IDEAS home Printed from https://ideas.repec.org/a/vrs/crebss/v4y2018i2p86-98n10.html
   My bibliography  Save this article

Online booking for travel and accommodation influenced by economic and digital development level: Position of the Western Balkan countries within Europe

Author

Listed:
  • Žmuk Berislav

    (University of Zagreb, Faculty of Economics and Business, Department of Statistics, Zagreb, Croatia)

  • Mihajlović Iris

    (University of Dubrovnik, Department of Economics and Business Economics, Dubrovnik, Croatia)

Abstract

The expansion of the Internet has radically changed the way in which citizens travel, book and organise travel arrangements. Since innovation and new information technologies have become crucial determinants to encourage competitiveness in the tourism sector in Europe, this article investigates how selected development indicators influence the Percentage of individuals that use Internet for travel and accommodation services. Eurostat data for 34 European, European Union (EU-28) and selected EU candidates, countries for 2017 were analysed. It has been presented that (1) Gross Domestic Product per capita in Purchasing Power Standards; (2) Percentage of population aged 15 to 64, by tertiary education; as well as (3) Percentage of individuals aged 16 to 74, who have basic or above basic overall digital skills, all correlate positively and strongly with the main variable under study. The conducted regression analysis has shown that variable digital skills has the greatest impact on the main variable under the study. The K-mean clustering of countries resulted with four clusters. The Western Balkan countries can be found in a cluster which has in average the lowest values of all four variables in compare to the averages of other three clusters.

Suggested Citation

  • Žmuk Berislav & Mihajlović Iris, 2018. "Online booking for travel and accommodation influenced by economic and digital development level: Position of the Western Balkan countries within Europe," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 4(2), pages 86-98, November.
    • Handle: RePEc:vrs:crebss:v:4:y:2018:i:2:p:86-98:n:10
    DOI: 10.2478/crebss-2018-0016
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/crebss-2018-0016
    Download Restriction: no
    File URL: https://libkey.io/10.2478/crebss-2018-0016?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
    ---><---

    Citations

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


    Cited by:

    1. Agnieszka Malkowska & Maria Urbaniec & Malgorzata Kosala, 2021. "The impact of digital transformation on European countries: insights from a comparative analysis," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(2), pages 325-355, June.
    2. Novkovska Blagica & Palić Irena & Hodžić Sabina, 2018. "Editorial for the Special Issue: “Advances in Statistical Modelling for Economic Policy-Making” in Croatian Review of Economic, Business and Social Statistics," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 4(2), pages 1-4, November.
    3. Novkovska, Blagica & Dumicic, Ksenija, 2019. "Ordering Goods And Services Online In South East European Countries: Comparison By Cluster Analysis," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 10(2), pages 163-173.

    More about this item

    Keywords

    Internet booking for travel and accommodation; k-means clustering; outliers; regression diagnostics; Western Balkan countries;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    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:vrs:crebss:v:4:y:2018:i:2:p:86-98:n:10. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.