IDEAS home Printed from https://ideas.repec.org/a/alu/journl/v2y2015i17p5.html
   My bibliography  Save this article

Cultural Participation And Touristic Valorisation Of The Local Cultural Heritage

Author

Listed:
  • Lucian Marina

Abstract

Cultural participation has been examined by most studies as a consequence of a complex of socio-demographic factors and less of attitudinal ones. This paper investigates the link between participation in cultural events and attitudes towards cultural and historical heritage within the context of a process of urban regeneration and development of cultural marketing activities. Examining data from two surveys conducted on the same urban population during two consecutive years, we find a significant association between participation in cultural events and several socio-demographic factors, including education and age. We will use several logistic regression models to see the combined influence of socio-demographic factors and the attitude factors towards participation in cultural events. The survey results provide empirical support for the existence of a strong relationship between participation in cultural events and a positive attitude towards the proposals for cultural or tourism valorisation of the regenerated urban spaces.

Suggested Citation

  • Lucian Marina, 2015. "Cultural Participation And Touristic Valorisation Of The Local Cultural Heritage," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(17), pages 1-5.
  • Handle: RePEc:alu:journl:v:2:y:2015:i:17:p:5
    as

    Download full text from publisher

    File URL: http://oeconomica.uab.ro/upload/lucrari/1720152/05.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Miguel Angel Ruiz Palacios & Cristiana Pereira Texeira de Oliveira & José Serrano González & Soledad Saénz Flores, 2021. "Analysis of Tourist Systems Predictive Models Applied to Growing Sun and Beach Tourist Destination," Sustainability, MDPI, vol. 13(2), pages 1-24, January.

    More about this item

    Keywords

    touristic offer; cultural marketing; urban regeneration; cultural participation;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    Statistics

    Access and download statistics

    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:alu:journl:v:2:y:2015:i:17:p:5. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Dan-Constantin Danuletiu (email available below). General contact details of provider: .

    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.