IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i5p2911-d512643.html
   My bibliography  Save this article

Cultural Sustainability in University Students’ Flamenco Music Event Attendance: A Neural Networks Approach

Author

Listed:
  • Jesús Manuel De Sancha-Navarro

    (Department of Business Administration and Marketing, Faculty of Economics and Business Sciences, Universidad de Sevilla, Ramon y Cajal 1, 41018 Seville, Spain)

  • Juan Lara-Rubio

    (Department of Finance and Accounting, Faculty of Economics and Business Sciences, Universidad de Granada, Paseo de Cartuja, 7, 18011 Granada, Spain)

  • María Dolores Oliver-Alfonso

    (Department of Financial Economics and Operations Management, Faculty of Economics and Business Sciences, Universidad de Sevilla, Ramon y Cajal 1, 41018 Seville, Spain)

  • Luis Palma-Martos

    (Department of Economy and Economic History, Faculty of Economics and Business Sciences, Universidad de Sevilla, Ramon y Cajal 1, 41018 Seville, Spain)

Abstract

University students consume live music; however, almost 40% declare that they have never attended a flamenco show, an intangible heritage of humankind. Numerous studies have shown that cultural capital and socioeconomic profile, among other factors, are variables that influence cultural consumption, and therefore, cultural sustainability. Considering the relationship between several variables, this paper pursues a double objective. On the one hand, identifying the factors that influence attendance at flamenco shows, and on the other, proposing a predictive model that quantifies the likelihood of an individual attending a flamenco show. To this end, we analyse flamenco consumption by means of a survey conducted on 452 university students, using Multilayer Perceptrom (a non-parametric model), a methodology based on an artificial neural network. Our results confirm the importance of cultural capital, as well as personal and external factors, among other. The findings of this research work are of potential interest for management and planning of cultural events, as well as to promote cultural sustainability.

Suggested Citation

  • Jesús Manuel De Sancha-Navarro & Juan Lara-Rubio & María Dolores Oliver-Alfonso & Luis Palma-Martos, 2021. "Cultural Sustainability in University Students’ Flamenco Music Event Attendance: A Neural Networks Approach," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2911-:d:512643
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/5/2911/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/5/2911/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liébana-Cabanillas, F. & Lara-Rubio, J., 2017. "Predictive and explanatory modeling regarding adoption of mobile payment systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 32-40.
    2. John F. Veiga & Michael Lubatkin & Roland Calori & Philippe Véry & Alex Tung, 2000. "Using neutral network analysis to uncover the trace effects of national culture," Post-Print hal-02311647, HAL.
    3. Caitlan Russell & Jen D. Snowball, 2016. "Festival fringe production and the long tail," Working Papers 576, Economic Research Southern Africa.
    4. Charles Gray, 1998. "Hope for the Future? Early Exposure to the Arts and Adult Visits to Art Museums," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 22(2), pages 87-98, June.
    5. Jonathan Corning & Armando Levy, 2002. "Demand for Live Theater with Market Segmentation and Seasonality," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(3), pages 217-235, August.
    6. Louis Lévy-Garboua & Claude Montmarquette, 1996. "A microeconometric study of theatre demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 20(1), pages 25-50, March.
    7. Trilce Navarrete & Karol J. Borowiecki, 2015. "Change in access after digitization: Ethnographic collections in Wikipedia," ACEI Working Paper Series AWP-10-2015, Association for Cultural Economics International, revised Oct 2015.
    8. Ateca Amestoy, Victoria Maria, 2009. "El capital humano como determinante del consumo cultural/," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 89-112, Abril.
    9. Michael Getzner, 2020. "Spatially Disaggregated Cultural Consumption: Empirical Evidence of Cultural Sustainability from Austria," Sustainability, MDPI, vol. 12(23), pages 1-19, December.
    10. Donata Favaro & Carlofilippo Frateschi, 2007. "A discrete choice model of consumption of cultural goods: the case of music," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(3), pages 205-234, September.
    11. Victoria M. Ateca-Amestoy & Victor Ginsburgh & Isidoro Mazza & John O'Hagan & Juan Prieto-Rodriguez (ed.), 2017. "Enhancing Participation in the Arts in the EU," Springer Books, Springer, number 978-3-319-09096-2, June.
    12. Maarit Kinnunen & Harri Homi & Antti Honkanen, 2020. "Social Sustainability in Adolescents’ Music Event Attendance," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    13. Wei-Jen Wen & Tsung-Chi Cheng, 2013. "Performing arts attendance in Taiwan: who and how often?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(2), pages 309-325, May.
    14. Junlong Wu & Keshen Jiang & Chaoqing Yuan, 2019. "Determinants of demand for traditional Chinese opera," Empirical Economics, Springer, vol. 57(6), pages 2129-2148, December.
    15. 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.
    16. Zhang, Guoqiang & Eddy Patuwo, B. & Y. Hu, Michael, 1998. "Forecasting with artificial neural networks:: The state of the art," International Journal of Forecasting, Elsevier, vol. 14(1), pages 35-62, March.
    17. John F Veiga & Michael Lubatkin & Roland Calori & Phillipe Very & Y Alex Tung, 2000. "Using Neural Network Analysis to Uncover the Trace Effects of National Culture," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 31(2), pages 223-238, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jesús Heredia-Carroza & Luis Palma & Jesús de Sancha-Navarro & Carlos Chavarría-Ortiz, 2023. "Consumption Habits of Recorded Music: Determinants of Flamenco Albums Acquisition," SAGE Open, , vol. 13(3), pages 21582440231, September.
    2. Díaz León, Blas & Martínez Fernández, Ignacio & Palma Martos, Luis, 2023. "Interés por las artes escénicas desde el capital cultural y la educación: el caso español, 2019," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 15(2), pages 365-401, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jesús Heredia-Carroza & Luis Palma & Jesús de Sancha-Navarro & Carlos Chavarría-Ortiz, 2023. "Consumption Habits of Recorded Music: Determinants of Flamenco Albums Acquisition," SAGE Open, , vol. 13(3), pages 21582440231, September.
    2. Sara Suarez-Fernandez & Juan Prieto-Rodriguez & Maria Jose Perez-Villadoniga, 2020. "The changing role of education as we move from popular to highbrow culture," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(2), pages 189-212, June.
    3. 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.
    4. 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.
    5. José Grisolía & Kenneth Willis, 2012. "A latent class model of theatre demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 113-139, May.
    6. 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.
    7. Junlong Wu & Keshen Jiang & Chaoqing Yuan, 2019. "Determinants of demand for traditional Chinese opera," Empirical Economics, Springer, vol. 57(6), pages 2129-2148, December.
    8. Pablo De la Vega & Sara Suarez-Fernández & David Boto-García & Juan Prieto-Rodríguez, 2020. "Playing a play: online and live performing arts consumers profiles and the role of supply constraints," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(3), pages 425-450, September.
    9. Michael Getzner, 2020. "Spatially Disaggregated Cultural Consumption: Empirical Evidence of Cultural Sustainability from Austria," Sustainability, MDPI, vol. 12(23), pages 1-19, December.
    10. Hu, Michael Y. & Zhang, G. Peter & Chen, Haiyang, 2004. "Modeling foreign equity control in Sino-foreign joint ventures with neural networks," European Journal of Operational Research, Elsevier, vol. 159(3), pages 729-740, December.
    11. Cuccia, Tiziana, 2009. "A Contingent Ranking Study on the Preferences of Tourists across Seasons/A Contingent Ranking Study on the Preferences of Tourists across Seasons," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 161-176, Abril.
    12. Juan Montoro-Pons & Manuel Cuadrado-García, 2011. "Live and prerecorded popular music consumption," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(1), pages 19-48, February.
    13. David Throsby & John R. Severn & Katya Petetskaya, 2024. "Preference formation in demand for live theatre," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 48(2), pages 285-310, June.
    14. Masaki Katsuura, 2012. "Lead–lag relationship between household cultural expenditures and business cycles," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(1), pages 49-65, February.
    15. 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.
    16. 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.
    17. 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.
    18. Victoria Ateca-Amestoy & Concetta Castiglione, 2023. "Live and digital engagement with the visual arts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(4), pages 643-692, December.
    19. Concetta Castiglione, 2019. "Revealed individual attendance at Italian theatre: a microeconomic investigation," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(3), pages 731-759, October.
    20. Geng Chen & Pei Tang, 2021. "Similar but special: an econometric analysis of live performing arts attendance in mainland China," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 459-490, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2911-:d:512643. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.