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Dimensions of cultural consumption among tourists: Multiple correspondence analysis

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  • Richards, Greg
  • van der Ark, L. Andries

Abstract

The cultural tourism market has diversified and fragmented into many different niches. Previous attempts to segment cultural tourists have been largely unidimensional, failing to capture the complexity of cultural production and consumption. We employ multiple correspondence analysis to visualize the relationship between cultural consumers and attractions in a large data set (n = 12,905). This indicates that two dimensions describing the ranges between ‘static’ and ‘dynamic’ attractions and ‘high-brow’ and ‘low brow’ culture effectively discriminate different groups of arts and heritage tourists. The holiday structure itself seems to provide a context that influences the cultural consumption of actors. Thus higher levels of cultural capital are related to more accessible forms of culture, contrary to theoretical expectations. There is also evidence of the development of a cultural tourism ‘travel career’ with more dynamic cultural forms being characteristic of younger tourists and more high brow and static forms of culture being consumed in later life by those with higher levels of cultural capital.

Suggested Citation

  • Richards, Greg & van der Ark, L. Andries, 2013. "Dimensions of cultural consumption among tourists: Multiple correspondence analysis," Tourism Management, Elsevier, vol. 37(C), pages 71-76.
  • Handle: RePEc:eee:touman:v:37:y:2013:i:c:p:71-76
    DOI: 10.1016/j.tourman.2013.01.007
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    References listed on IDEAS

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    1. González, Pablo Rodríguez & Molina, Oscar, 2009. "Spanish Tourist Behaviour: A Specific Objective-base Segmantation," MPRA Paper 25458, University Library of Munich, Germany, revised 27 Aug 2009.
    2. Nenadic, Oleg & Greenacre, Michael, 2007. "Correspondence Analysis in R, with Two- and Three-dimensional Graphics: The ca Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i03).
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    Cited by:

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    2. Agata Nicolosi & Valentina Rosa Laganà & Lorenzo Cortese & Donatella Privitera, 2018. "Using the Network and MCA on Tourist Attractions. The Case of Aeolian Islands, Italy," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    3. Michael Greenacre & Patrick J. F Groenen & Trevor Hastie & Alfonso Iodice d’Enza & Angelos Markos & Elena Tuzhilina, 2023. "Principal component analysis," Economics Working Papers 1856, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Weaver, David B. & Kwek, Anna & Wang, Ying, 2017. "Cultural connectedness and visitor segmentation in diaspora Chinese tourism," Tourism Management, Elsevier, vol. 63(C), pages 302-314.
    5. Yu-Chih Huang & Jen-Son Cheng & Lan Lan Chang, 2020. "Understanding Leisure Trip Experience and Subjective Well-Being: an Illustration of Creative Travel Experience," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(4), pages 1161-1182, September.
    6. Angeloni, Silvia, 2016. "A tourist kit ‘made in Italy’: An ‘intelligent’ system for implementing new generation destination cards," Tourism Management, Elsevier, vol. 52(C), pages 187-209.
    7. Agapito, Dora & Valle, Patrícia & Mendes, Júlio, 2014. "The sensory dimension of tourist experiences: Capturing meaningful sensory-informed themes in Southwest Portugal," Tourism Management, Elsevier, vol. 42(C), pages 224-237.

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