Abstract
South Tyrol is the first province in Italy in number of overnight stays (2008) and this reveals that the region is one of the most important destinations in Italy. Tourism is an important sector of the South Tyrolean’s economy with more than 10,000 tourist establishments and 27,146,242 overnight stays in 2007 derived from 5,239,775 arrivals (7.5% of the total arrivals in Italy). The output of the tourism industry in South Tyrol increased from less than 5% of the region’s GDP in 1970 to 12% in 2007. As a consequence, the South Tyrolean economy is strongly dependent on tourism. Income from tourism industry has exhibited constant growth during the last 40 years. The increase in overnight stays in the same period was from 11 million to more than 27 million. In the last 15 years, the rate of growth of the number of overnight stays was around 1% but in the last 30 years there was a decrease in the average number of overnight stays from 9 to 5 days. In average per year, around 30,000 persons are employed in the tourism sector, accounting for more than 12% of total employments in South Tyrol, where women are 58% of the total employees in the sector.
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References
Arellano M, Bond S (1991) Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev Econ Stud 58:277–297
ASTAT (2008) Tourism in south Tyrol: year 2006/07. ASTAT-Bolzano, Italy
Blake A, Durbarry R, Eugenio-Martin JL, Gooroochurn N, Hay B, Lennon J, Sinclair TM, Sugiyarto G, Yeoman I (2006) Integrating forecasting and CGE models: the case of tourism in Scotland. Tourism Manage 27:292–305
Cortés-Jiménez I, Durbarry R, Pulina M (2009) Estimation of outbound italian tourism demand: a monthly dynamic EC-LAIDS model. Tourism Econ 15(3):547–565
Durbarry R, Sinclair MT (2003) Market shares analysis: the case of french tourism demand. Ann Tourism Res 30(3):927–941
Eilat Y, Einav L (2004) Determinants of international tourism: a three dimensional panel data analysis. Appl Econ 36(12):1315–1327
Eugenio-Martin JL, Martín-Morales N, Sinclair MT (2008) The role of economic development in tourism demand. Tourism Econ 14(4):673–690
Fujii E, Mak J (1981) Forecasting tourism demand: some methodological issues. Ann Reg Sci 15(2):359–380
Garín-Muñoz T (2006) Inbound international tourism to Canary Islands: a dynamic panel data model. Tourism Manage 27(2):281–291
Garín-Muñoz T (2007) German demand for tourism in Spain. Tourism Manage 28(1):12–22
Garín-Muñoz T, Montero-Martín L (2007) Tourism in the Balearic Islands: a dynamic model for International demand using panel data. Tourism Manage 28(2):1224–1235
Holtz-Eakin D (1988) Testing for individual effects in autoregressive models. J Econom 39:297–308
Hsiao C (2003) Analysis of panel data, 2nd edn. Cambridge, Cambridge University Press
Khadaroo J, Seetanah B (2007) Transport infrastructure and tourism development. Ann Tourism Res 34(4):1021–1032
Kuo HI, Chen CC, Tseng WC, Ju LF, Huang BW (2008) Assessing impacts of SARS and Avian Flu on international tourism demand to Asia. Tourism Manage 29(5):917–928
Ledesma-Rodriguez FJ, Navarro-Ibanez M, Perez-Rodrıguez JV (2001) Panel data and tourism: a case study of Tenerife. Tourism Economics 7(1):75–88
Maloney WF, Montes Rojas GV (2005) How elastic are sea, sand and sun? Dynamic panelestimates of the demand for tourism. Appl Econ Lett 12(5):277–280
Naude WA, Saayman A (2005) Determinants of tourist arrivals in Africa: a panel data regression analysis. Tourism Econ 11:365–391
Roget FM, Gonzalez XAR (2006) Rural tourism demand in Galicia, Spain. Tourism Econ 12(1):21–31
Sakai M, Brown J, Mak J (2000) Population aging and Japanese international travel in the 21st century. J Travel Res 38(2):212–220
Song H, Li G (2008) Tourism demand modeling and forecasting – a review of recent research. Tourism Manage 29(2):203–220
Vu JC (2006) Effect of demand volume on forecasting accuracy. Tourism Econ 12(2):263–273
Witt S, Martin C (1987) Econometric models for forecasting international tourism demand. J Travel Res 25(3):23–30
Acknowledgements
Our research was supported by the Competence centre in Tourism Management and Tourism Economics (TOMTE) of the Free University of Bolzano, project: “Tourism, growth, development and sustainability. The case of the South Tyrolean region”. We would also like to thank the helpful comments of anonymous referees.
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Brida, J.G., Risso, W.A. (2011). An Econometric Study of German Tourism Demand in South Tyrol. In: Matias, Á., Nijkamp, P., Sarmento, M. (eds) Tourism Economics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2725-5_5
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DOI: https://doi.org/10.1007/978-3-7908-2725-5_5
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