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Análisis de los factores que influencian el gasto de los turistas culturales: el caso de los visitantes de museos de Medellín

Author

Listed:
  • Juan Brida
  • Pablo Daniel Monterubbianesi
  • Sandra Zapata-Aguirre

Abstract

El presente trabajo analiza los determinantes del gasto que realizan los turistas culturales, considerando el caso particular de los visitantes de tres diferentes museos de la ciudad de Medellín, Colombia. Con base en 434 cuestionarios recolectados entre los visitantes de los museos al finalizar su visita durante el periodo junio-octubre 2011 y utilizando un modelo econométrico doble-valla (double-hurdle), el trabajo estima el efecto de distintas variables en el monto y la probabilidad de gasto de los visitantes a un nivel microeconómico. Los resultados muestran que el gasto realizado en diversos rubros de la actividad turística eleva la probabilidad de gastar, así como la del monto a gastar en los rubros alojamiento, alimentos y bebidas. Particularmente se observa un incremento proporcional en el conjunto de los componentes principales dentro del gasto turístico, esto es, transporte, alojamiento y alimentación.

Suggested Citation

  • Juan Brida & Pablo Daniel Monterubbianesi & Sandra Zapata-Aguirre, 2013. "Análisis de los factores que influencian el gasto de los turistas culturales: el caso de los visitantes de museos de Medellín," Revista de Economía del Rosario, Universidad del Rosario, June.
    • Handle: RePEc:col:000151:012880
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    References listed on IDEAS

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    1. Juan Gabriel Brida & Marta Meleddu & Manuela Pulina, 2013. "Factors Influencing Length of Stay of Cultural Tourists," Tourism Economics, , vol. 19(6), pages 1273-1292, December.
    2. Beatriz Plaza, 2006. "The Return on Investment of the Guggenheim Museum Bilbao," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 30(2), pages 452-467, June.
    3. David Aristei & Luca Pieroni, 2008. "A double-hurdle approach to modelling tobacco consumption in Italy," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2463-2476.
    4. Frey, Bruno S. & Meier, Stephan, 2006. "The Economics of Museums," Handbook of the Economics of Art and Culture, in: V.A. Ginsburgh & D. Throsby (ed.), Handbook of the Economics of Art and Culture, edition 1, volume 1, chapter 29, pages 1017-1047, Elsevier.
    5. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    6. Alegre, Joaquín & Mateo, Sara & Pou, Llorenç, 2010. "An analysis of households' appraisal of their budget constraints for potential participation in tourism," Tourism Management, Elsevier, vol. 31(1), pages 45-56.
    7. V.A. Ginsburgh & D. Throsby (ed.), 2006. "Handbook of the Economics of Art and Culture," Handbook of the Economics of Art and Culture, Elsevier, edition 1, volume 1, number 1, December.
    8. Carol Newman & Maeve Henchion, 2001. "Infrequency of purchase and double-hurdle models of Irish households' meat expenditure," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 28(4), pages 393-420, December.
    9. Victor Ginsburgh & David Throsby, 2006. "Handbook of the economics of art and culture," ULB Institutional Repository 2013/1673, ULB -- Universite Libre de Bruxelles.
    10. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    11. Jones, Andrew M & Yen, Steven T, 2000. "A Box-Cox Double-Hurdle Model," Manchester School, University of Manchester, vol. 68(2), pages 203-221, March.
    12. Brida, Juan Gabriel & Scuderi, Raffaele, 2012. "Determinants of tourist expenditure: a review of microeconometric models," MPRA Paper 38468, University Library of Munich, Germany.
    13. Paul Downward & Les Lumsdon, 2000. "The Demand for Day-Visits: An Analysis of Visitor Spending," Tourism Economics, , vol. 6(3), pages 251-261, September.
    14. Paul Downward & Les Lumsdon, 2003. "Beyond the Demand for Day-Visits: An Analysis of Visitor Spending," Tourism Economics, , vol. 9(1), pages 67-76, March.
    15. Brida, Juan Gabriel & Monterubbianesi, Pablo Daniel & Zapata Aguirre, Sandra, 2012. "Análisis de los factores que afectan la repetición de la visita a una atracción cultural: una aplicación al museo de Antioquia [Analysis of factors affecting repeat visit to a cultural attraction: ," MPRA Paper 37622, University Library of Munich, Germany.
    16. Zhang, Hui & Zhang, Junyi & Kuwano, Masashi, 2012. "An integrated model of tourists’ time use and expenditure behaviour with self-selection based on a fully nested Archimedean copula function," Tourism Management, Elsevier, vol. 33(6), pages 1562-1573.
    17. Bai, Junfei & Wahl, Thomas I. & Lohmar, Bryan T. & Huang, Jikun, 2010. "Food away from home in Beijing: Effects of wealth, time and "free" meals," China Economic Review, Elsevier, vol. 21(3), pages 432-441, September.
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    More about this item

    Keywords

    Gasto de los visitantes; museo; modelo doble-valla; comportamiento del gasto;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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