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Estimating The Tourism Potential In Namibia

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  • Eita, Joel Hinaunye
  • Jordaan, Andre C.

Abstract

This paper investigates the determinants of tourism in Namibia for the period 1996 to 2005. The results indicate that an increase in trading partners’ income, depreciation of the exchange rate, improvement in Namibia’s infrastructure, sharing a border with Namibia are associated with an increase in tourist arrivals. The results show that there is unexploited tourism potential from Angola, Austria, Botswana, Germany, South Africa and the United States of America. This suggests that it is important to exploit the tourism potential as this would help to accelerate economic growth and generate the much needed employment.

Suggested Citation

  • Eita, Joel Hinaunye & Jordaan, Andre C., 2007. "Estimating The Tourism Potential In Namibia," MPRA Paper 5788, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:5788
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    File URL: https://mpra.ub.uni-muenchen.de/5788/1/MPRA_paper_5788.pdf
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    References listed on IDEAS

    as
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    6. Paresh Kumar Narayan, 2005. "The structure of tourist expenditure in Fiji: evidence from unit root structural break tests," Applied Economics, Taylor & Francis Journals, vol. 37(10), pages 1157-1161.
    7. Willem A. Naudé & Andrea Saayman, 2005. "Determinants of Tourist Arrivals in Africa: A Panel Data Regression Analysis," Tourism Economics, , vol. 11(3), pages 365-391, September.
    8. Egger, Peter, 2000. "A note on the proper econometric specification of the gravity equation," Economics Letters, Elsevier, vol. 66(1), pages 25-31, January.
    9. Inmaculada Martínez-Zarzoso & Felicitas Nowak-Lehmann D., 2003. "Augmented gravity model: An empirical application to Mercosur- European trade flows," International Trade 0309019, University Library of Munich, Germany.
    10. 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.
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    Cited by:

    1. Karagoz Kadir, 2014. "Determinants Of Tourist Inflows To Romania: Evidence From Augmented Panel Gravity Model," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 347-358, July.

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    More about this item

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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