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Assessing visitor satisfaction with tourism rejuvenation policies: the case of Rimini, Italy

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Abstract

In this paper we assess the appeal of potential interventions on the tourism offer of Rimini, a popular Italian seaside holiday destination, by means of a choice modelling analysis. Tourism can be viewed as a composite good, its overall utility depending on the arrangement of the component characteristics. Our discrete choice experiments incorporate as attributes a number of possible changes to current tourist activities (the subject of public debate), including them in hypothetical alternative holiday packages. The conditional logit analysis indicates that tourists show lesser preference for interventions aimed at protecting the environmental integrity of the beach and greater preference for those, such as the creation of a pedestrianised seafront with late-night opening of amenities and facilities, that are likely to diminish the role of the traditional sea, sun and sand component of the overall holiday experience.

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  • R. Brau & A. E. Scorcu & L. Vici, 2007. "Assessing visitor satisfaction with tourism rejuvenation policies: the case of Rimini, Italy," Working Papers 617, Dipartimento Scienze Economiche, Universita' di Bologna.
    • Handle: RePEc:bol:bodewp:617
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    1. Wiktor Adamowicz & Peter Boxall & Michael Williams & Jordan Louviere, 1998. "Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 64-75.
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    4. Alberini, Anna & Longo, Alberto & Tonin, Stefania & Trombetta, Francesco & Turvani, Margherita, 2005. "The role of liability, regulation and economic incentives in brownfield remediation and redevelopment: evidence from surveys of developers," Regional Science and Urban Economics, Elsevier, vol. 35(4), pages 327-351, July.
    5. Alberini, Anna & Zanatta, Valentina & Rosato, Paolo, 2007. "Combining actual and contingent behavior to estimate the value of sports fishing in the Lagoon of Venice," Ecological Economics, Elsevier, vol. 61(2-3), pages 530-541, March.
    6. Paolo Figini & Massimiliano Castellani & Laura Vici, 2007. "Estimating Tourist Externalities on Residents: A Choice Modeling Approach to the Case of Rimini," Working Papers 2007.76, Fondazione Eni Enrico Mattei.
    7. Adamowicz, Wiktor L. & Boxall, Peter C. & Williams, Michael & Louviere, Jordan, 1995. "Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments versus Contingent Valuation," Staff Paper Series 24126, University of Alberta, Department of Resource Economics and Environmental Sociology.
    8. Richard T. Carson, 2011. "Contingent Valuation," Books, Edward Elgar Publishing, number 2489, December.
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    Cited by:

    1. Kularatne, Thamarasi & Wilson, Clevo & Lee, Boon & Hoang, Viet-Ngu, 2021. "Tourists’ before and after experience valuations: A unique choice experiment with policy implications for the nature-based tourism industry," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 529-543.
    2. M. Pitzalis & I. Sulis & M. Porcu, 2008. "Differences of Cultural Capital among Students in Transition to University. Some First Survey Evidences," Working Paper CRENoS 200805, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    3. G. Marletto, 2007. "Crossing The Alps: Three Transport Policy Options," Working Paper CRENoS 200712, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. Massimiliano Castellani & Pierpaolo Pattitoni & Laura Vici, 2015. "Pricing Visitor Preferences for Temporary Art Exhibitions," Tourism Economics, , vol. 21(1), pages 83-103, February.
    5. Figini, Paolo & Vici, Laura, 2012. "Off-season tourists and the cultural offer of a mass-tourism destination: The case of Rimini," Tourism Management, Elsevier, vol. 33(4), pages 825-839.
    6. Concu, Nanni & Atzeni, Gianfranco, 2012. "Conflicting preferences among tourists and residents," Tourism Management, Elsevier, vol. 33(6), pages 1293-1300.
    7. I. Sulis & M. Porcu, 2008. "Assessing the Effectiveness of a Stochastic Regression Imputation Method for Ordered Categorical Data," Working Paper CRENoS 200804, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

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    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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