IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v15y2009i3p531-546.html
   My bibliography  Save this article

Participation in Tourism Consumption and the Intensity of Participation: An Analysis of Their Socio-Demographic and Economic Determinants

Author

Listed:
  • Joaquín Alegre
  • Sara Mateo
  • Llorenç Pou

Abstract

Unlike other goods, tourism services are not consumed by a significant percentage of households. Thus, knowledge of aggregate tourism demand hinges on the determinants of corner solutions at the microeconomic level. Furthermore, with regard to those households that consume tourism, their travel frequency patterns in the year need not be the same. This paper uses household microdata to examine the socio-demographic and economic determinants of both decisions: holiday participation and the intensity of participation in the year conditional on participation. The results highlight the relevance in tourism demand analyses of distinguishing between both decisions. In fact, many socio-demographic variables show only explanatory power for the participation decision. The two key factors in explaining both decisions are the previous year's tourism participation pattern, suggesting evidence of habit persistence, and income, although with an income elasticity below unity.

Suggested Citation

  • Joaquín Alegre & Sara Mateo & Llorenç Pou, 2009. "Participation in Tourism Consumption and the Intensity of Participation: An Analysis of Their Socio-Demographic and Economic Determinants," Tourism Economics, , vol. 15(3), pages 531-546, September.
    • Handle: RePEc:sae:toueco:v:15:y:2009:i:3:p:531-546
    DOI: 10.5367/000000009789036521
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5367/000000009789036521
    Download Restriction: no
    File URL: https://libkey.io/10.5367/000000009789036521?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hultkrantz,L., 1995. "On Determinants of Swedish Recreational Domestic and Outbound Travel,1989-1993," Papers 7, Uppsala - Working Paper Series.
    2. Fumio Hayashi, 1985. "The Permanent Income Hypothesis and Consumption Durability: Analysis Based on Japanese Panel Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(4), pages 1083-1113.
    3. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    4. Timo Toivonen, 2004. "Changes in the Propensity to Take Holiday Trips Abroad in EU Countries between 1985 and 1997," Tourism Economics, , vol. 10(4), pages 403-417, December.
    5. Aliza Fleischer & Edward Seiler, 2002. "Determinants of vacation travel among Israeli seniors: theory and evidence," Applied Economics, Taylor & Francis Journals, vol. 34(4), pages 421-430.
    6. Ozuna, Teofilo, Jr & Gomez, Irma Adriana, 1995. "Specification and Testing of Count Data Recreation Demand Functions," Empirical Economics, Springer, vol. 20(3), pages 543-550.
    7. Timothy C. Haab & Kenneth E. McConnell, 1996. "Count Data Models and the Problem of Zeros in Recreation Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 89-102.
    8. Deaton, Angus, 1992. "Understanding Consumption," OUP Catalogue, Oxford University Press, number 9780198288244, Decembrie.
    9. Thanos Mergoupis & Max Steuer, 2003. "Holiday taking and income," Applied Economics, Taylor & Francis Journals, vol. 35(3), pages 269-284.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaeseok Lee & Jooa Baek, 2021. "Sustainable Growth of Social Tourism: A Growth Mixture Modeling Approach Using Heterogeneous Travel Frequency Trajectories," IJERPH, MDPI, vol. 18(10), pages 1-17, May.
    2. Chuanyong Zhang & Guoliang Feng, 2018. "More wealth, less leisure? Effect of housing wealth on tourism expenditure in China," Tourism Economics, , vol. 24(5), pages 526-540, August.
    3. Susana Borrego-Domínguez & Fernando Isla-Castillo & Mercedes Rodríguez-Fernández, 2022. "Determinants of Tourism Demand in Spain: A European Perspective from 2000–2020," Economies, MDPI, vol. 10(11), pages 1-21, November.
    4. Brida, Juan Gabriel & Scuderi, Raffaele, 2012. "Determinants of tourist expenditure: a review of microeconometric models," MPRA Paper 38468, University Library of Munich, Germany.
    5. Nguyen The Hien & Yen-Lun Su & Raksmey Sann & Le Thi Phuong Thanh, 2022. "Analysis of Online Customer Complaint Behavior in Vietnam’s Hotel Industry," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    6. Boto-García, David & Baños-Pino, José Francisco, 2022. "Social influence and bandwagon effects in tourism travel," Annals of Tourism Research, Elsevier, vol. 93(C).
    7. Bernini, Cristina & Cracolici, Maria Francesca, 2015. "Demographic change, tourism expenditure and life cycle behaviour," Tourism Management, Elsevier, vol. 47(C), pages 191-205.
    8. Kalakou, Sofia & Moura, Filipe, 2021. "Analyzing passenger behavior in airport terminals based on activity preferences," Journal of Air Transport Management, Elsevier, vol. 96(C).
    9. Cristina Bernini & Maria Francesca Cracolici, 2014. "Is Participation in Tourism Market an Opportunity for Everyone? Some Evidence from Italy," Working Papers 2014.17, Fondazione Eni Enrico Mattei.
    10. Alegre, Joaquín & Mateo, Sara & Pou, Llorenç, 2013. "Tourism participation and expenditure by Spanish households: The effects of the economic crisis and unemployment," Tourism Management, Elsevier, vol. 39(C), pages 37-49.
    11. Anja Lazar & Janja Gabruc, 2017. "The Transfer of Travel Habits from Childhood to Adulthood," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 10(2), pages 185-188.
    12. Losada, Nieves & Alén, Elisa & Domínguez, Trinidad & Nicolau, Juan Luis, 2016. "Travel frequency of seniors tourists," Tourism Management, Elsevier, vol. 53(C), pages 88-95.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joaquín Alegre & Llorenç Pou, 2006. "An Analysis of the Microeconomic Determinants of Travel Frequency," DEA Working Papers 18, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    2. Alegre, Joaquín & Mateo, Sara & Pou, Llorenç, 2010. "An analysis of households' appraisal of their budget constraints for potential participation in tourism," Tourism Management, Elsevier, vol. 31(1), pages 45-56.
    3. Sarker, Rakhal & Surry, Yves R., 2003. "The Fast Decay Process In Recreational Demand Activities And The Use Of Alternative Count Data Models," Working Papers 34147, University of Guelph, Department of Food, Agricultural and Resource Economics.
    4. Alegre, Joaquín & Mateo, Sara & Pou, Llorenç, 2013. "Tourism participation and expenditure by Spanish households: The effects of the economic crisis and unemployment," Tourism Management, Elsevier, vol. 39(C), pages 37-49.
    5. Horioka, Charles Yuji, 2020. "Does the Selfish Life-Cycle Model Apply in the Case of Japan?," AGI Working Paper Series 2020-04, Asian Growth Research Institute.
    6. Ziliak, James P., 1998. "Does the choice of consumption measure matter? An application to the permanent-income hypothesis," Journal of Monetary Economics, Elsevier, vol. 41(1), pages 201-216, February.
    7. Charles Yuji Horioka, 2021. "Is the selfish life-cycle model more applicable in Japan and, if so, why? A literature survey," Review of Economics of the Household, Springer, vol. 19(1), pages 157-187, March.
    8. Scrogin, David & Berrens, Robert P. & Bohara, Alok K., 2000. "Policy Changes And The Demand For Lottery-Rationed Big Game Hunting Licenses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-19, December.
    9. Moritz Berger & Gerhard Tutz, 2021. "Transition models for count data: a flexible alternative to fixed distribution models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1259-1283, October.
    10. Katsunori Watanabe & Takayuki Watanabe & Tsutomu Watanabe, 1999. "Tax Policy and Consumer Spending: Evidence from Japanese Fiscal Experiments," NBER Working Papers 7252, National Bureau of Economic Research, Inc.
    11. K. Akankwasa & G. F. Ortmann & E. Wale & W. K. Tushemereirwe, 2016. "Early-Stage Adoption of Improved Banana “Matooke” Hybrids in Uganda: A Count Data Analysis Based on Farmers’ Perceptions," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-26, February.
    12. Kevin Z. Chen & Karl D. Meilke & Calum Turvey, 1999. "Income risk and farm consumption behavior," Agricultural Economics, International Association of Agricultural Economists, vol. 20(2), pages 173-183, March.
    13. Bayoumi, Tamim & Masson, Paul R & Samiei, Hossein, 1996. "International Evidence on the Determinants of Saving," CEPR Discussion Papers 1368, C.E.P.R. Discussion Papers.
    14. Meisner, Craig & Wang, Hua & Laplante, Benoit, 2006. "Welfare measurement bias in household and on-site surveying of water-based recreation : an application to Lake Sevan, Armenia," Policy Research Working Paper Series 3932, The World Bank.
    15. Silvia Ferrini & Carlo Fezzi, 2012. "Generalized Additive Models for Nonmarket Valuation via Revealed or Stated Preference Methods," Land Economics, University of Wisconsin Press, vol. 88(4), pages 782-802.
    16. Collado, M. Dolores, 1995. "Separability and aggregate shocks in the life-cycle model of consumption: evidence from Spain," UC3M Working papers. Economics 3950, Universidad Carlos III de Madrid. Departamento de Economía.
    17. Garcia, Serge & Jacob, Julien, 2010. "La valeur récréative de la forêt en France : une approche par les coûts de déplacement," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 91(1).
    18. Wu, Lingling & Zhang, Junyi & Chikaraishi, Makoto, 2013. "Representing the influence of multiple social interactions on monthly tourism participation behavior," Tourism Management, Elsevier, vol. 36(C), pages 480-489.
    19. Enrichetta Ravina, 2005. "Keeping Up with the Joneses: Evidence from Micro Data," 2005 Meeting Papers 557, Society for Economic Dynamics.
    20. Potter, Tristan, 2022. "Down the Rabbit Hole: Habit-formation in internet use among unemployed workers," Economics Letters, Elsevier, vol. 215(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:toueco:v:15:y:2009:i:3:p:531-546. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.