IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2019-06-23.html
   My bibliography  Save this article

Oil Price and Fijian Tourism Cycle: A Markov Regime-switching Model

Author

Listed:
  • Ann-Ni Soh

    (Faculty of Economics and Business, Universiti Malaysia Sarawak, Kota Samarahan 94300, Malaysia.)

  • Chin-Hong Puah

    (Faculty of Economics and Business, Universiti Malaysia Sarawak, Kota Samarahan 94300, Malaysia.)

  • M. Affendy Arip

    (Faculty of Economics and Business, Universiti Malaysia Sarawak, Kota Samarahan 94300, Malaysia.)

  • Tai-Hock Kuek

    (Faculty of Economics and Business, Universiti Malaysia Sarawak, Kota Samarahan 94300, Malaysia.)

Abstract

The fluctuation of oil price tends to have adverse effect on the tourism industry of a nation. This paper investigates the dynamic changes of the inbound tourism market for Fiji and the driving forces of the Fijian tourism cycle. Aset of fundamental determinants of tourism demand including international crude oil price has been utilized to predict the Fijian tourism cycle for the period of 2000-2017. The Markov regime-switching model identifies two distinct phases of the Fijian tourism cycle which are an expansion and a recession period. The filtered and smoothed probabilities signalled the Fijian tourism development significantly with the transition probabilities supported. The adequate dating evaluation can offer essential information for policymakers, tourism industry players and even the community in decision making for Fijian tourism to enhance the nation s development.

Suggested Citation

  • Ann-Ni Soh & Chin-Hong Puah & M. Affendy Arip & Tai-Hock Kuek, 2019. "Oil Price and Fijian Tourism Cycle: A Markov Regime-switching Model," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 188-192.
  • Handle: RePEc:eco:journ2:2019-06-23
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/8087/4649
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/8087/4649
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    2. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    3. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    4. Cheng-Yih Hong & Chung-Huang Huang & Jian-Fa Li, 2017. "Factor Decomposition of Responsiveness of the Domestic Price to Crude Oil Price," International Journal of Energy Economics and Policy, Econjournals, vol. 7(6), pages 136-140.
    5. Özcan Ceyhun Can & Uçak Harun, 2016. "Outbound Tourism Demand of Turkey: A Markov Switching Vector Autoregressive Approach," Czech Journal of Tourism, Sciendo, vol. 5(2), pages 59-72, December.
    6. Stephen Pratt, 2014. "A General Equilibrium Analysis of the Economic Impact of a Devaluation on Tourism: The Case of Fiji," Tourism Economics, , vol. 20(2), pages 389-405, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ann-Ni Soh & Chin-Hong Puah & Meng-Chang Jong, 2022. "Macroeconomic Determinants of Tourism Demand in Malaysia: A Markov Switching Regression Approach," Business Management and Strategy, Macrothink Institute, vol. 13(2), pages 95-107, December.
    2. Woraphon Yamaka & Xuefeng Zhang & Paravee Maneejuk, 2021. "Analyzing the Influence of Transportations on Chinese Inbound Tourism: Markov Switching Penalized Regression Approaches," Mathematics, MDPI, vol. 9(5), pages 1-23, March.
    3. Jong, Meng-Chang & Soh, Ann-Ni, 2021. "Responsible Recovery from COVID-19: An Empirical Overview of Tourism Industry," MPRA Paper 107661, University Library of Munich, Germany.
    4. Ann-Ni Soh & Chin-Hong Puah & M. Affendy Arip, 2019. "Forecasting Tourism Demand with Composite Indicator Approach for Fiji," Business and Economic Research, Macrothink Institute, vol. 9(4), pages 12-22, December.
    5. Jong, Meng-Chang, 2020. "Empirical Review on Tourism Demand and COVID-19," MPRA Paper 103919, University Library of Munich, Germany.
    6. Soh, Ann-Ni, 2020. "A Review on the Leading Indicator Approach towards Economic Forecasting," MPRA Paper 103854, University Library of Munich, Germany.

    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. Sarah Arndt & Zeno Enders, 2023. "The Transmission of Supply Shocks in Different Inflation Regimes," CESifo Working Paper Series 10839, CESifo.
    2. Michael Artis, 1999. "The UK and EMU," Palgrave Macmillan Books, in: David Cobham & George Zis (ed.), From EMS to EMU: 1979 to 1999 and Beyond, chapter 7, pages 161-180, Palgrave Macmillan.
    3. Xiang Lin & Martin Thomas Falk, 2022. "Nordic stock market performance of the travel and leisure industry during the first wave of Covid-19 pandemic," Tourism Economics, , vol. 28(5), pages 1240-1257, August.
    4. Peter McAdam, 2007. "USA, Japan and the Euro Area: Comparing Business-Cycle Features," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 135-156.
    5. Cavicchioli, Maddalena, 2024. "A matrix unified framework for deriving various impulse responses in Markov switching VAR: Evidence from oil and gas markets," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    6. Franck Sédillot, 2001. "La pente des taux contient-elle de l'information sur l'activité économique future ?," Economie & Prévision, La Documentation Française, vol. 147(1), pages 141-157.
    7. Engel, Charles, 1994. "Can the Markov switching model forecast exchange rates?," Journal of International Economics, Elsevier, vol. 36(1-2), pages 151-165, February.
    8. Theobald, Thomas, 2013. "Markov Switching with Endogenous Number of Regimes and Leading Indicators in a Real-Time Business Cycle Forecast," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79911, Verein für Socialpolitik / German Economic Association.
    9. Timothy Besley & Hannes Mueller, 2012. "Estimating the Peace Dividend: The Impact of Violence on House Prices in Northern Ireland," American Economic Review, American Economic Association, vol. 102(2), pages 810-833, April.
    10. Yang, Qing-Qing & Ching, Wai-Ki & Gu, Jia-Wen & Siu, Tak-Kuen, 2018. "Market-making strategy with asymmetric information and regime-switching," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 408-433.
    11. Martha Misas & María Teresa Ramírez, 2005. "Depressions In The Colombian Economic Growth During The Xx Century:A Markov Switching Regime Model," Borradores de Economia 2274, Banco de la Republica.
    12. Gaia Garino & Lucio Sarno, 2004. "Speculative Bubbles in U.K. House Prices: Some New Evidence," Southern Economic Journal, John Wiley & Sons, vol. 70(4), pages 777-795, April.
    13. Dmitry Kulikov, 2012. "Testing for Rational Speculative Bubbles on the Estonian Stock Market," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 4(1).
    14. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    15. Masaru Chiba, 2023. "Robust and efficient specification tests in Markov-switching autoregressive models," Statistical Inference for Stochastic Processes, Springer, vol. 26(1), pages 99-137, April.
    16. Marcel Fratzscher, 2003. "On currency crises and contagion," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(2), pages 109-129.
    17. Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004. "An econometric model of serial correlation and illiquidity in hedge fund returns," Journal of Financial Economics, Elsevier, vol. 74(3), pages 529-609, December.
    18. Sylvia Frühwirth‐Schnatter & Sylvia Kaufmann, 2006. "How do changes in monetary policy affect bank lending? An analysis of Austrian bank data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 275-305, April.
    19. M Boschi & S d'Addona & A Goenka, 2012. "Testing external habits in an asset pricing model," CAMA Working Papers 2012-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    20. Allan P. Layton, 1994. "Further on the Nature of the Australian Business Cycle," The Economic Record, The Economic Society of Australia, vol. 70(208), pages 12-18, March.

    More about this item

    Keywords

    Markov-switching model; Fijian tourism cycle; Oil price fluctuation; Forecasting;
    All these keywords.

    JEL classification:

    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:eco:journ2:2019-06-23. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.