IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa98p152.html
   My bibliography  Save this paper

An econometric approach to urban tourism demand: The case of Barcelona

Author

Listed:
  • M?Encarnacion Andre
  • Manuel Artis

Abstract

In the last years, tourism has experienced deep transformations, so searching new alternatives is an absolute necessity. Urban space has become a very interesting option, as its enormous range of possibilities may respond to many demand patterns changes. On the other hand, cities are going through a crisis period, because of the drift of industry and residents to new areas. In this context, tourism has become one of the main activities to promote. This paper is concerned with the study of urban tourism, focused on demand analysis, as a way to economic growth in cities and regions in general. A previous review of urban tourism features and strategies is presented, applied to the Barcelona case, one of the most paradigmatic examples of tourism growth during the last decade. Information has been provided by Turisme de Barcelona (the local tourism agency), from a survey adressed to hotel customers. After that, an analysis of the demand patterns in Barcelona is carried out using descriptive statistics, multivariate analysis techniques and qualitative response econometric modelling (logistic regression and others). The first part of the study analyses the repetition factor or the fidelity of visitors in Barcelona, with the aim to discriminate the two main tourist segments: return visits (consolidated tourism) and first visits (attracted tourism). Therefore, the probability of a return visit is estimated, on the basis of several variables including individual ones. Conclusions prove that the repeated visits in Barcelona are closely linked to the notion of captivity. So the presence of two very different demand segments is demonstrated. Both segments present specific advantages for a long term sustainable and well-balanced development, introducing some feed-back effects. Nevertheless, some times they are rivals within the tourist policy. Since the main goal of the paper is to contribute to correct tourism planning, the second part of the analysis introduces an approach to captive and new clientele behaviour, focusing on several aspects such as the purchase, activities, etc., with the aim to compare both segments demand patterns.

Suggested Citation

  • M?Encarnacion Andre & Manuel Artis, 1998. "An econometric approach to urban tourism demand: The case of Barcelona," ERSA conference papers ersa98p152, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa98p152
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa98/papers/152.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    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. Fabio Naselli & Cinzia Barbara Bellone & Mirjana Pali & Fabio Andreassi, 2022. "Tirana as an Open Lab: A Pilot for an Integrated Research Tourism Vision Pre-/Post-Pandemic," International Journal of E-Planning Research (IJEPR), IGI Global, vol. 11(1), pages 1-18, January.

    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. Arturo Estrella & Anthony P. Rodrigues, 1998. "Consistent covariance matrix estimation in probit models with autocorrelated errors," Staff Reports 39, Federal Reserve Bank of New York.
    2. T.R.L. Fry & R.D. Brooks & Br. Comley & J. Zhang, 1993. "Economic Motivations for Limited Dependent and Qualitative Variable Models," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 193-205, June.
    3. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    4. Maria Iacovou, 2002. "Class Size in the Early Years: Is Smaller Really Better?," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 261-290.
    5. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press, vol. 19(4), pages 1109-1139, August.
    6. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
    7. Y. Saks, 2016. "Socio-economic transitions on the labour market : a European benchmarking exercise," Economic Review, National Bank of Belgium, issue iii, pages 41-58, December.
    8. Kodila-Tedika, Oasis & Khalifa, Sherif, 2022. "State History and State Fragility in Sub-Saharan Africa," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(4), pages 39-53, December.
    9. Garcia, Philip & Hudson, Michael A. & Waller, Mark L., 1988. "The Pricing Efficiency of Agricultural Futures Markets: An Analysis of Previous Research Results," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 20(1), pages 119-130, July.
    10. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    11. Ashok Mishra & Barry Goodwin, 2006. "Revenue insurance purchase decisions of farmers," Applied Economics, Taylor & Francis Journals, vol. 38(2), pages 149-159.
    12. Hu, Michael Y. & Chen, Haiyang, 1996. "An empirical analysis of factors explaining foreign joint venture performance in China," Journal of Business Research, Elsevier, vol. 35(2), pages 165-173, February.
    13. Bagi, Faqir Singh, 1983. "A Logit Model Of Farmers' Decisions About Credit," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 15(2), pages 1-7, December.
    14. Monika Bütler, 2002. "The Political Feasibility of Increasing the Retirement Age: Lessons from a Ballot on the Female Retirement Age," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 9(4), pages 349-365, August.
    15. Per Botolf Maurseth, 2005. "Lovely but dangerous: The impact of patent citations on patent renewal," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 351-374.
    16. Fiorella Kostoris Padoa Schioppa & Claudio Lupi, 2002. "Family Income and Wealth, Youth Unemployment and Active Labour Market Policies," International Review of Applied Economics, Taylor & Francis Journals, vol. 16(4), pages 407-416.
    17. Michael LaCour-Little & Michael Marschoun & Clark L. Maxam, 2002. "Improving Parametric Mortgage Prepayment Models with Non-parametric Kernel Regression," Journal of Real Estate Research, American Real Estate Society, vol. 24(3), pages 299-328.
    18. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    19. Roberto Basile & Anna Giunta & Jeffrey Nugent, 2003. "Foreign Expansion by Italian Manufacturing Firms in the Nineties: an Ordered Probit Analysis," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 23(1), pages 1-24, August.
    20. Wenyuan Liu & Ting Ren, 2021. "Family ties and employment behavior: The role of financial intermediaries," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 48-75, February.

    More about this item

    Statistics

    Access and download statistics

    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:wiw:wiwrsa:ersa98p152. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.