Recreational Demand for Equestrian Trail-Riding
AbstractUsing data collected from a combination of on-site and on-line surveys, this study examines recreational demand for equestrian trail-riding in Kentucky. A truncated, negative binomial regression is applied to analyze individualsâ€™ visitation behavior consistent with a travel cost model. Results suggest that distance is the most significant determinant of average annual visits to a particular site. Various trail site characteristics, such as trail length, scenic overlooks, and trail markers, affect the number of visits an individual takes. Geographic information system (GIS) analysis permits the identification of equestrian population centers. Information obtained from this study offers a decision base for policymakers to use to manage existing equestrian trails and locate new ones.
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Bibliographic InfoArticle provided by Northeastern Agricultural and Resource Economics Association in its journal Agricultural and Resource Economics Review.
Volume (Year): 38 (2009)
Issue (Month): 2 (October)
equestrian trail-riding; GIS analysis; truncated negative binomial; travel cost method; Resource /Energy Economics and Policy;
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- Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
- Carter Betz & John Bergstrom & J. M. Bowker, 2003. "A Contingent Trip Model for Estimating Rail-trail Demand," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 46(1), pages 79-96.
- Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
- Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-12, February.
- Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
- Trudy Ann Cameron, 1992. "Combining Contingent Valuation and Travel Cost Data for the Valuation of Nonmarket Goods," Land Economics, University of Wisconsin Press, vol. 68(3), pages 302-317.
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