Tourism Demand Modelling and Forecasting: An Overview

Autores

  • Célia M.Q. Ramos CEFAGE; ESGHT da Universidade do Algarve
  • Paulo M.M. Rodrigues CEFAGE; Departamento de Estudos Económicos, Banco de Portugal; Faculdade de Economia, Universidade Nova de Lisboa.

Palavras-chave:

Econometrics Models, Forecasting Accuracy, Temporal Series, Tourism Demand Determinants, Tourism Demand Modelling

Resumo

The research of tourism demand of a country or region is indispensable since the tourist demand and economic growth are positively related. In the analysis of tourism demand, which should be initiated by the identification of factors and determinants which explain the preference for a particular destination, it is necessary to identify the most appropriate functional relationship between the independent variables in order to define the model, more representative, for the purpose of the study, which investigates about what influences or motivates the search for a specific tourist destination while allows the forecasting of their development. Thus, this article aims to contribute to a better understanding of the problems associated with the process of tourism demand modelling and forecasting for a given destination.

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Biografia do Autor

Célia M.Q. Ramos, CEFAGE; ESGHT da Universidade do Algarve

Departamento: Informática

Área: Sistemas e Tecnologias de Informação

Paulo M.M. Rodrigues, CEFAGE; Departamento de Estudos Económicos, Banco de Portugal; Faculdade de Economia, Universidade Nova de Lisboa.

Departamento: Economia

Área: Econometria

Referências

Archer, B. (1994). Demand Forecasting and Estimation, Travel, Tourism and Hospitality Research, John Wiley & Sons, Inc., 105-114.

Berenson, M., & Levine, D.M. (1999). Basic Business Statistics: Concepts and Applications, (7th ed) Prentice-Hall: London.

Buhalis, D., & Costa, C. (2006). Tourism Management dynamics – trends, management and tools. Elsevier: Oxford.

Chaves, C., Maciel, E., Guimarães, P., & Ribeiro, J.C. (2000). Instrumentos Estatísticos de Apoio à Economia: Conceitos Básicos. McGraw-Hill: Amadora.

Crouch, G. (1994a). The Study of International Tourism Demand: A Survey of Practice. Journal of Travel research, 32(4), 41-57.

Crouch, G. (1994b) The Study of International Tourism Demand: A Review of Findings. Journal of Travel research, 33(1), 12-23.

Cunha, L. (2003). Introdução ao Turismo. (2 ed.) Editorial Verbo: Lisboa.

Daniel, A.C.M. (2000). Previsão da Procura Turística em Portugal: Cointegração, Modelos ECM e Modelos Univariados. Tese de Mestrado, Universidade do Minho: Braga.

Daniel, A.C.M., & Rodrigues, P.M.M. (2005). Modelling and Forecasting Tourism Demand in Portugal: What Was Done and What Can We Do? In Recent Developments in Tourism Research Conference: Faro, Outubro de 2005.

Dickey, D.A., & Fuller, W.A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74, 427–431.

Elliott, G., Rothenberg, T.J., & Stock, J.H. (1996). Efficient Tests for an Autoregressive Unit Root. Econometrica, 64(4), 813–836.

Fleischer, A., & Felsenstein, D. (2004). Face-to-face or cyberspace? Choosing the Internet as an intermediary in the Israeli travel market. Tourism Economics, 10(3), 345–359.

Hylleberg, S., Engle, E.F., Granger, C.W.J., & Yoo, B.S. (1990). Seasonal Integration and Cointegration. Journal of Econometrics, 44, 215-238.

Ioannides, D., & Dabbage, K. (1998). The Economic Geography of the Tourism Industry. Routledge: London.

Li, G., Song, H., & Witt, S. (2005). Recent Development in Econometric Modeling and Forecasting. Journal of Travel Research, 44, 82-99.

Macedo, M.A. (1997). Indicador Avançado da Procura Turística em Portugal, Tese de Mestrado, Instituto Superior de Economia e Gestão: Lisboa.

Matos, A.I.M. (2000). A Modelização Econométrica da Procura Turística em Portugal. Tese de Mestrado, Universidade do Porto: Porto.

Mavri, M., & Angelis, V. (2009). Forecasting the Growth of E-Tourism Sector: The Case Study of Mediterranean Countries. Tourismos: An Interdisciplinary Journal of Tourism, 4(3), 113-125.

Pearce, D. (1995). Tourism Today a Geographical Analysis. (2 ed.) Longman, Scientific & Technical: London.

Ramos, C.M.Q., Rodrigues, P.M.M., & Perna, F. (2009). Sistemas e Tecnologias de Informação no Sector Turístico. Revista Turismo & Desenvolvimento, Aveiro, 12, 21-32.

Ramos, C.M.Q., & Rodrigues, P.M.M. (2013). The Importance of ICT for Tourism Demand: A Dynamic Panel Data Analysis, in Matias, A.; Nijkamp, P.; Sarmento, M. Quantitative Methods in Tourism Economics. Physica-Verlag, 97-112.

Rodrigues, P.M.M., & Taylor, A.M.R. (2011). The Flexible Fourier Form and Local GLS De-trended Unit Root Tests. Oxford Bulletin of Economics and Statistics, 1-26.

Song, H., & Li, G., 2008, Tourism demand modelling and forecasting - A review of recent research. Tourism Management, 29, 203-220.

Song, H., & Witt, S.F. (2000) Tourism demand modelling and forecasting: Modern econometric approaches. Pergamon: New York.

Song, H., Witt, S.F., & Li, G. (2009). The Advanced Econometrics of Tourism Demand, Taylor and Francis: Routledge.

Stevenson, W. J. (1986). Estatística Aplicada à Administração. (2 ed.) Editora Harbra: São Paulo.

Uysal, M. (1998). The determinants of tourism demand: A theoretical perspective, in Ioannides, D. & Debbage, K. G: (eds.) The economic geography of the tourist industry: A supply-side analysis, Routledge: New York, 79-95.

Witt, S.F., & Witt, C. (1992). Modelling and Forecasting Demand in Tourism. Academic Press Limited: San Diego.

Witt, S.F., & Witt, C. (1995) Forecasting Tourism Demand: A review of Empirical Research. International Journal of Forecasting, 11, 447-475.

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Publicado

31-12-2014

Como Citar

RAMOS, C. M.; RODRIGUES, P. M. Tourism Demand Modelling and Forecasting: An Overview. Revista de Turismo Contemporâneo, [S. l.], v. 2, n. 2, 2014. Disponível em: https://periodicos.ufrn.br/turismocontemporaneo/article/view/5482. Acesso em: 1 maio. 2024.

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