Advertisement

Factors Influencing Tourism Expenditure on Accommodation in World Heritage Cities

  • Juan Ignacio Pulido-Fernández
  • Isabel Carrillo-HidalgoEmail author
  • Ana Belén Mudarra-Fernández
Chapter
Part of the Tourism, Hospitality & Event Management book series (THEM)

Abstract

In recent years, scientific literature has shown special interest in the identification of the factors that influence tourism expenditure, especially in cultural destinations. However, very few studies of this type have been undertaken in World Heritage Cities. Taking the case of Úbeda and Baeza, two cities in southern Spain which were declared World Heritage Sites in 2003, and using a multivariate double-hurdle model, which allows firstly the analysis of the probability of spending and then the quantification of that spending, it has been possible to identify the factors that influence tourism expenditure on accommodation in this type of destination. The results obtained are highly significant for policymakers, destination managers and businesses since they can inform decision-making by these groups with respect to the activities required in order to increase tourism expenditure in this type of city.

References

  1. Amir, S., Osman, M., Bachok, S., & Ibrahim, M. (2015). Understanding domestic and international tourists’ expenditure pattern in Melaka, Malaysia: Result of CHAID analysis. Procedia Social and Behavioral Sciences, 172, 390–397.CrossRefGoogle Scholar
  2. Andrade, T. G. (2016). Perfil del turista que visita la ciudad de Cuenca, influido por su reconocimiento como ciudad patrimonio de la humanidad. http://dspace.ucuenca.edu.ec/handle/123456789/26148.
  3. Blundell, R., & Meghir, C. (1987). Bivariate alternatives to the tobit model. Journal of Econometrics, 34, 179–200.CrossRefGoogle Scholar
  4. Brida, J. G., Disegna, M., & Scuderi, R. (2013a). Visitor to two types of museums: do expenditure patterns differ? Tourism Economics, 19(5), 1027–1047.CrossRefGoogle Scholar
  5. Brida, J. G., Monterubbianes, P. D., & Zapata-Aguirre, S. (2013b). Análisis de los factores que infuencian el gasto de los turistas: el caso de los visitantes de museos de Medellin. Revista de Economia del Rosario, 16(1), 149–170.Google Scholar
  6. Brida, J. G., Pulina, M., Riaño, E., & Zapata, S. (2013c). Cruise passengers in a homeport: A market analysis. Tourism Geographies, 16(1), 68–87.CrossRefGoogle Scholar
  7. Cárdenas-García, P. J., Pulido-Fernández, J. I., & Mudarra-Fernández, A. B. (2014). Direct economic impact of tourism on World Heritage Cities: An approach to measurement in emerging destinations. Czech Journal of Tourism, 3(2), 91–106.CrossRefGoogle Scholar
  8. Carlevaro, F., Croissant, Y., & Hoareau, S. (2012). Multiple hurdle tobit models in R: The mhurdle Package. ftp://mirror3.mirror.garr.it/mirrors/CRAN/web/packages/mhurdle/vignettes/mhurdle.pdf.
  9. Cragg, J. G. (1971). Some statistical models for limited dependent variables with applications for the demand for durable goods. Econometrica, 39(5), 829–844.CrossRefGoogle Scholar
  10. Deaton, A., & Irish, M. (1984). A statistical model for zero expenditures in household budgets. Journal of Public Economics, 23, 59–80.CrossRefGoogle Scholar
  11. Disegna, M., Scuderi, R., & Brida, J. G. (2012). Visitors of two types of museums: Do expenditure patterns differ? Tourism Economics, 19(5), 1027–1047.  https://doi.org/10.5367/te.2013.0295.CrossRefGoogle Scholar
  12. Esteban, A., Mondejar, J. A., & Cordente, M. (2009). Segmentación de turistas en una Ciudad Patrimonio de la Humanidad. Turismo cultural en ciudades Patrimonio de la Humanidad: 107–128. Coord. by Juan Antonio Mondéjar Jiménez, Miguel Angel Gómez Borja, 2009. ISBN 978-84-8427-586-2, 11–52.Google Scholar
  13. Lara, F., & López-Guzmán, T. (2004). El turismo como motor de desarrollo económico en ciudades patrimonio de la humanidad. Pasos, 2(2), 243–256.CrossRefGoogle Scholar
  14. Marrocu, E., Paci, R., & Zara, A. (2015). Micro-economic determinants of tourist expenditure: A quantile regression approach. Tourism Management, 50, 13–30.CrossRefGoogle Scholar
  15. McFadden, D. (1974). The measurement of urban travel demand. Journal of Public Economics, 3, 303–328.CrossRefGoogle Scholar
  16. Molina, A., Martín-Consuegra, D., Esteban, A., & Díaz, E. (2007). Segmentación de la demanda turisticas: Un analisis aplicado a un destino de turismo cultural. Revista de Análisis Turístico, 4(2), 36–48.Google Scholar
  17. Pulido-Fernández, J. I., Cárdenas-García, P. J., & Carrillo-Hidalgo, I. (2016). Trip cultural activities and tourism expenditure in emerging urban-cultural destinations. International Journal of Tourism Research, 18(4), 286–296.CrossRefGoogle Scholar
  18. Serra, J., Borges, M. R., & Marujo, M. N. (2016). Expenditure pattern analysis of cultural tourists at World Heritage Sites: Empirical evidence based on CHAID analysis. In ATLAS Annual Conference 2016 Tourism, Lifestyles and Locations Canterbury, United Kingdom, September 14–16, 2016, Book of extended abstracts. ISBN 978-90-75775-91-4.Google Scholar
  19. Siebinga, A. S. (2013). Multicolored or black and white. The effect of World Heritage listing on curacao tourism. Roterdam: Erasmus Universiteit Rotterdam.Google Scholar
  20. Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26(1), 24–36.CrossRefGoogle Scholar
  21. Troitiño, M. A. (1998). Turismo y desarrollo sostenible en las ciudades historicas con patrimonio arquitectónico-monumental. Estudios Turísticos, 137, 5–53.Google Scholar
  22. Vuong, Q. H. (1989). Likelihood ratio tests for model selection and non-nested hypothesis. Econometrica, 57(2), 307–333.CrossRefGoogle Scholar
  23. Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly, 26(2), 13–23. http://uicphdmis.pbworks.com/w/file/fetch/54311383/Writing%20a%20Literature%20Review.pdf.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Juan Ignacio Pulido-Fernández
    • 1
  • Isabel Carrillo-Hidalgo
    • 1
    Email author
  • Ana Belén Mudarra-Fernández
    • 2
  1. 1.Laboratory of Analysis and Innovation in Tourism (LAInnTUR)University of JaénJaénSpain
  2. 2.University of JaénJaénSpain

Personalised recommendations