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Modelling Monthly International Tourist Arrivals and Its Risk in Nepal

Author

Listed:
  • Hari Sharma Neupane

    (Department of Agriculture, Government of Nepal.)

  • Chandra Lal Shrestha

    (Department of Rural Development, Tribhuvan University, Nepal)

  • Tara Prasad Upadhyaya

Abstract

The volume of international tourist arrivals is the prime concern for both the tourism entrepreneurs and policy makers, as the arrivals is directly associated with foreign exchange earnings or export benefits, and tourism induced economic activities. The overall average annual growth of international tourist arrivals in the country over the last 40 years is about 6.65 percent. The mean contribution of tourism sector as a percentage of GDP was 2.67 percent during the last 35 years. This paper explores the risk associated in the Nepalese tourism industry taking account of monthly international tourist arrivals. The symmetric and asymmetric conditional mean and volatility models, GARCH, GARCH-GJR and EGARCH with exogenous ARMA terms were applied for data analysis. The empirical results showed that the long run risk or volatility is persistence in monthly international tourist arrivals and estimated coefficients are statistically significant. The volatility can be inferred as risk or uncertainty as sociated with international tourist arrivals in Nepalese tourism industry. Therefore, this empirical study envisages sufficient room for intervening or amending the tourism policy to better attract international visitors and promote tourism as a business.

Suggested Citation

  • Hari Sharma Neupane & Chandra Lal Shrestha & Tara Prasad Upadhyaya, 2012. "Modelling Monthly International Tourist Arrivals and Its Risk in Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 24(1), pages 28-47, April.
    • Handle: RePEc:nrb:journl:v:24:y:2012:i:1:p:3
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    References listed on IDEAS

    as
    1. Ling, Shiqing & McAleer, Michael, 2003. "Asymptotic Theory For A Vector Arma-Garch Model," Econometric Theory, Cambridge University Press, vol. 19(2), pages 280-310, April.
    2. John M. Piotrowski & Mr. Rabah Arezki & Reda Cherif, 2009. "Tourism Specialization and Economic Development: Evidence from the UNESCO World Heritage List," IMF Working Papers 2009/176, International Monetary Fund.
    3. Chang, Chia-Lin & Sriboonchitta, Songsak & Wiboonpongse, Aree, 2009. "Modelling and forecasting tourism from East Asia to Thailand under temporal and spatial aggregation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1730-1744.
    4. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    5. Ling, Shiqing & McAleer, Michael, 2002. "Stationarity and the existence of moments of a family of GARCH processes," Journal of Econometrics, Elsevier, vol. 106(1), pages 109-117, January.
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August.
    8. Shoorabeer Paudyal Ph. D., 2003. "Applicability of Smeral's Model in Explaining Tourism Share of Member States in SAARC Region," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 15, pages 191-202, April.
    9. Christine Lim & Michael McAleer, 2000. "A seasonal analysis of Asian tourist arrivals to Australia," Applied Economics, Taylor & Francis Journals, vol. 32(4), pages 499-509.
    10. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
    11. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.
    12. Lim, Christine & McAleer, Michael, 1999. "A seasonal analysis of Malaysian tourist arrivals to Australia," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 573-583.
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    More about this item

    Keywords

    International tourist arrivals; Growth; Conditional Mean and Volatility;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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