Determinants of tourist arrivals in Africa: a panel data regression analysis

Naudé, Wim and Saayman, Andrea (2005): Determinants of tourist arrivals in Africa: a panel data regression analysis. Published in: Tourism Economics , Vol. Touris, No. 3 : pp. 365-391.

Abstract

Africa’s tourism potential is acknowledged to be significant but underdeveloped. This paper uses both cross-section data and panel data for the period 1996–2000 to identify the determinants of tourism arrivals in 43 African countries, taking into account tourists’ country of origin. The results strongly suggest that political stability, tourism infrastructure, marketing and information, and the level of development at the destination are key determinants of travel to Africa. Typical ‘developed country determinants’ of tourism demand, such as the level of income in the origin country, the relative prices and the cost of travel, are not so significant in explaining the demand for Africa as a tourism destination. It is therefore recommended that attention should be given to improving the overall stability of the continent and the availability and quantity of tourism infrastructure.

• Item Type: MPRA Paper
• Language: English
• Keywords: Africa; tourism; tourism arrivals
• Subjects: O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O55 - Africa; C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models; F - International Economics > F1 - Trade > F14 - Empirical Studies of Trade

References

Ahmed, Z.U, Heller, V.L., and Hughes, K.A. (1998), ‘Tourism in South Africa’, Cornell Hotel and Restaurant Administration Quarterly, December, pp 80–90.

Anderson, T.W., and Hsiao, C. (1982), ‘Formulation and estimation of dynamic models using panel data’, Journal of Econometrics, Vol 18, pp 47–82.

Archer, B. (1977), ‘Tourism multipliers: the state of the art’, University of Wales Press, Cardiff.

Arellano, M., and Bond, S. (1991), ‘Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations’, Review of Economic Studies, Vol 58, pp 277–297.

Attanasio, O.P., Picci, L., and Scorcu, A.E. (2000), ‘Saving, growth, and investment: a macroeconomic analysis using a panel of counties’, Review of Economics and Statistics, Vol 82, pp 182–211.

Austin, N.K. (2003), ‘Entrepreneurship development and tourism in rural African communities’,Journal of African Business, Vol 4, No 1, pp 87–98.

Baltagi, B.H. (1995), Econometric Analysis of Panel Data, John Wiley, New York.

Blundell, R., and Bond, S. (1998), ‘Initial conditions and moment restrictions in dynamic panel data models’, Journal of Econometrics, Vol 87, No 1, pp 115–143.

Chen, J.S., and Hsu, C.H.C. (2001), ‘Developing and validating a riverboat gaming impact scale’, Annals of Tourism Research, Vol 28, No 2, pp 459–476.

Chen, L.L., and Devereux, I. (1999), ‘Tourism and welfare in Sub-Saharan Africa: a theoretical analysis’, Journal of African Economies, Vol 8, No 2, pp 209–227

Christie, I.T., and Crompton, D.E. (2001), Tourism in Africa, Africa Region Working Paper Series,No 12, World Bank, Washington, DC.

Chu, F-L. (1998), ‘Forecasting tourism demand in Asian–Pacific countries’, Annals of Tourism Research, Vol 25, No 3, pp 597–615.

Chu, F-L. (2004), ‘Forecasting tourism demand: a cubic polynomial approach’, Tourism Management,Vol 25, pp 209–218.

Cleverdon, R.G. (2002), ‘Tourism development in the SADC region: the opportunities and challenges’, Development Southern Africa, Vol 19, No 1, pp 7–28.

Coshall, J. (2000), ‘Spectral analysis of international tourism flows’, Annals of Tourism Research, Vol 27, No 3, pp 577–589.

Crouch, G.I. (1995), ‘A meta-analysis of tourism demand’, Annals of Tourism Research, Vol 22, No 1, pp 103–118.

DEAT (1996), The Development and Promotion of Tourism in South Africa, White Paper, Department of Environmental Affairs and Tourism, Government Printer, Pretoria.

DFID (1999), Tourism and Poverty Elimination: Untapped Potentials, Department for International Development, London.

Diamond, J. (1976), ‘Tourism and development policy: a quantitative appraisal’, Bulletin of Economic Research, Vol 28, No 1, pp 36–50.

Divisekera, S. (2003), ‘A model of demand for international tourism’, Annals of Tourism Research, Vol 30, No 1, pp 31–49.

Du Preez, J., and Witt, S.F. (2003), ‘Univariate versus multivariate time series forecasting: an application to international tourism demand’, International Journal of Forecasting, Vol 19, No 3, pp 435–451

Eilat, Y., and Einav, L. (2003), ‘The determinants of international tourism: a three-dimensional panel data analysis’, unpublished working paper.

Gallup, J.L., and Sachs, J.D. (2000), The Economic Burden of Malaria, CID Working Paper No 52, Harvard University, Cambridge, MA.

Gallup, J.L., Sachs, J.D., and Mellinger, A. (1999), Geography and Economic Development, CID Working Paper No 1, Harvard University, Cambridge, MA.

Gauci, A., Gerosa, V., and Mwalwanda, C. (2002), Tourism in Africa and the Multilateral Trading System: Challenges and Opportunities, Background Paper for the Economic Commission for Africa, Addis Ababa.

Gelan, A. (2003), ‘Local economic impacts: the British Open’, Annals of Tourism Research, Vol 30, No 2, pp 406–425. Heston, A., Summers, R., and Aten, B. (2002), Penn World Tables 6.1, CICUP, http:// pwt.econ.upenn.edu.

Jud, G.D., and Joseph, H. (1974), ‘International demand for Latin American tourism’, Growth and Change, January, pp 25–31.

Kaufmann, D., Kraay, A., and Zoido-Lobaton, P. (1999), Aggregating Governance Indicators, Policy Research Department Working Paper No 2195, World Bank, Washington, DC.

Kennedy, P. (2003), A Guide to Econometrics, 5th edition, Blackwell, Oxford.

Kester, J.G.C. (2003), ‘International tourism in Africa’, Tourism Economics, Vol 9, No 2, pp 203–221.

Kim, S., and Song, H. (1998), ‘Analysis of inbound tourism demand in South Korea: a cointegration and error correction approach’, Tourism Analysis, Vol 3, pp 25–41.

Kottke, M. (1988), ‘Estimating economic impacts of tourism’, Annals of Tourism Research, Vol 15, pp 122–133.

Kulendran, N., and Witt, SF. (2001), ‘Cointegration versus least squares regression’, Annals of Tourism Research, Vol 28, No 2, pp 291–311.

Ledesma-Rodriguez, F.J., Navarro-Ibanez, M., and Perez-Rodriguez, J.V. (1999), Panel Data and Tourism Demand: the Case of Tenerife, FEDEA Documento de Trabajo 99-17, Fundación de Estudios de Economía Aplicada, Madrid.

Lim, C. (1997a), ‘Review of international tourism demand models’, Annals of Tourism Research, Vol 24, No 4, pp 835–849.

Lim, C. (1997b), ‘An econometric classification and review of international tourism demand models’, Tourism Economics, Vol 3, No 1, pp 69–81.

Lim, C. (1999), ‘A meta-analytic review of international tourism demand’, Journal of Travel Research, Vol 37, pp 273–284.

Lim, C. (2004), ‘The major determinants of Korean outbound travel to Australia’, Mathematics and Computers in Simulation, Vol 64, pp 477–485.

Lim, C., and McAleer, M. (2001), ‘Forecasting tourist arrivals’, Annals of Tourism Research, Vol 28, No 4, pp 965–977.

Lim, C., and McAleer, M. (2002), ‘Time series forecasts of international travel demand for Australia’, Tourism Management, Vol 23, pp 389–396.

Lim, C., and McAleer, M. (2003), ‘Modelling International Travel Demand from Singapore to Australia’, CIRJE-F-214, Faculty of Economics, University of Tokyo.

Martin, C.A., and Witt, S.F. (1989), ‘Accuracy of Econometric forecasts of tourism’, Annals of Tourism Research, Vol 16, pp 407–428.

Naudé, W.A., and Krugell, W.F. (2003), ‘An inquiry into cities and their role in subnational economic growth in South Africa’, Journal of African Economies, Vol 12, No 4, pp 476–499.

Nordström, J. (2002), Dynamic and Stochastic Structures in Tourism Demand Modelling, Umeå Economic Studies, No 596, Umeå University, Umeå.

Piga, C.A.G. (2003), ‘Territorial planning and tourism development tax’, Annals of Tourism Research, Vol 30, No 4, pp 886–905.

Poirier, R.A. (1997), ‘Political risk analysis and tourism’, Annals of Tourism Research, Vol 24, No 3, pp 675–686.

Pollak, R.A. (1970), ‘Habit formation and dynamic demand functions’, Journal of Political Economy, Vol 78, pp 745–763.

Randall, J.E. and Warf, B. (1996), ‘Economic impacts of AAG conferences’, Professional Geographer, Vol 48, No 3, pp 272–284.

Saayman, A., Saayman, M., and Naudé, W.A. (2000), ‘The impact of tourist spending in Southern Africa: spatial implications’, South African Journal of Economic and Management Sciences, Vol 3, No 3, pp 369–386.

Saayman, M., Saayman, A., and Rhodes, J.A. (2001), ‘Domestic tourist spending and economic development: the case of the North West Province’, Development Southern Africa, Vol 18, No 4, pp 443–455.

Sachs, J.D., and Warner, A.M. (1997), ‘Sources of slow growth in African economies’, Journal of African Economics, Vol 6, No 3, pp 375–377.

Sheldon, P. (1993), ‘Forecasting tourism: expenditure versus arrivals’, Journal of Travel Research, Vol 22, No 1, pp 13–20.

Smeral, E., and Weber, A. (2000), ‘Forecasting international tourism trends to 2010’, Annals of Tourism Research, Vol 27, No 4, pp 982–1006.

Song, H., and Witt, S.F. (2000), ‘Tourism demand modelling and forecasting: modern econometric approaches’, Pergamon, Oxford.

Song, H., Romilly, P., and Liu, X. (2000), ‘An empirical study of outbound tourism demand in the UK’, Applied Economics, Vol 32, pp 611–624.

Song, H., Witt, S.F., and Jensen, T.C. (2003), ‘Tourism forecasting: accuracy of alternative econometric models’, International Journal of Forecasting, Vol 19, pp 123–141.

Turner, L.W., Kulendran, N., and Fernando, H. (1997), ‘Univariate modelling versus period and nonperiodic analysis: inbound tourism to Japan, Australia and New Zealand compared’, Tourism Economics, Vol 3, No 1, pp 39–56.

Vaughan, D.R., Farr, H., and Slee, R.W. (2000), ‘Estimating and interpreting local economic benefits of visitor spending: an explanation’, Leisure Studies, Vol 19, pp 95–118.

Walpole, M.J., and Goodwin, H.J. (2000), ‘Local economic impacts of Dragon tourism in Indonesia’, Annals of Tourism Research, Vol 27, No 3, pp 559–576.

Wang, P.C. (1997), ‘Economic impact assessment of recreation services and the use of multipliers: a comparative examination’, Journal of Park and Recreation Administration, Vol 15, No 2, pp 32–43.

Warner, A.M. (2002), Institutions, Geography, Regions, Countries and the Mobility Bias, CID Working Paper No 91, Harvard University, Cambridge, MA.

White, H. (1980), ‘A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity’, Econometrica, Vol 48, pp 817–838.

Williams, A.M., and Shaw, G. (1992), ‘Tourism and economic development: Western European experiences’, 2nd edition, Belhaven, London.

Witt, S.F., and Witt, C.A. (1992), Modelling and Forecasting Demand in Tourism, Academic Press, London.

Witt, S.F., and Witt, C.A. (1995), ‘Forecasting tourism demand: a review of empirical research’, International Journal of Forecasting, Vol 11, pp 447–475.

Wooldridge, J.M. (2001), Econometric Analysis of Cross Section and Panel Data, MIT Press, Cambridge MA.

WTO (2000), Tourism 2020 Vision, Vol 1: Africa, World Tourism Organization, Madrid.

WTO (2002), Compendium of Tourism Statistics (1996-2000), World Tourism Organization, Madrid.

WTO (2003a), Tourism Highlights, World Tourism Organization, Madrid.

WTO (2003b), World Tourism Barometer, Vol 1, No 2, October, World Tourism Organization, Madrid.

WTO (2003c), World Tourism Barometer, Vol 1, No 1, October, World Tourism Organization, Madrid.

WTTC (2003), Sub-Saharan Africa: Travel and Tourism, World Travel and Tourism Council, London.

Zhou, D., Yanagida, J.F., Chakravorty, U., and Leung, P. (1997), ‘Estimating economic impact from tourism’, Annals of Tourism Research, Vol 24, No 1, pp 76–89.