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Foreign direct investment and tourism in SIDS: evidence from panel causality tests

Author

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  • Moore, Winston
  • CRAIGWELL, ROLAND

Abstract

This study applies panel causality methods to investigate the relationship between foreign direct investment (FDI) and tourism in Small Island Developing States (SIDS). The results of the homogenous and instantaneous causality tests suggest that there is a bi-directional causal relationship between the variables. However, this causality is not homogenous for the group of countries. Indeed, heterogeneous causality procedures indicate that there exists a bi-directional causal relationship for only a small set of countries. For the most part, the causal relationship runs from FDI to tourism, implying that FDI provides much needed capacity for SIDS and therefore allows these countries to expand their tourism product.

Suggested Citation

  • Moore, Winston & CRAIGWELL, ROLAND, 2008. "Foreign direct investment and tourism in SIDS: evidence from panel causality tests," MPRA Paper 33438, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:33438
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    File URL: https://mpra.ub.uni-muenchen.de/33438/1/MPRA_paper_33438.pdf
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    References listed on IDEAS

    as
    1. Robert Read, 2008. "Foreign direct investment in small island developing states," Journal of International Development, John Wiley & Sons, Ltd., vol. 20(4), pages 502-525.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1989. "The Revenues-Expenditures Nexus: Evidence from Local Government Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(2), pages 415-429, May.
    4. John H. Dunning & Matthew McQueen, 1981. "The eclectic theory of international production: A case study of the international hotel industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 2(4), pages 197-210, December.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Armstrong, H. & De Kervenoael, R. J. & Li, X. & Read, R., 1998. "A comparison of the economic performance of different micro-states, and between micro-states and larger countries," World Development, Elsevier, vol. 26(4), pages 639-656, April.
    7. Kundu, Sumit K. & Contractor, Farok J., 1999. "Country location choices of service multinationals: An empirical study of the international hotel sector," Journal of International Management, Elsevier, vol. 5(4), pages 299-317.
    8. repec:dau:papers:123456789/6159 is not listed on IDEAS
    9. Tisdell, Clem & Wen, Jie, 1991. "Investment in China's tourism industry: Its scale, nature, and policy issues," China Economic Review, Elsevier, vol. 2(2), pages 175-193.
    10. Craigwell, Roland, 2007. "Tourism Competitiveness in Small Island Developing States," WIDER Working Paper Series 019, World Institute for Development Economic Research (UNU-WIDER).
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    Citations

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    Cited by:

    1. Roland Craigwell & Allan Wright, 2011. "Foreign direct investment and corruption in developing economies: Evidence from linear and non-linear panel Granger causality tests," Economics Bulletin, AccessEcon, vol. 31(3), pages 2272-2283.

    More about this item

    Keywords

    Tourism; FDI; Panel causality tests;

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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