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Relationship between Price Sensitivity and Expenditures in the Choice of Tourism Activities at the Destination

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  • Juan L. Nicolau

    (Department of Marketing, Faculty of Economics, University of Alicante, PO Box 99, 03080 Alicante, Spain)

  • Lorenzo Masiero

    (Institute for Economic Research (IRE), Faculty of Economics, University of Lugano, Switzerland)

Abstract

The analysis of the drivers of expenditures is an important topic that has been studied in the literature; however, the effect of individual price sensitivities to tourism activities on on-site expenditures has received no attention. Price sensitivity is an internal characteristic of the individual related to an external, very influential variable (price), and expenditures on tourism activities represent direct income for the destination. On this account, the objective of this study is to analyse the effect of individual price sensitivity on tourists' expenditures tourists on vacation activities. The operative formalization follows a mixed logit model to estimate individual sensitivities to price, and then a regression analysis to detect their effect on expenditures. The empirical application finds that price sensitivity has a non-linear quadratic influence on holiday expenditures. The managerial implications are also outlined.

Suggested Citation

  • Juan L. Nicolau & Lorenzo Masiero, 2013. "Relationship between Price Sensitivity and Expenditures in the Choice of Tourism Activities at the Destination," Tourism Economics, , vol. 19(1), pages 101-114, February.
    • Handle: RePEc:sae:toueco:v:19:y:2013:i:1:p:101-114
    DOI: 10.5367/te.2013.0192
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    References listed on IDEAS

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    Cited by:

    1. Hugues Seraphin & Stanislav Ivanov, 2020. "Overtourism: a revenue management perspective," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(3), pages 146-150, June.
    2. Andreas PAPATHEODOROU & Pavlos ARVANITIS, 2014. "Tourism And The Economic Crisis In Greece - Regional Perspectives," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 183-203.
    3. Taiga Saito & Akihiko Takahashi & Noriaki Koide & Yu Ichifuji, 2017. "Optimal overbooking strategy in online hotel booking systems¡ÊRevised as "Application of Online Booking Data to Hotel Revenue Management" in F-448¡Ë," CARF F-Series CARF-F-421, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    4. Nazia Nabi, 2023. "Segmenting travellers of luxury destinations in a post-pandemic era," Service Business, Springer;Pan-Pacific Business Association, vol. 17(3), pages 747-770, September.

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