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Recreational Demand Functions for Different Categories of Beach Visitor

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  • Silva Marzetti Dall'Aste Brandolini

    (Department of Economics, University of Bologna, Piazza Scaravilli 2, 40126 Bologna, Italy)

Abstract

This paper addresses the estimation of the recreational use value of a beach for different categories of beach visitor and its determinants. According to economic theory, it is generally expected that income and the number of beach visits affect the value of a recreational visit. The recreational value should increase as income increases and should decrease as the number of beach visits increases. Nevertheless, anomalies such as the Veblen effect are admitted. The data used for this research were obtained from a questionnaire carried out in Lido di Dante, a coastal tourist resort in Italy. The contingent valuation method (CVM) in the value of enjoyment (VOE) version was applied. Beach visitors were asked to give a monetary value to informal recreational beach use (such as sunbathing, walking and swimming) in three different scenarios: status quo, erosion and artificial defence. Beach services are modelled in private goods terms, because each individual may make a different number of visits, and different categories of beach visitor (all beach visitors, day visitors and residents, and tourists) are described by presenting their respective use value functions. It is shown that household income explains the recreational beach value of all visitor categories considered, while the number of beach days explains only that of day visitors and residents. The coefficients of these two independent variables do not have the expected sign, thus suggesting that the preferences of beach visitors at Lido di Dante belong to the category of anomalies in the economic theory of demand.

Suggested Citation

  • Silva Marzetti Dall'Aste Brandolini, 2009. "Recreational Demand Functions for Different Categories of Beach Visitor," Tourism Economics, , vol. 15(2), pages 339-365, June.
    • Handle: RePEc:sae:toueco:v:15:y:2009:i:2:p:339-365
    DOI: 10.5367/000000009788254331
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    References listed on IDEAS

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    1. Fernanda Oliveira & Pedro Pintassilgo & Patrícia Pinto & Isabel Mendes & João Albino Silva, 2017. "Segmenting visitors based on willingness to pay for recreational benefits," Tourism Economics, , vol. 23(3), pages 680-691, May.
    2. Baulcomb, Corinne & Böhnke-Henrichs, Anne, 2014. "A Review of the Marine Economic Valuation Literature 1975 – 2011: Classifying Existing Studies by Service Type, Value Type, and Valuation Methodology," Working Papers 190935, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    3. Windle, Jill & Rolfe, John & Pascoe, Sean, 2017. "Assessing recreational benefits as an economic indicator for the Gladstone Harbour Report Card," 2017 Conference (61st), February 7-10, 2017, Brisbane, Australia 258681, Australian Agricultural and Resource Economics Society.

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