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Classification Of Tourist Season In Costal Tourism

Author

Listed:
  • Corluka, Goran

    (Department of Professional studies, University of Split, Croatia)

  • Mikinac, Kresimir

    (Faculty of tourism and hospitality management, Opatija, University of Rijeka, Croatia)

  • Milenkovska, Angela

    (University of Tourism and Management in Skopje, Macedonia.)

Abstract

Tourism seasonality is the major characteristic of tourism industry, a well know but less understood phenomenon. Seasonal fluctuations of tourism demand are implying numerous negative implications affecting tourist destination, tourist operators and tourist demand. Almost every tourist destination is facing seasonality,but the most pronounced seasonal concentration of tourist activities have costal destinations which attract tourist demand motivated primary by the 3S – sun, sand and sea concept.Seasonality in business operation is the most challenging in tourist companies with a large share of fixed capacity, as the hotel accommodating sector. Former research of causes of seasonality, implications of seasonality and potential strategies to combat seasonality had methodological flaw. Tourism product, as a product with seasonal characteristic, requires analysis of performance by season. The objective of this paper is to classify tourist season in coastal tourist destinations regarding hotel occupancy rates. This is the first attempt to empirically classify tourist season. Sample surveys are 218 hotels located in Dalmatia, Croatia. Cluster analysis on hotel occupancy rate date was conducted, whereby the statistical significance between seasons were testes by Friedman test and the statistical significance between destinations were tested by F-test and ANOVA. Further, factor analysis was conducted to test the achieved results. Regarding the research result tourist season can be divided into three seasons: low, medium and high. Low season as the longest consisting of five months: January, February, March, November and December, middle season as the shortest consisting of three months: April, May and October and high season consisting of four months: June, July, August and September. Research findings are a significant contribution to tourism theory and practice.

Suggested Citation

  • Corluka, Goran & Mikinac, Kresimir & Milenkovska, Angela, 2016. "Classification Of Tourist Season In Costal Tourism," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 7(1), pages 71-83.
    • Handle: RePEc:ris:utmsje:0172
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    References listed on IDEAS

    as
    1. Tom Baum, 1999. "Seasonality in Tourism: Understanding the Challenges," Tourism Economics, , vol. 5(1), pages 5-8, March.
    2. Serena Volo, 2010. "Research Note: Seasonality in Sicilian Tourism Demand – An Exploratory Study," Tourism Economics, , vol. 16(4), pages 1073-1080, December.
    3. Cellini, Roberto & Rizzo, Giuseppe, 2010. "Private and public incentive to reduce seasonality: a simple theoretical model," MPRA Paper 23588, University Library of Munich, Germany.
    4. Douglas Jeffrey & Robin R. D. Barden, 1999. "An Analysis of the Nature, Causes and Marketing Implications of Seasonality in the Occupancy Performance of English Hotels," Tourism Economics, , vol. 5(1), pages 69-91, March.
    5. Javier Capó Parrilla & Antoni Riera Font & Jaume Rosselló Nadal, 2006. "The Accommodation Determinants of Seasonal Patterns," CRE Working Papers (Documents de treball del CRE) 2006/01, Centre de Recerca Econòmica (UIB ·"Sa Nostra"), revised Feb 2006.
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    Cited by:

    1. Dimitrios TSIOTAS & Thomas KRABOKOUKIS & Serafeim POLYZOS, 2020. "Detecting Interregional Patterns In Tourism Seasonality Of Greece: A Principal Components Analysis Approach," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 91-112, June.
    2. Mariia Iamkovaia & Manuel Arcila & Filomena Cardoso Martins & Alfredo Izquierdo, 2019. "Sustainable Development of Coastal Food Services," Sustainability, MDPI, vol. 11(13), pages 1-16, July.
    3. Thomas Krabokoukis & Serafeim Polyzos, 2024. "Analyzing the Tourism Seasonality for the Mediterranean Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 8053-8076, June.

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    More about this item

    Keywords

    tourism seasonality; classification of tourist season; cluster analysis; factor analysis.;
    All these keywords.

    JEL classification:

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

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