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Stochastic Choice Analysis Of Tourism Destinations

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Author Info
Francisco J. Mas () (Universidad de Alicante)
Juan Luis Nicolau () (Universidad de Alicante)

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Abstract

The analysis of tourist destination choice, defined by intra-country administrative units and by product types "coastal/inland and village/city", permits the characterisation of tourist flow behaviour, which is fundamental for public planning and business management. In this study, we analyse the determinant factors of tourist destination choice, proposing various research hypotheses relative to the impact of destination attributes and the personal characteristics of tourists. The methodology applied estimates Nested and Random Coefficients Multinomial Logit Models, which allow control over possible correlations among different destinations. The empirical application is realised in Spain on a sample of 3,781 individuals and allows us to conclude that prices, distance to the destination and personal motivations are determinants in destination choice.

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File URL: http://www.ivie.es/downloads/docs/wpasad/wpasad-2004-07.pdf
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File Function: Fisrt version / Primera version, 2004
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Publisher Info
Paper provided by Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie) in its series Working Papers. Serie AD with number 2004-07.

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Length: 34 pages
Date of creation: Feb 2004
Date of revision:
Publication status: Published by Ivie
Handle: RePEc:ivi:wpasad:2004-07

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Related research
Keywords: Tourism Marketing; Intra-country destination; Coastal/inland; Village/city; Nested and Random Coefficients Logit Models.;

References listed on IDEAS
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  1. Kenneth Train, 2000. "Halton Sequences for Mixed Logit," Department of Economics, Working Paper Series 1035, Department of Economics, Institute for Business and Economic Research, UC Berkeley. [Downloadable!]
    Other versions:
  2. Morey, Edward R, 1984. "The Choice of Ski Areas: Estimation of a Generalized CES Preference Ordering with Characteristics," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 584-90, November. [Downloadable!] (restricted)
  3. Morey, Edward R. & Shaw, W. Douglass & Rowe, Robert D., 1991. "A discrete-choice model of recreational participation, site choice, and activity valuation when complete trip data are not available," Journal of Environmental Economics and Management, Elsevier, vol. 20(2), pages 181-201, March. [Downloadable!] (restricted)
  4. Mike Baxter & Gordon Ewing, 1981. "Models of recreational trip distribution," Regional Studies, Taylor and Francis Journals, vol. 15(5), pages 327-344, October. [Downloadable!] (restricted)
  5. Rugg, Donald, 1973. "The Choice of Journey Destination: A Theoretical and Empirical Analysis," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 64-72, February. [Downloadable!] (restricted)
  6. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132. [Downloadable!] (restricted)
  7. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239. [Downloadable!] (restricted)
  8. 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. [Downloadable!] (restricted)
  9. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, March. [Downloadable!]
  10. Louviere, Jordan J & Hensher, David A, 1983. " Using Discrete Choice Models with Experimental Design Data to Forecast Consumer Demand for a Unique Cultural Event," Journal of Consumer Research: An Interdisciplinary Quarterly, University of Chicago Press, vol. 10(3), pages 348-61, December.
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