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The determinants of length of stay and arrivals of tourists in the Croatia: a panel data approach

Author

Listed:
  • Zdravko Šergo

    (Institute of Agriculture and Tourism, Poreč, Croatia)

  • Amorino Poropat

    (Institute of Agriculture and Tourism, Poreč, Croatia)

  • Pavlo Ružić

    (Institute of Agriculture and Tourism, Poreč, Croatia)

Abstract

Purpose – The purpose of this study are (1) to explore the determinants of visitors’ arrivals at a destination from various countries, and the determinants of length of stays in Croatia (2) to examine if there is interaction effect between individual characteristics of origin countries and relative prices on length of stay, and/or various variables that include environment, energy, traffic and distance diversity. Design – The special focus is given to reviewing the theoretical issue of defining length of stays of visitors, i.e. discussing prices as a factor that impact a length of stays as an endogenous variable in tourism modeling. The paper also presents the more complex model of arrivals to the Croatia's resorts that are essential for the understanding of tourism in this country on broader scope. Methodology – The methodology of the research includes the descriptive statistics of time series and cross-sectional units (e.g. countries of origin), analysis of the existing data that are included in panel regression modeling, rigorous statistic diagnostics performed with an intention to choose the robust estimator. Approach – Given the importance of tourism sector for Croatia, this paper investigates the factors affecting the length of stay and arrivals of tourist visitors in Croatia using panel data from twenty-one countries, since 1996 to 2010. Findings – The main variables as the determinants of international arrivals in Croatia as a destination are: overcrowding and congestion of destination, attraction and environmental status and spatial distance between the capital cities. From modeling of the average duration of holiday deduced is inflation as a predictor but with insignificant value. Originality – The originality of this paper consists on the fact that it refers to empirical testing of a speculative area of research, still yet, as modeling of tourism demand often is; by this research touched is a variety of factors (state of natural attractiveness, pollution and energy intensively, prices and geographical distances) that influence tourism demand of Croatia.

Suggested Citation

  • Zdravko Šergo & Amorino Poropat & Pavlo Ružić, 2014. "The determinants of length of stay and arrivals of tourists in the Croatia: a panel data approach," Tourism and Hospitality Industry section8-4, University of Rijeka, Faculty of Tourism and Hospitality Management.
    • Handle: RePEc:tho:iscthi:section8-4
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    References listed on IDEAS

    as
    1. Yuzo Honda, 1985. "Testing the Error Components Model with Non-Normal Disturbances," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(4), pages 681-690.
    2. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    3. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    5. Arielle Beyaert & Maximo Camacho, 2008. "TAR Panel Unit Root Tests and Real Convergence," Review of Development Economics, Wiley Blackwell, vol. 12(3), pages 668-681, August.
    6. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    7. repec:bla:pacecr:v:8:y:2003:i:3:p:289-303 is not listed on IDEAS
    8. Andrea Mervar & James E. Payne, 2007. "Analysis of Foreign Tourism Demand for Croatian Destinations: Long-Run Elasticity Estimates," Tourism Economics, , vol. 13(3), pages 407-420, September.
    9. Gillen, David & Lall, Ashish, 2004. "Competitive advantage of low-cost carriers: some implications for airports," Journal of Air Transport Management, Elsevier, vol. 10(1), pages 41-50.
    10. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    11. Guido Candela & Paolo Figini, 2012. "The Economics of Tourism Destinations," Springer Texts in Business and Economics, in: The Economics of Tourism Destinations, edition 127, chapter 0, pages 73-130, Springer.
    12. Christine Lim & Michael McAleer, 2001. "Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia," Applied Economics, Taylor & Francis Journals, vol. 33(12), pages 1599-1619.
    13. Taylor, Mark P. & Sarno, Lucio, 1998. "The behavior of real exchange rates during the post-Bretton Woods period," Journal of International Economics, Elsevier, vol. 46(2), pages 281-312, December.
    14. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    15. Nuno Carlos LEITÃO, 2010. "Does Trade Help to Explain Tourism Demand? The Case of Portugal," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 3(3(544)), pages 63-74, March.
    16. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    17. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    18. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    19. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    20. Yair Eilat & Liran Einav, 2004. "Determinants of international tourism: a three-dimensional panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 36(12), pages 1315-1327.
    21. Teresa Garin-Munoz & Teodosio Perez Amaral, 2000. "An econometric model for international tourism flows to Spain," Applied Economics Letters, Taylor & Francis Journals, vol. 7(8), pages 525-529.
    22. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    23. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    24. Forsyth, Peter & Dwyer, Larry, 2010. "Exchange rate changes and the cost competitiveness of international airlines: The Aviation Trade Weighted Index," Research in Transportation Economics, Elsevier, vol. 26(1), pages 12-17.
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    More about this item

    Keywords

    length of stays; international demand; tourist arrivals cross-sectional model; panel data model; Croatia;
    All these keywords.

    JEL classification:

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

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