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Comparative Analysis of the Accommodation Capacity Evolution in the Black Sea Countries

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  • Dedu Elena Mãdãlina

    () (Academy of Economic Sciences)

Abstract

In recent years, tourism has become the most dynamic item of Black Sea countries' economy that provides new workplaces as well as constant income. This paper aims to analyze the dynamics of accommodation units of the six Black Sea countries in recent years, to compare the development of the material base in each country and make some proposals to improve tourism activity on the Romanian coast of the Black Sea.

Suggested Citation

  • Dedu Elena Mãdãlina, 2012. "Comparative Analysis of the Accommodation Capacity Evolution in the Black Sea Countries," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 684-689, Decembre.
  • Handle: RePEc:ovi:oviste:v:xii:y:2012:i:2:p:684-689
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    File URL: http://stec.univ-ovidius.ro/html/anale/ENG/cuprins%20rezumate/volum2012p2v2.pdf
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    References listed on IDEAS

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    1. Kim, Moon-Koo & Park, Myeong-Cheol & Jeong, Dong-Heon, 2004. "The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services," Telecommunications Policy, Elsevier, vol. 28(2), pages 145-159, March.
    2. Panait, Iulian, 2011. "Stock market diagnosis," MPRA Paper 44247, University Library of Munich, Germany.
    3. K. Coussement & D. Van Den Poel, 2006. "Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/412, Ghent University, Faculty of Economics and Business Administration.
    4. B. Larivière & D. Van Den Poel, 2004. "Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/223, Ghent University, Faculty of Economics and Business Administration.
    5. K. Coussement & D. Van den Poel, 2008. "Churn prediction in subscription services: an application of support vector machines while comparing two parameter-selection techniques," Post-Print hal-00788096, HAL.
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    More about this item

    Keywords

    Black Sea Coast tourism; tourist potential; tourist accommodation.;

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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