of Kentucky, 1988 Center for Business and Economic Research. 1988 Statistical Abstract. Lexington, KY.Google Scholar
Walsh, Richard G., Kun, John H., and McKean, John R.. “Comparing Long-Run Forecasts of Demand for Fish and Wildlife Recreation.” Leisure Sciences, 11(1989):337–351.CrossRefGoogle Scholar
Zeimer, Rod F., Musser, Wesley N., White, Fred C., and Hill, R. Carter. “Sample Selection Bias in Analysis of Consumer Choice: An Application to Warmwater Fishing Demand.” Water Resources Research, 18(1982):215–219.CrossRefGoogle Scholar