IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/37444.html
   My bibliography  Save this paper

The determinants of intra-industry trade in the tourism services

Author

Listed:
  • Leitão, Nuno Carlos

Abstract

Purpose- This manuscript examines the determinants of intra-industry trade (IIT) in the tourism services by Portugal. The trade in this sector between Portugal and 17 countries was examined between 2002 and 2009. Design/methodology/approach- The paper formulates theoretical hypothesis that may explain the intra-industry trade in the tourism services. These hypotheses are tested using a dynamic panel data analysis. Findings- The result show that intra-industry trade occurs more frequently among countries that are similar in terms of factor endowments. The economic dimension and border confirm the positive impact in IIT. Our results also show that intra-industry trade increases if transportation costs decrease. Originality of the research-This article confirms relevant theoretical hypotheses on the causes of intra-industry trade. The results obtained with the Arellano and Bond GMM system estimator suggest that the building of dynamic theoretical models will be of interest to academic researchers in tourism services.

Suggested Citation

  • Leitão, Nuno Carlos, 2012. "The determinants of intra-industry trade in the tourism services," MPRA Paper 37444, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:37444
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/37444/1/MPRA_paper_37444.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Nuno Carlos Leitão & Horácio C. Faustino & Yushi Yoshida, 2010. "Fragmentation, Vertical Intra-Industry Trade, and Automobile components," Economics Bulletin, AccessEcon, vol. 30(2), pages 1006-1015.
    3. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    5. Krugman, Paul R., 1979. "Increasing returns, monopolistic competition, and international trade," Journal of International Economics, Elsevier, vol. 9(4), pages 469-479, November.
    6. Rudolf Loertscher & Frank Wolter, 1980. "Determinants of intra-industry trade: Among countries and across industries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 116(2), pages 280-293, June.
    7. David Hummels & James Levinsohn, 1995. "Monopolistic Competition and International Trade: Reconsidering the Evidence," The Quarterly Journal of Economics, Oxford University Press, vol. 110(3), pages 799-836.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    9. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Intra-industry trade; tourism services; dynamic panel data; Portugal;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L70 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:37444. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.