This paper examines the determinants of tourism revenues in Russia and gauges their impact on tourism demand over the period 1993:12 to 2002:10. The demand for tourism and the choice of tourist destinations are subject to significant swings for many reasons, including variations in income, exchange rates and prices, as well as unpredicted events such as relevant political changes. Therefore, reliable estimates of the elasticities of tourism demand become important for the formulation of efficient tourism policies. In this context a cointegration analysis of the demand for tourism in Russia within a VAR framework was carried out. The results suggest a robust and significant long-run cointegration relationship between Russian tourism receipts, world GDP, real exchange rates and air transport prices. In particular, the estimated income, cost of living and airfares elasticities are statistically significant and have the expected signs, and their values are in accordance with the empirical literature.
AlgieriB. (2004), ‘The effects of the Dutch Disease in Russia’, DP Series, No 83, Zentrum für Entwicklungsforschung (Centre for Development Research), University of Bonn, Bonn.
2.
AutyR.M. (1990), Resource-Based Industrialization: Sowing the Oil in Eight Developing Countries, Oxford University Press, New York.
3.
BrauR. (1995), ‘Analisi econometrica della domanda turistica in Europa: Implicazioni per lo sviluppo economico delle aree turistiche’, CRENOS Working Papers, No 2, Centre for North South Economic Research, Cagliari.
4.
ChanY.-M. (1993), ‘Forecasting tourism: A sine wave time series regression approach’, Journal of Travel Research, Vol 32, No 2, pp 58–60.
5.
ChuF.-L. (1998), ‘Forecasting tourist arrivals: Nonlinear sine wave or ARIMA?’, Journal of Travel Research, Vol 36, No 3, pp 79–84.
6.
CrouchG.I.SchultzL.ValerioP. (1992), ‘Marketing international tourism to Australia: A regression analysis’, Tourism Management, Vol 13, pp 196–208.
7.
De MelloM.SinclairM.T. (2002), ‘A system of equations model of UK tourism demand in neighbouring countries’, Applied Economics, Vol 34, pp 509–521.
8.
DeatonA.MuellbauerJ. (1980), ‘An almost ideal demand system’, American Economic Review, Vol 70, pp 312–326.
9.
DurbarryR. (2000), ‘Analysis of competitiveness using a gravity-based model’, Nottingham University Working Papers, No 1, University of Nottingham, Nottingham.
10.
EndersW. (1995), Applied Econometric Time Series, John Wiley and Sons, New York.
11.
EngleR.F.GrangerC.W.J. (1987), ‘Co-integration and error correction: Representation, estimation and testing’, Econometrica, Vol 55, pp 251–276.
12.
LuzziG. FerroFlückigerY. (2003), ‘An econometric estimation of the demand for tourism’, Pacific Economic Review, Vol 8, pp 289–303.
13.
Garcia-FerrerA. (1997), ‘A note on forecasting international tourism demand in Spain’, International Journal of Forecasting, Vol 13, No 4, pp 539–549.
14.
GonzalezP.MoralP. (1995), ‘An analysis of the international tourism demand in Spain’, International Journal of Forecasting, Vol 11, No 2, pp 233–251.
GrangerC.W.J. (1976), ‘Time series modelling and interpretation’, Journal of the Royal Statistical Society, No 139, pp 246–257.
17.
HellströmJ. (2002), ‘Count data modelling and tourism demand’, Umeå Economic Studies, No 584, Department of Economics, Umeå University, Umeå.
18.
JohansenS. (1991), ‘Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models’, Econometrica, Vol 59, pp 1551–1580.
19.
JohansenS. (1995), Likelihood-Based Inference in Cointegrated Vector Autoregressive Models, Oxford University Press, Oxford.
20.
JohansenS.JuseliusK. (1990), ‘Maximum likelihood estimation and inferences on cointegration – with applications to the demand for money’, Oxford Bulletin of Economics and Statistics, No 52, pp 169–210.
21.
KulendranN. (1996), ‘Modelling quarterly tourism flows to Australia using cointegration analysis’, Tourism Economics, Vol 2, No 3, pp 203–222.
22.
KulendranN.KingM.L. (1997), ‘Forecasting international quarterly tourist flows using error-correction and time-series models’, International Journal of Forecasting, Vol 13, pp 319–327.
23.
LathirasP.SiriopoulosC. (1998), ‘The demand for tourism to Greece: A cointegration approach’, Tourism Economics, Vol 4, No 2, pp 171–185.
24.
LimC. (2000), ‘A seasonal analysis of Asian tourist arrivals to Australia’, Applied Economics, No 32, pp 499–509.
25.
LoebP.D. (1982), ‘International travel to the United States: An econometric evaluation’, Annals of Tourism Research, Vol 9, pp 7–20.
26.
MartinC.A.WittS.F. (1989), ‘Forecasting tourism demand: A comparison of the accuracy of several quantitative methods’, International Journal of Forecasting, Vol 5, No 1, pp 7–19.
27.
MoiseevA. (1999), ‘Analysis of influence of the ‘Dutch Disease’ and taxation on economic welfare: Example of the Russian Economy’, New Economic School Working Papers, No 30, New Economic School, Moscow.
28.
MorleyC.L. (1994), ‘The use of CPI for tourism prices in demand modelling’, Tourism Management, Vol 15, pp 342–346.
29.
MorrisA. (1995), ‘Modelling tourism flows from Europe to Australia’, Tourism Economics, Vol 1, No 2, pp 147–167.
30.
O'HaganJ.W.HarrisonM.J. (1984), ‘Market shares of US tourist expenditure in Europe: An econometric analysis’, Applied Economics, Vol 16, pp 919–931.
31.
OECD (2002), Russian Federation Economic Survey, Organization for Economic Co-operation and Development, Paris.
32.
Osterwald-LenumM. (1992), ‘A note with quantiles of the asymptotic distribution of the maximum likelihood cointegration rank test statistics’, Oxford Bulletin of Economics and Statistics, Vol 54, pp 461–471.
33.
PayneJ.E.MervarA. (2002), ‘A note on modelling tourism revenues in Croatia’, Tourism Economics, Vol 8, No 1, pp 103–109.
34.
RautavaJ. (2002), ‘The role of oil prices and the real exchange rate in Russia's economy’, BOFIT Discussion Papers, No 3, Bank of Finland, Helsinki.
SinclairM. T.SyriopoulosT. (2000), ‘An econometric study of tourism demand: The AIDS model of US and European tourism in mediterranean countries’, in TisdellC., ed, The Economics of Tourism, Edward Elgar, Cheltenham, pp 170–181.
37.
SyriopoulosT.C.SinclairM.T. (1993), ‘An econometric study of tourism demand: The Aids model of US and European tourism in Mediterranean countries’, Applied Economics, No 25, pp 1541–1552.
38.
UysalM.CromptonJ.L. (1984), ‘Determinants of demand for international tourist flows to Turkey’, Tourism Management, Vol 5, pp 288–297.
39.
WalshM. (1986), ‘Demand analysis in Irish tourism’, Journal of the Statistical and Social Inquiry Society of Ireland, Vol 27, Part I V, pp 1–35.
40.
WhiteK.J. (1985), ‘An international travel demand model: US travel to Western Europe’, Annals of Tourism Research, No 12, pp 529–546.
41.
WittC.A.WittS. F.WilsonN.(1994), ‘Forecasting international tourist flows’, Annals of Tourism Research, Vol 21, No 3, pp 612–628.
42.
WittS. F.WittC. A. (1995), ‘Forecasting tourism demand: A review of empirical research’, International Journal of Forecasting, No 11, pp 447–475.
YoungP. (1997), ‘Comments on an analysis of international tourism demand in Spain by P. Gonzalez and P. Moral’, International Journal of Forecasting, No 20, pp 551–556.
