IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v10y2004i2p193-206.html

Fiji's Tourism Demand: The ARDL Approach to Cointegration

Author

Listed:
  • Paresh Kumar Narayan

    (Department of Accounting, Finance and Economics, Griffith University, Gold Coast Campus, PMB 50 Gold Coast Mail Centre, Queensland 9276, Australia)

Abstract

This paper examines the short-run and long-run relationships between visitor arrivals in Fiji, real disposable incomes and relative hotel and substitute prices for the period 1970–2000, using cointegration techniques and error correction models. The paper uses a cointegration technique – the bounds testing approach developed within an autoregressive distributed lag (ARDL) framework – that has not previously been used to estimate tourism demand models. The main advantage of the approach is that, apart from providing robust results in small sample sizes, it needs no a priori knowledge about the integration properties of the variables. The long-run results indicate that growth in income in Fiji's main tourist source markets has a positive impact on visitor arrivals while relative hotel and substitute prices have negative impacts on visitor arrivals. The findings are consistent with economic theory and proffer important policy implications.

Suggested Citation

  • Paresh Kumar Narayan, 2004. "Fiji's Tourism Demand: The ARDL Approach to Cointegration," Tourism Economics, , vol. 10(2), pages 193-206, June.
  • Handle: RePEc:sae:toueco:v:10:y:2004:i:2:p:193-206
    DOI: 10.5367/000000004323142425
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5367/000000004323142425
    Download Restriction: no

    File URL: https://libkey.io/10.5367/000000004323142425?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
    ---><---

    References listed on IDEAS

    as
    1. Pesaran, M.H. & Shin, Y., 1995. "An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis," Cambridge Working Papers in Economics 9514, Faculty of Economics, University of Cambridge.
    2. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    3. N. Kulendran, 1996. "Modelling Quarterly Tourist Flows to Australia Using Cointegration Analysis," Tourism Economics, , vol. 2(3), pages 203-222, September.
    4. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    5. 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.
    6. Shin, Yongcheol, 1994. "A Residual-Based Test of the Null of Cointegration Against the Alternative of No Cointegration," Econometric Theory, Cambridge University Press, vol. 10(1), pages 91-115, March.
    7. Kulendran, N. & King, Maxwell L., 1997. "Forecasting international quarterly tourist flows using error-correction and time-series models," International Journal of Forecasting, Elsevier, vol. 13(3), pages 319-327, September.
    8. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    9. Christine Lim, 1997. "An Econometric Classification and Review of International Tourism Demand Models," Tourism Economics, , vol. 3(1), pages 69-81, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chien-Ming Wang & Su-Lan Pan & Alastair M. Morrison & Tsung-Pao Wu, 2022. "The dynamic linkages among outbound tourism, economic growth, and international trade: empirical evidence from China," SN Business & Economics, Springer, vol. 2(11), pages 1-18, November.
    2. Bonham, Carl & Gangnes, Byron & Zhou, Ting, 2009. "Modeling tourism: A fully identified VECM approach," International Journal of Forecasting, Elsevier, vol. 25(3), pages 531-549, July.
    3. Gunter, Ulrich & Önder, Irem, 2015. "Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data," Tourism Management, Elsevier, vol. 46(C), pages 123-135.
    4. Sulaiman, Saidu & Masih, Mansur, 2017. "Is liberalizing finance the game in town for Nigeria ?," MPRA Paper 95569, University Library of Munich, Germany.
    5. Obeng, Samuel Kwabena, 2015. "An empirical analysis of the relationship between minimum wage, investment and economic growth in Ghana," MPRA Paper 65674, University Library of Munich, Germany.
    6. Chan, Tze-Haw & Hooy, Chee Wooi, 2003. "On Volatility Spillovers and Dominant Effects in East Asian: Before and After the 911," MPRA Paper 2032, University Library of Munich, Germany, revised 2006.
    7. Obeng, Samuel Kwabena, . "An Empirical Analysis of the Relationship between Minimum Wage, Investment and Economic Growth in Ghana," African Journal of Economic Review, African Journal of Economic Review, vol. 3(2).
    8. Ansgar Belke & Thorsten Polleit, 2006. "Monetary policy and dividend growth in Germany: long-run structural modelling versus bounds testing approach," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1409-1423.
    9. Mohammad Hashem Pesaran & Yongcheol Shin & Richard J Smith, 1999. "Bounds Testing Approaches to the Analysis of Long Run Relationships," Edinburgh School of Economics Discussion Paper Series 46, Edinburgh School of Economics, University of Edinburgh.
    10. Ansgar Belke & Thorsten Polleit, 2005. "(How) Do Stock Market Returns React to Monetary Policy? - An ARDL Cointegration Analysis for Germany," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 253/2005, Department of Economics, University of Hohenheim, Germany.
    11. Lira SEKANTSI, 2011. "The Impact of Real Exchange Rate Volatility on South African Exports to the United States (U.S.): A Bounds Test Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 8, pages 119-139, December.
    12. S. M. Woahid Murad & Ruhul Salim & Md. Golam Kibria, 2021. "Asymmetric Effects of Economic Policy Uncertainty on the Demand for Money in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 451-470, September.
    13. Abhinandan Kulal & Deepak Kallige Vishwanath & Sanath Kumar Kanthila, 2023. "Dynamic Relationship Between Rupee-Dollar Exchange Rate and Major Economic Indicators," American Journal of Economics and Business Administration, Science Publications, vol. 15(1), pages 18-30, August.
    14. Paresh Kumar Narayan, 2011. "Are shocks to tourism transitory at business cycle horizons?," Applied Economics, Taylor & Francis Journals, vol. 43(16), pages 2071-2077.
    15. Anna Bykhovskaya & Vadim Gorin & Eszter Kiss, 2025. "Largevars: An R Package for Testing Large VARs for the Presence of Cointegration," Papers 2509.06295, arXiv.org.
    16. Parisa Foroutan & Salim Lahmiri, 2024. "Connectedness of cryptocurrency markets to crude oil and gold: an analysis of the effect of COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-23, December.
    17. Zied Akrout & Hamid Bachouch & Salim Moualdi, 2021. "Co-integration between Corruption and Economic Growth through Investment Channels: Empirical Evidence using the ARDL Bound Testing Approach for the Tunisian Case," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 26-33.
    18. Muhammad Shafiullah & Luke Emeka Okafor & Usman Khalid, 2019. "Determinants of international tourism demand: Evidence from Australian states and territories," Tourism Economics, , vol. 25(2), pages 274-296, March.
    19. Seema Wati Narayan & Telisa Falianty & Lutzardo Tobing, 2019. "The Influence of Oil Prices on Indonesia’s Exchange Rate," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(3), pages 303-322, January.
    20. Fedderke, J.W. & Perkins, P. & Luiz, J.M., 2006. "Infrastructural investment in long-run economic growth: South Africa 1875-2001," World Development, Elsevier, vol. 34(6), pages 1037-1059, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:sae:toueco:v:10:y:2004:i:2:p:193-206. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: .

    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.