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How often to a museum? Motivations matter

Author

Listed:
  • Juan Gabriel Brida

    (Free University of Bozen)

  • Chiara Dalle Nogare

    (University of Brescia)

  • Raffaele Scuderi

    (University of Enna Kore)

Abstract

Some recent contributions to the literature on cultural participation have highlighted the presence of previously disregarded motivations and the necessity of a refinement of the measure of cultural capital used in empirical analyses. However, the question of how motivation affects the frequency of cultural consumption has seldom been raised in a rigorous empirical setting. Here we use data collected in 2012 at Vittoriale, the most popular museum of the shores of lake Garda, a renowned Italian touristic destination, to investigate the issue. We apply Zero Inflated Poisson, in order to assess the influence of a set of selected variables on the number of museums visited in the last 12 months. We find that cultural capital, proxied by literacy, social status, proximity of supply and time constraints affect the number of visits to museums and arts exhibitions. We also find that the variables capturing a possible motivation effect, obtained as a result of a multiple correspondence analysis, are significant. We draw some new policy implications for museum managers.

Suggested Citation

  • Juan Gabriel Brida & Chiara Dalle Nogare & Raffaele Scuderi, 2014. "How often to a museum? Motivations matter," BEMPS - Bozen Economics & Management Paper Series BEMPS16, Faculty of Economics and Management at the Free University of Bozen.
  • Handle: RePEc:bzn:wpaper:bemps16
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    References listed on IDEAS

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    1. Juan Brida & Marta Disegna & Raffaele Scuderi, 2014. "The behaviour of repeat visitors to museums: review and empirical findings," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2817-2840, September.
    2. Victoria Ateca-Amestoy, 2008. "Determining heterogeneous behavior for theater attendance," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(2), pages 127-151, June.
    3. Ateca-Amestoy, Victoria & Prieto-Rodriguez, Juan, 2013. "Forecasting accuracy of behavioural models for participation in the arts," European Journal of Operational Research, Elsevier, vol. 229(1), pages 124-131.
    4. Marco Alderighi & Eleonora Lorenzini, 2012. "Cultural goods, cultivation of taste, satisfaction and increasing marginal utility during vacations," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(1), pages 1-26, February.
    5. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, September.
    6. Paulo Brito & Carlos Barros, 2005. "Learning-by-Consuming and the Dynamics of the Demand and Prices of Cultural Goods," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(2), pages 83-106, May.
    7. K. Willis & J. Snowball & C. Wymer & José Grisolía, 2012. "A count data travel cost model of theatre demand using aggregate theatre booking data," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 91-112, May.
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    Cited by:

    1. Cristina Muñiz & Plácido Rodríguez & María José Suárez, 2017. "Participation in cultural activities: specification issues," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(1), pages 71-93, February.

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    Keywords

    museums; cultural participation; econometric model for count data;
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