SURE Estimation of Tourism Demand System Model:

Pyo, Sung Soo; Uysal, Muzaffer; Warner, John T.

doi:10.1300/j073v05n01_09

Cited by 4 publications

(1 citation statement)

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“…Spatial spillovers of tourism to nearby destinations are recognized in the literature as a specific type of spatial interaction among tourist destinations (Stöhr 1983; Pyo, Uysal, and Warner 1996; Gooroochurn and Hanley 2005; Li et al 2011; Marrocu and Paci 2013; Balli, Curry, and Balli 2015). In this type of interaction, there are distinct benefits associated with proximity or spatial groupings of destinations that make them more attractive to tourists who engage in multidestination travel.…”

Section: Introductionmentioning

confidence: 99%

Designing a Tourism Spillover Index Based on Multidestination Travel

Yang

Fik

Zhang

2016

Journal of Travel Research

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The proliferation of multidestination trips provides valuable opportunities for regions to benefit from spillover effects generated by other regions nearby. To better understand the spatial patterns of multidestination travel, we propose a twostage distance-based model. Results suggest that long-haul tourists (i.e., those who travel far from home) tend to choose a subsequent destination that is closer to the previous destination but farther away from their residences. In addition to sociodemographic and tripographic factors, we recognize the importance of spatial structure effects in determining the travel distance for a multidestination trip. Based on the model estimates, we propose a tourism spillover index to reflect a region's potential to receive spillover benefits from multidestination tourists leaving a particular region. Finally, we discuss implications for marketing strategies to enhance the attraction potential of specific destinations.

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