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Modelling tourism competitiveness in small Pacific island countries

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  • Nikeel N Kumar
  • Arvind Patel
  • Rup Singh

Abstract

This study models overall and bilateral tourism competitiveness in small Pacific island countries (PICs), namely, Cook Islands, Fiji, Tonga, Samoa and Vanuatu. The pooled mean group approach, which corrects for cross-sectional dependence and non-stationarity, is used for estimation with quarterly data from 2002 to 2019. The findings indicate that for Fiji and Vanuatu, other PICs are competing destinations and that Fiji and Vanuatu face the strongest bilateral competition amongst the selected PICs. Cross-price elasticities are insignificant for Tonga and are generally negative for the Cook Islands and Samoa. Thus, while for Fiji and Vanuatu, the Cook Islands is a competing destination, Fiji and Vanuatu are complementary destinations for the Cook Islands. Therefore, destinations that more closely resemble each other face stronger competition, and the nature and strength of competitive behaviour between two destinations are different for each concerned destination.

Suggested Citation

  • Nikeel N Kumar & Arvind Patel & Rup Singh, 2022. "Modelling tourism competitiveness in small Pacific island countries," Tourism Economics, , vol. 28(3), pages 692-713, May.
    • Handle: RePEc:sae:toueco:v:28:y:2022:i:3:p:692-713
    DOI: 10.1177/13548166211040925
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    References listed on IDEAS

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    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. P. Pashardes & M. Thea Sinclair, 2005. "Special Issue: Tourism Competitiveness Introduction," Tourism Economics, , vol. 11(1), pages 5-10, March.
    3. Vasilis Sarafidis & Donald Robertson, 2009. "On the impact of error cross-sectional dependence in short dynamic panel estimation," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 62-81, March.
    4. Nikeel Kumar & Ronald Ravinesh Kumar, 2020. "Relationship between ICT and international tourism demand: A study of major tourist destinations," Tourism Economics, , vol. 26(6), pages 908-925, September.
    5. Ridderstaat, Jorge & Oduber, Marck & Croes, Robertico & Nijkamp, Peter & Martens, Pim, 2014. "Impacts of seasonal patterns of climate on recurrent fluctuations in tourism demand: Evidence from Aruba," Tourism Management, Elsevier, vol. 41(C), pages 245-256.
    6. 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.
    7. Panayiota Lyssiotou, 2000. "Dynamic analysis of British demand for tourism abroad," Empirical Economics, Springer, vol. 25(3), pages 421-436.
    8. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    9. Shahzad, Syed Jawad Hussain & Shahbaz, Muhammad & Ferrer, Román & Kumar, Ronald Ravinesh, 2017. "Tourism-led growth hypothesis in the top ten tourist destinations: New evidence using the quantile-on-quantile approach," Tourism Management, Elsevier, vol. 60(C), pages 223-232.
    10. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    11. Recep Ulucak & Ali Gökhan Yücel & Salih Çağrı İlkay, 2020. "Dynamics of tourism demand in Turkey: Panel data analysis using gravity model," Tourism Economics, , vol. 26(8), pages 1394-1414, December.
    12. Tarik Dogru & Umit Bulut & Ercan Sirakaya-Turk, 2021. "Modeling tourism demand: Theoretical and empirical considerations for future research," Tourism Economics, , vol. 27(4), pages 874-889, June.
    13. H. Leibenstein, 1950. "Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' Demand," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 64(2), pages 183-207.
    14. Nikeel Kumar & Ronald Ravinesh Kumar & Arvind Patel & Syed Jawad Hussain Shahzad & Peter Josef Stauvermann, 2020. "Modelling inbound international tourism demand in small Pacific Island countries," Applied Economics, Taylor & Francis Journals, vol. 52(10), pages 1031-1047, February.
    15. Dogru, Tarik & Sirakaya-Turk, Ercan & Crouch, Geoffrey I., 2017. "Remodeling international tourism demand: Old theory and new evidence," Tourism Management, Elsevier, vol. 60(C), pages 47-55.
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    1. Kumar, Nikeel Nishkar & Patel, Arvind, 2023. "Nonlinear effect of air travel tourism demand on economic growth in Fiji," Journal of Air Transport Management, Elsevier, vol. 109(C).

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