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Terrorism and Wine Tourism: The Case of Museum Attendance

Published online by Cambridge University Press:  20 November 2018

Olivier Gergaud ,
Florine Livat  and
Haiyan Song
Olivier Gergaud
Affiliation:
KEDGE Business School, 680 cours de la Libération, 33405 Talence cedex, France; e-mail: [email protected].
Florine Livat
Affiliation:
KEDGE Business School, 680 cours de la Libération, 33405 Talence cedex, France; e-mail: [email protected].
Haiyan Song
Affiliation:
School of Hotel and Tourism Management, The Hong Kong Polytechnic University, 17 Science Museum Road, Hong Kong SAR, China; e-mail: [email protected].
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Abstract

In this article, we use attendance data from La Cité du Vin, a wine museum in the city of Bordeaux, to assess the impact of the recent wave of terror that affected France on wine tourism. We use recent count regression estimation techniques suited for time series data to build a prediction model of the demand for attendance at this museum. We conclude that the institution lost about 5,000 visitors over 426 days, during which 14 successive terrorist attacks took place. This corresponds to almost 1% of the total number of visitors in the sample period. (JEL Classifications: L83, Z30)

Keywords

museum attendanceterrorismtourism economicswine tourism
Type
Articles
Information
Journal of Wine Economics , Volume 13 , Issue 4 , November 2018 , pp. 375 - 383
Copyright
Copyright © American Association of Wine Economists 2018 

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Footnotes

The authors would like to thank the participants at the 12th conference of the American Association of Wine Economists in Ithaca, NY, and an anonymous reviewer for valuable comments and suggestions. All remaining errors are the responsibility of the authors.

References

Araña, J. E., and León, C. J. (2008). The impact of terrorism on tourism demand. Annals of Tourism Research, 35(2), 299–315.Google Scholar
Cameron, A. C., and Trivedi, P. K. (2005). Microeconometrics: Methods and Applications. New York: Cambridge University Press.Google Scholar
CRT. (2017). Bilan de l'Activité Touristique de l'Année 2016. Paris : CRT Paris Île-de-France.Google Scholar
De Roos, N., and McKenzie, J. (2014). Cheap Tuesdays and the demand for cinema. International Journal of Industrial Organization, 33, 93–109.Google Scholar
Einav, L. (2007). Seasonality in the US motion picture industry. Rand Journal of Economics, 38(1), 127–145.Google Scholar
Frey, B. S., Luechinger, S., and Stutzer, A. (2007). Calculating tragedy: Assessing the costs of terrorism. Journal of Economic Surveys, 21(1), 1–24.Google Scholar
Gordin, V., and Matetskaya, M. (2012). Creative tourism in Saint Petersburg: The state of the art. Journal of Tourism Consumption and Practice Volume, 4(2), 55–77.Google Scholar
Huang, X., Zhang, L., and Ding, Y. (2017). The Baidu index: Uses in predicting tourism flows–A case study of the forbidden city. Tourism Management, 58, 301–306.Google Scholar
Leadley, J. C., and Zygmont, Z. X. (2006). When is the honeymoon over? National hockey league attendance, 1970–2003. Canadian Public Policy/Analyse de Politiques, 32(2), 213–232.Google Scholar
Mellon, J. (2013). Where and when can we use google trends to measure issue salience? PS: Political Science & Politics, 46(2), 280–290.Google Scholar
Önder, I., and Gunter, U. (2016). Forecasting tourism demand with Google trends for a major European city destination. Tourism Analysis, 21(2–3), 203–220.Google Scholar
Richardson, H. W., Gordon, P., Moore II, J. E., Kim, S., Park, J., and Pan, Q. (2005). Tourism and terrorism: The national and interregional economic impacts of attacks on major US theme parks. In Richardson, H. W., Gordon, P., and Moore, J. E. (eds.), The Economic Costs and Consequences of Terrorism, 235–253. Cheltenham: Edward Elgar.Google Scholar
Ripberger, J. T. (2011). Capturing curiosity: Using internet search trends to measure public attentiveness. Policy Studies Journal, 39(2), 239–259.Google Scholar
Schwartz, J., Spix, C., Touloumi, G., Bacharova, L., Barumamdzadeh, T., Le Tertre, A., and Saez, M. (1996). Methodological issues in studies of air pollution and daily counts of deaths or hospital admissions. Journal of Epidemiology & Community Health, 50(Suppl. 1), S3–11.Google Scholar
Seaman, B. A. (2006). Empirical studies of demand for the performing arts. In Ginsburgh, V. and Throsby, D. (eds.), Handbook of the Economics of Art and Culture, 1, 416–472. Amsterdam: Elsevier.Google Scholar
Skinner, S. J., Ekelund, R. B. Jr., and Jackson, J. D. (2009). Art museum attendance, public funding, and the business cycle. American Journal of Economics and Sociology, 68(2), 491–516.Google Scholar
Sönmez, S. F. (1998). Tourism, terrorism, and political instability. Annals of Tourism Research, 25(2), 416–456.Google Scholar
Sönmez, S., Backman, S., and Allen, L. (1993). Crisis management for event tourism. Festival Management and Event Tourism, 1(3), 110–120.Google Scholar
Volchek, E., Song, H., Law, R., and Buhalis, D. (2018). Forecasting London museum visitors using google trends data. e-Review of Tourism Research. Available at https://journals.tdl.org/ertr/index.php/ertr/article/view/121/28.Google Scholar