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Determinants of cultural and popular celebration attendance: the case study of Seville Spring Fiestas

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  • María Palma
  • Luis Palma
  • Luis Aguado

Abstract

The Spring Fiestas in Seville (Spain) (SFS) are the most important cultural events in the city each year. The present paper pursues two aims. The first is to characterize the SFS as a new prototype of a complex cultural good that expresses the link between the people and the place in which they live based on material and immaterial cultural heritage represented through popular celebrations. The second goal is to conduct an empirical analysis of the determinants that shape attendance intensity by estimating a zero-truncated count data model using a unique dataset of attendees at the SFS in 2009. Findings indicate that attendance is strongly associated with variables reflecting knowledge, institutional links, past experiences, and the perceived external benefits generated by the existence of the SFS. The article contributes to the literature by exploring participation in popular celebrations, a field of inquiry that to date is extremely limited in cultural economics. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • María Palma & Luis Palma & Luis Aguado, 2013. "Determinants of cultural and popular celebration attendance: the case study of Seville Spring Fiestas," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(1), pages 87-107, February.
    • Handle: RePEc:kap:jculte:v:37:y:2013:i:1:p:87-107
    DOI: 10.1007/s10824-012-9167-5
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    2. Jos� Alberto Molina & Juan Carlos Campa�a & Raquel Ortega, 2016. "Time spent on cultural activities at home in Spain: Differences between wage-earners and the self-employed," Documentos de Trabajo dt2016-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    3. Victoria Ateca-Amestoy & Arantza Gorostiaga & Máximo Rossi, 2020. "Motivations and barriers to heritage engagement in Latin America: tangible and intangible dimensions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(3), pages 397-423, September.
    4. Jose A Bermudez Trivino & Lina M Medina Hurtado & Luis Fernando Aguado Quintero, 2015. "Analyzing the decision to listen to recorded music. A microeconometric approach," Working Papers 3, Faculty of Economics and Management, Pontificia Universidad Javeriana Cali.
    5. Maria Giovanna Brandano & Marta Meleddu, 2021. "Together or not? Spill-over effects of cultural goods displacement," Tourism Economics, , vol. 27(6), pages 1202-1220, September.
    6. Victor Nyatefe & Mawussé Nézan Komlagan Okey, 2020. "Analyse de la consommation des biens culturels au Togo," African Development Review, African Development Bank, vol. 32(1), pages 80-95, March.
    7. Daniel Sampaio Tavares & Fernando Brandão Alves & Isabel Breda Vásquez, 2021. "The Relationship between Intangible Cultural Heritage and Urban Resilience: A Systematic Literature Review," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    8. Junlong Wu & Keshen Jiang & Chaoqing Yuan, 2019. "Determinants of demand for traditional Chinese opera," Empirical Economics, Springer, vol. 57(6), pages 2129-2148, December.
    9. Trinh, Giang & Lam, Desmond, 2016. "Understanding the attendance at cultural venues and events with stochastic preference models," Journal of Business Research, Elsevier, vol. 69(9), pages 3538-3544.
    10. Muñiz, Cristina & Rodríguez, Plácido & Suárez, María J., 2014. "Sports and cultural habits by gender: An application using count data models," Economic Modelling, Elsevier, vol. 36(C), pages 288-297.
    11. Munhyang (Moon) Oh & Seongseop (Sam) Kim & Youngjoon Choi, 2020. "Analyses of determinants of hiking tourism demands on the Jeju Olle hiking trail using zero-truncated negative binomial regression analysis," Tourism Economics, , vol. 26(8), pages 1327-1343, December.
    12. Molina, Jose Alberto & Campaña, Juan Carlos & Ortega, Raquel, 2015. "Time dedicated by consumers to cultural goods: Determinants for Spain," MPRA Paper 68430, University Library of Munich, Germany.
    13. Maria Jose Del Barrio-Tellado & Luis Cesar Herrero-Prieto, 2018. "Supporting the Dance Sector. Does Efficiency Clash with Success When Programming?," ACEI Working Paper Series AWP-03-2018, Association for Cultural Economics International, revised Jul 2018.
    14. Marta Zieba, 2017. "Cultural participation of tourists – Evidence from travel habits of Austrian residents," Tourism Economics, , vol. 23(2), pages 295-315, March.
    15. Pascal Courty & Fenghua Zhang, 2018. "Cultural participation in major Chinese cities," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(4), pages 543-592, November.
    16. Bermúdez Triviño, José A. & Medina Hurtado, Lina M. & Aguado Quintero, Luis F., 2016. "La decisión de escuchar música grabada en Colombia. Un enfoque microeconométrico || The decision of listening to recorded music in Colombia. A microeconometric approach," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 21(1), pages 21-38, June.
    17. Andrey David Ramos Ramírez & Nora Elena Espinal Monsalve, 2020. "Aplicación de modelos de elección discreta regularizados para el análisis de los determinantes del consumo cultural en Colombia: el caso de los bienes del patrimonio cultural [Aplicação de modelos reg," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 30(1), pages 37-68, January-A.
    18. Molina, Jose Alberto & Campaña, Juan Carlos & Ortega, Raquel, 2015. "What do you prefer for a relaxing and cultural time at home: Reading, watching TV, or listening to the radio?," MPRA Paper 68454, University Library of Munich, Germany.

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    More about this item

    Keywords

    Cultural goods; Spring Fiestas in Seville; Cultural participation models; Count data models; Z11; C25;
    All these keywords.

    JEL classification:

    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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