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Return to tourist destination. Is it reputation, after all?

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  • Francisco Ledesma
  • Manuel Navarro
  • Jorge Perez-Rodriguez

Abstract

In this paper the hypothesis that repeated purchases in the tourism markets could be considered as a consequence of asymmetrical information problems is studied. This hypothesis is analysed with the case study of the island of Tenerife using the estimation of a count data model. It was found that the length of the stay and the information obtained from previous visits and/or relatives and friends might increase the return to a destination suggesting the presence of a reputation mechanism as proposed by Shapiro (1983). The determinants of the willingness to return were also estimated, confirming the main results.

Suggested Citation

  • Francisco Ledesma & Manuel Navarro & Jorge Perez-Rodriguez, 2005. "Return to tourist destination. Is it reputation, after all?," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2055-2065.
  • Handle: RePEc:taf:applec:v:37:y:2005:i:18:p:2055-2065
    DOI: 10.1080/00036840500293474
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    References listed on IDEAS

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    1. Stiglitz, Joseph E., 1989. "Imperfect information in the product market," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.),Handbook of Industrial Organization, edition 1, volume 1, chapter 13, pages 769-847, Elsevier.
    2. Steven Tadelis, 1999. "What's in a Name? Reputation as a Tradeable Asset," American Economic Review, American Economic Association, vol. 89(3), pages 548-563, June.
    3. George J. Mailath & Larry Samuelson, 2001. "Who Wants a Good Reputation?," Review of Economic Studies, Oxford University Press, vol. 68(2), pages 415-441.
    4. A. Colin Cameron & Pravin K. Trivedi, 1986. "Econometric models based on count data. Comparisons and applications of some estimators and tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    5. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    6. Carl Shapiro, 1983. "Premiums for High Quality Products as Returns to Reputations," The Quarterly Journal of Economics, Oxford University Press, vol. 98(4), pages 659-679.
    7. F. J. Ledesma-Rodríguez & M. Navarro-Ibánez & J. V. Pérez-Rodríguez, "undated". "Panel data and tourism demand. The case of Tenerife," Working Papers 99-17, FEDEA.
    8. Klein, Benjamin & Leffler, Keith B, 1981. "The Role of Market Forces in Assuring Contractual Performance," Journal of Political Economy, University of Chicago Press, vol. 89(4), pages 615-641, August.
    9. Gurmu, Shiferaw & Trivedi, Pravin K., 1992. "Overdispersion tests for truncated Poisson regression models," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 347-370.
    10. Eduardo S. Schwartz & Walter N. Torous, 1993. "Mortgage Prepayment and Default Decisions: A Poisson Regression Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 21(4), pages 431-449, December.
    11. Gurmu, Shiferaw, 1991. "Tests for Detecting Overdispersion in the Positive Poisson Regression Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(2), pages 215-222, April.
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    Citations

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    Cited by:

    1. Gómez-Déniz, E. & Pérez-Rodríguez, J.V., 2019. "Modelling bimodality of length of tourist stay," Annals of Tourism Research, Elsevier, vol. 75(C), pages 131-151.
    2. R. Randriamboarison & F. Rasoamanajara & B. Solonandrasana, 2013. "Tourism Return Frequency Demand in Madagascar," Tourism Economics, , vol. 19(4), pages 943-958, August.
    3. Carlos Barros & Vera Barros & Peter Dieke, 2012. "Tourism and Human Development in Mozambique: an analysis for Inhambane province," CEsA Working Papers 100, CEsA - Center for African and Development Studies.
    4. Mukesh Kumar & Sanjeev Prashar & RK Jana, 2019. "Does international tourism spur international trade and output? Evidence from wavelet analysis," Tourism Economics, , vol. 25(1), pages 22-33, February.
    5. Ana Isabel Moniz, 2012. "A Dynamic Analysis of Repeat Visitors," Tourism Economics, , vol. 18(3), pages 505-517, June.
    6. Antónia Correia & Carlos Pestana Barros & António Luís Silvestre, 2007. "Golf Tourism Repeat Choice Behaviour in the Algarve: A Mixed Logit Approach," Tourism Economics, , vol. 13(1), pages 111-127, March.
    7. A. George Assaf & Carlos Pestana Barros & Luiz Pinto Machado, 2013. "Covariates of Repeat Tourism: An Endogenous Switching Poisson Model," Tourism Economics, , vol. 19(3), pages 531-542, June.
    8. V. J. Cano Fernandez & G. Guirao Perez & M. C. Rodriguez Donate & M. E. Romero Rodriguez, 2009. "An analysis of count data models for the study of exclusivity in wine consumption," Applied Economics, Taylor & Francis Journals, vol. 41(12), pages 1563-1574.
    9. Jorge Moll-de-Alba & Lluís Prats & Lluís Coromina, 2016. "The need to adapt to travel expenditure patterns. A study comparing business and leisure tourists in Barcelona," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 253-267, August.
    10. Yang, Zhenshan & Cai, Jianming, 2016. "Do regional factors matter? Determinants of hotel industry performance in China," Tourism Management, Elsevier, vol. 52(C), pages 242-253.
    11. Gómez–Déniz, E. & Pérez–Rodríguez, J.V., 2019. "Modelling distribution of aggregate expenditure on tourism," Economic Modelling, Elsevier, vol. 78(C), pages 293-308.
    12. Joaquín Alegre & Magdalena Cladera, 2010. "Tourist Expenditure and Quality: Why Repeat Tourists Can Spend Less than First-Timers," Tourism Economics, , vol. 16(3), pages 517-533, September.
    13. Jarvis, Diane & Stoeckl, Natalie & Liu, Hong-Bo, 2016. "The impact of economic, social and environmental factors on trip satisfaction and the likelihood of visitors returning," Tourism Management, Elsevier, vol. 52(C), pages 1-18.

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    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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