The Demand for Wine Tourism in Canyon County, Idaho
AbstractMany commercial wineries produce a dual product: commercial wine and wine tourism. Since Idaho wineries charge no entry price, wine tourism demand can only be ascertained with a shadow price for winery visitation. Demand for wine tourism visits for Canyon County in southern Idaho was estimated using the travel cost method. Trip demand was inelastic (-0.4 to -0.6) with respect to own price. The average value of Canyon County wine tourism ranged from $6 to $12 per person per trip, depending upon the assumed opportunity cost of travel time. Elasticities of tastes and preferences, closely related goods, and income were estimated with a view to understanding the market for Idaho's emerging wine tourism industry.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by International Food and Agribusiness Management Association (IAMA) in its journal International Food and Agribusiness Management Review.
Volume (Year): 07 (2004)
Issue (Month): 04 ()
Travel cost model; Wine tourism; Wine marketing; Resource /Energy Economics and Policy;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- John R. McKean & Richard G. Walsh & Donn M. Johnson, 1996. "Closely Related Good Prices in the Travel Cost Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 640-646.
- V. Kerry Smith & William H. Desvousges & Matthew P. McGivney, 1983. "The Opportunity Cost of Travel Time in Recreation Demand Models," Land Economics, University of Wisconsin Press, vol. 59(3), pages 259-278.
- Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
- Loomis, John B. & Gonzalez-Caban, Armando & Englin, Jeffrey E., 2001. "Testing For Differential Effects Of Forest Fires On Hiking And Mountain Biking Demand And Benefits," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(02), December.
- W. Douglass Shaw, 1992. "Searching for the Opportunity Cost of an Individual's Time," Land Economics, University of Wisconsin Press, vol. 68(1), pages 107-115.
- Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
- Cameron, Trudy Ann & Shaw, W. Douglass & Ragland, Shannon E. & Callaway, J. Mac & Keefe, Sally, 1996. "Using Actual And Contingent Behavior Data With Differing Levels Of Time Aggregation To Model Recreation Demand," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(01), July.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.