Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-26T15:47:30.076Z Has data issue: false hasContentIssue false

The Economic Impact of the Wine Industry on Hotels and Restaurants: Evidence from Washington State*

Published online by Cambridge University Press:  08 June 2012

Karl Storchmann
Affiliation:
Economics Department, New York University, 19 W. 4th Street, 6FL, New York, NY 10012, email: [email protected]

Abstract

Washington State enjoys an extraordinarily fast growing wine industry and is now the second largest wine producing state in the U.S. This paper examines the impact of this growth on the revenue of hotels and restaurants. Employing a dynamic quarterly panel model at the county level we show that the regional reputation as high quality wine county, as expressed by critical wine points in the national wine press, has a significant effect on the tourism industry. For Walla Walla, the most prominent wine county in the state, less than 17% of all restaurant and approximately 40% of all hotel revenue is tied to the wine cluster (2007). However, regional reputation is not long-living and needs constant replenishment. (JEL Classification: R11, R15, Q19)

Type
Articles
Copyright
Copyright © American Association of Wine Economists 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alcohol and Tobacco Tax and Trade Bureau (2008). Wine producers and blenders, August 2008. Online at http://www.ttb.gov.Google Scholar
Altonji, J.G. and Segal, L.M. (1996). Small-sample bias in GMM estimation of covariance structures. Journal of Business and Economic Statistics, 14, 353366.Google Scholar
Anderson, T.G. and Sørenson, B.E. (1996). GMM estimation of a stochastic volatility model: a Monte Carlo study. Journal of Business and Economic Statistics, 14, 328352.Google Scholar
Arellano, M. and Bond, S.R. (1991). Some tests for specification in panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58, 277297.CrossRefGoogle Scholar
Arellano, M. and Bover, O. (1995). Another look at the instrumental variables estimation or error components models. Journal of Econometrics, 68, 2952.CrossRefGoogle Scholar
Arellano, M. (2003). Panel Data Econometrics. Oxford, UK: Oxford University PressCrossRefGoogle Scholar
Baltagi, B.H. (2005). Econometric Analysis of Panel Data. 3rd edition. Chichester, UK: John Wiley & Sons.Google Scholar
Baum, C.F. (2005). An Introduction to Modern Econometrics Using Stata. College Station: Stata Press.Google Scholar
Bond, S.R. (2002). Dynamic panel data models: a guide to micro data methods and practice. Portuguese Economic Journal, 1(2), 141162.CrossRefGoogle Scholar
Bowsher, C.G. (2002). On testing overidentifying restrictions in dynamic panel data models. Economics Letters, 77, 211–20.CrossRefGoogle Scholar
Blundell, R. and Bond, S.R. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115143.CrossRefGoogle Scholar
Bureau of Labor Statistics (2008). Consumer price index for the west. Western BLS Information Office: San Francisco. Online at: http://www.bls.gov/ro9/ro9news.htmGoogle Scholar
California Department of Food and Agriculture (2006). Grape Acreage, 2005 Crop. Sacramento.Google Scholar
California Department of Food and Agriculture (2007). Grape Crush Report 2006. Sacramento.Google Scholar
Carlsen, J. and Charters, S. (eds.) (2006). Global Wine Tourism: Research, Management and Marketing. CABI: Oxon, UK.Google Scholar
Costanigro, M., McCluskey, J. and Goemans, C. (2009). The economics of nested names: name specifity, reputation and price premia. American Association of Wine Economists AAWE, Working Paper No. 49.Google Scholar
Department of Revenue, Washington State (19962008). Quarterly Business Reviews, Olympia. Online at: http://dor.wa.gov/content/aboutus/statisticsandreports/stats_qbr.aspx~QBRTablesGoogle Scholar
Folwell, R., Drei, G., Holland, D. and Wandschneider, P. (1999). Washington Wine Grape Industry Impacts on the State's Economy. Washington State University Pullman.Google Scholar
Getz, D. (2000). Explore Wine Tourism: Management, Development and Destinations. Cognizant Communication Corporation: New York.Google Scholar
Hall, C.M., Sharples, L., Cambourne, B. and Macionis, N. (eds.) (2000). Wine Tourism Around the World: Development, Management and Markets. Butterworth-Heinemann: Oxford, UK.Google Scholar
Irvine, R. and Clore, W.J. (1997). The Wine Project. Washington State's Winemaking History. Sketch Publications: Vashon, WA.Google Scholar
Landon, S. and Smith, C. (1998). Quality expectations, reputation and price. Southern Economic Journal, 64(3), 628647.Google Scholar
Mapes, L. (2003). Tasting Success. In wine, Walla Walla plants a new field of dreams. Pacific Northwest, The Seattle Times Magazine, November 2, 2003 (also online at http://seattletimes.nwsource.com/pacificnw/2003/1102/cover.html)Google Scholar
MKF (2001). Economic impact of the Washington State wine and wine grape industries. MKF: St. Helena, CA.Google Scholar
MKF (2007). The impact of wine and wine grape products on the American economy 2007. MFK: St. Helena, CA.Google Scholar
National Agricultural Statistics Service (2007). 2006 Oregon vineyard and winery report. Portland.Google Scholar
Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica, 49, 14171426.CrossRefGoogle Scholar
Office of Financial Management (2008). Total Resident Population by Year by County, Washington 1960–2007. Olympia. Online at: http://www.ofm.wa.gov/pop/coseries/default.aspGoogle Scholar
Roodman, D. (2006). How to do xtabond2: an introduction to “difference” and “system” GMM in Stata. Working Paper 103. Center for Global Development, Washington, D.C.CrossRefGoogle Scholar
Roodman, D. (2007). A short note on the theme of too many instruments. Working Paper 125. Center for Global Development, Washington, D.C.Google Scholar
Schamel, G. and Anderson, K. (2003). Wine Quality and Varietal, Regional and Winery Reputations: Hedonic Prices for Australia and New Zealand. The Economic Record, 79, No. 246 (September), 357369.CrossRefGoogle Scholar
Tirole, J. (1996). A theory of collective reputations (with applications to the persistence of corruption and to firm quality. Review of Economic Studies, 63, 122.CrossRefGoogle Scholar
Tourism Development Associates (2004). Tourism assessment and strategic plan. Study prepared for the City of Walla Walla, Tourism Commission. Falmouth, Maine.Google Scholar
U.S. Census Bureau (1995, 2004, 2008). County Business Pattern, Washington. U.S. Census Bureau: Washington D.C.Google Scholar
Velluzzi, N. (2008). Fermenting growth: institutions, agency and the competitive foundations of localized learning in the Walla Walla wine industry. Dissertation. University of Washington, Seattle.Google Scholar
Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126, 2551CrossRefGoogle Scholar
Wine Spectator (2008). Wine Spectator Online Ratings www.winespectator.comGoogle Scholar