Skip to main content

The Importance of ICT for Tourism Demand: A Dynamic Panel Data Analysis

  • Chapter
  • First Online:
Book cover Quantitative Methods in Tourism Economics

Abstract

The complementary nature of tourism products requires information to be easily accessible from different places around the globe. Electronic distribution in tourism has facilitated the sharing, communication and booking of products and has contributed to the increase of tourism demand as well as to the emergence of a new type of traveller: one who seeks more experiences and sophistication in his travels. The Internet is of increasing importance as a result of the sharp growth in the number of online reservations observed over recent years. Hence, current tourism demand analysis cannot neglect electronic tourism, so that in addition to typically used determinants, variables that represent the impact of the technological environment on the tourism activity also need to be considered. In this paper, using dynamic panel data models evidence is found that the Internet has encouraged the increase of tourism demand and may in fact be one of its determinants.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Baltagi BH, Kao C (2000) Nonstationary panels, cointegration in panels and dynamic panels: a survey, Center for policy research working papers 16, Center for Policy Research, Maxwell School, Syracuse University

    Google Scholar 

  • Bazini E, Elmazi L (2009) ICT influences on marketing mix and building a tourism information system. China USA Bus Rev 8(2):36–45

    Google Scholar 

  • Bloch M, Segev A (1997) The impact of electronic commerce on the travel industry – an analysis methodology and case study. In: Proceedings of the thirtieth annual Hawaii international conference on system sciences, vol 4, IEEE, Maui, Hawaii, pp 48–58

    Google Scholar 

  • Breitung JM, Meyer W (1994) Testing for unit roots using panel data: are wages on different bargaining levels cointegrated. Appl Econ 26:353–361

    Article  Google Scholar 

  • Brida JG, Risso WA (2009) A dynamic panel data study of the German demand for tourism in South Tyrol. Tour Hospitality Res 9(4):305–313

    Article  Google Scholar 

  • Buhalis D (2003) eTourism: information technology for strategic management. Prentice Hall, London

    Google Scholar 

  • Buhalis D, Law R (2008) Progress in information technology and tourism management: 20 years on and 10 years after the Internet – the state of eTourism research. Tour Manage 29:609–623

    Article  Google Scholar 

  • Buhalis D, O’Connor P (2005) Information communication technology revolutionizing tourism. Tour Recreation Res 30:7–16

    Google Scholar 

  • Choi I (2001) Unit root tests for panel data. J Int Money Finance 20:249–272

    Article  Google Scholar 

  • Crouch G (1994) The study of international tourism demand: a review of findings. J Travel Res 33(1):12–23

    Article  Google Scholar 

  • Cunha L (2003) Introdução ao Turismo, 2nd edn. Editorial Verbo, Lisboa

    Google Scholar 

  • Daniel ACM, Rodrigues PMM (2005) Modelling and forecasting tourism demand in Portugal: what was done and what can we do? In: Recent developments in tourism research conference, Faro

    Google Scholar 

  • Dickey DA, Fuller WA (1979) Distribution of the estimators for autoregressive time series with a unit root. J Am Stat Assoc 74:427–431

    Google Scholar 

  • Engle RF, Granger CWJ (1987) Cointegration and error correction: representations, estimation and testing. Econometrica 55:252–276

    Google Scholar 

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

    Article  Google Scholar 

  • Garbin Praničević D (2006) Application of information and communication technologies (ICT) in tourism. An enterprise Odyssey: integration or disintegration (Proceedings), Galetić, Lovorka (ur.). Zagreb: University of Zagreb, Faculty of Economics and Business, pp 925–932

    Google Scholar 

  • Gretzel U, Mitsche N, Hwang Y, Fesenmaier D (2004) Tell me who you are and i will tell you where to go: use of travel personalities in destination recommendation systems. Inf Technol Tour 7:3–12

    Google Scholar 

  • Harris RDF, Tzavalis E (1999) Inference for unit roots in dynamic panels where the time dimension is fixed. J Econ 91:201–226

    Google Scholar 

  • Holtz-Eakin D, Newey W, Rosen HS (1988) Estimating vector autoregressions with panel data. Econometrica 56(6):1371–1395

    Article  Google Scholar 

  • Hurlin C, Mignon V (2004) Second generation panel unit root tests, THEMA-CNRS, Universite de Paris X, Mimeo

    Google Scholar 

  • Im KS, Pesaran MH, Shin Y (2003) Testing for unit roots in heterogenous panels. J Econ 115:53–74

    Google Scholar 

  • Kao C (1999) Spurious regression and residual-based tests for cointegration in panel data. J Econ 90:1–44

    Google Scholar 

  • Levin A, Lin CF (1992) Unit root tests in panel data: asymptotic and finite sample properties. Department of Economics, University of California, San Diego

    Google Scholar 

  • Levin A, Lin C-F, Chu C-SJ (2002) Unit root tests in panel data: asymptotic and finite sample properties. J Econ 108:1–24

    Google Scholar 

  • Maddala GS, Wu S (1999) A comparative study of unit root tests with panel data and new simple test. Oxford Bull Econ Stat 61:631–652

    Article  Google Scholar 

  • Marcussen C (2009) Trends in European Internet distribution of travel and tourism services, Centre for Regional and Tourism Research, Denmark (on-line), Disponível em URL: http://www.crt.dk/UK/staff/chm/trends.htm. Data do último acesso: 19 Oct 2011

  • Matyas L, Sevestre P (eds) (2008) The econometrics of panel data. Springer, Berlin, Third completely new edition

    Google Scholar 

  • Mavri M, Angelis V (2009) Forecasting the growth of e-Tourism sector: the case study of mediterranean countries. Tourismos Interdiscip J Tour 4(3):113–125

    Google Scholar 

  • McCoskey S, Kao C (1998) A residual-based test of the null of cointegration in panel data. Econ Rev 17:57–84

    Article  Google Scholar 

  • O’Connor P (1999) Electronic information distribution in tourism and hospitality. CAB International, Oxford

    Google Scholar 

  • Paskaleva KA (2010) Developing integrated eTourism services for cultural heritage destinations. Int J Serv Technol Manage 13(3/4):247–262

    Article  Google Scholar 

  • Pease W, Rowe M, Cooper M (2005) The role of ICT in regional tourism providers. Asia Pac J Econ Bus 9(2):50–85

    Google Scholar 

  • Pedroni P (2004) Panel cointegration; asymptotic and finite sample properties of pooled time-series tests with applications to the PPP hypothesis. Econ Theory 3:579–625

    Google Scholar 

  • Poon A (1993) Tourism, technology and competitive strategies. CAB International, Wallingford

    Google Scholar 

  • Quah D (1994) Exploiting cross-section variation for unit root inference in dynamic data. Econ Lett 44:9–19

    Article  Google Scholar 

  • Ramos CMQ, Rodrigues PMM, Perna F (2009) Sistemas e Tecnologias de Informação no Sector Turístico. Revista Turismo & Desenvolvimento RT&D 12:21–32

    Google Scholar 

  • Scarpelli MC (2010) Hysteris nas exportações brasileiras: uma análise de cointegração com dados em painel, Tese de Mestrado, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto da Universidade de São Paulo

    Google Scholar 

  • Sheldon P (1989) Travel industry information systems. In: Witt S, Moutinho L (eds) Tourism marketing and management handbook. Prentice Hall, London, pp 589–592

    Google Scholar 

  • Sheldon PJ (1997) Tourism information technology. CAB International, Wallingford

    Google Scholar 

  • Smith R, Fuertes AM (2010) Panel time-series. Cemmap, London

    Google Scholar 

  • Song H, Witt SF (2000) Tourism demand modelling and forecasting: modern econometric approaches. Pergamon, New York

    Google Scholar 

  • Song H, Witt SF, Li G (2009) The advanced econometrics of tourism demand. Routledge/Taylor and Francis, New York

    Google Scholar 

  • Uysal M (1998) The determinants of tourism demand: a theoretical perspective. In: Ioannides D, Debbage KG (eds) The economic geography of the tourist industry: a supply-side analysis. Routledge, New York

    Google Scholar 

  • Verbeek M (2004) A guide to modern econometrics of panel data. Wiley, London

    Google Scholar 

  • Werthner H, Klein S (1999) Information technology and tourism – a challenging relationship. Springer, Vienna

    Book  Google Scholar 

  • Witt SF, Witt CA (1995) Forecasting tourism demand: a review of empirical research. Int J Forecast 11:447–475

    Article  Google Scholar 

  • WTO (2001) E-business for tourism – practical guidelines for tourisms destinations and businesses, World Tourism Organization

    Google Scholar 

  • Xiang Z, Fesenmaier D (2006) Assessing the initial step in the persuasion process: meta tags on destination marketing websites. Inf Technol Tour 8:91–104

    Google Scholar 

Download references

Acknowledgements

The authors thank Peter Nijkamp and two anonymous referees for valuable comments and suggestions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Célia M. Q. Ramos .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Ramos, C.M.Q., Rodrigues, P.M.M. (2013). The Importance of ICT for Tourism Demand: A Dynamic Panel Data Analysis. In: Matias, Á., Nijkamp, P., Sarmento, M. (eds) Quantitative Methods in Tourism Economics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2879-5_6

Download citation

Publish with us

Policies and ethics