IDEAS home Printed from https://ideas.repec.org/a/kap/jculte/v33y2009i3p167-183.html
   My bibliography  Save this article

Investigating how the attributes of live theatre productions influence consumption choices using conjoint analysis: the example of the National Arts Festival, South Africa

Author

Listed:
  • K. Willis
  • J. Snowball

Abstract

No abstract is available for this item.

Suggested Citation

  • K. Willis & J. Snowball, 2009. "Investigating how the attributes of live theatre productions influence consumption choices using conjoint analysis: the example of the National Arts Festival, South Africa," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(3), pages 167-183, August.
  • Handle: RePEc:kap:jculte:v:33:y:2009:i:3:p:167-183
    DOI: 10.1007/s10824-009-9097-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10824-009-9097-z
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10824-009-9097-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kristien Werck & Bruno Heyndels, 2007. "Programmatic choices and the demand for theatre: the case of Flemish theatres," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(1), pages 25-41, March.
    2. repec:bla:jecsur:v:15:y:2001:i:3:p:435-62 is not listed on IDEAS
    3. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, November.
    5. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    6. Louis Lévy-Garboua & Claude Montmarquette, 2002. "The Demand for the Arts," CIRANO Working Papers 2002s-10, CIRANO.
    7. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    8. Throsby, David, 1994. "The Production and Consumption of the Arts: A View of Cultural Economics," Journal of Economic Literature, American Economic Association, vol. 32(1), pages 1-29, March.
    9. Daniel Urrutiaguer, 2002. "Quality Judgements and Demand for French Public Theatre," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(3), pages 185-202, August.
    10. Abbe-Decarroux, Francois, 1994. "The perception of quality and the demand for services : Empirical application to the performing arts," Journal of Economic Behavior & Organization, Elsevier, vol. 23(1), pages 99-107, January.
    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. Ozhegova, A. & Ozhegov, E., 2018. "Estimation of Demand Function for Performing Arts: Empirical Analysis," Journal of the New Economic Association, New Economic Association, vol. 37(1), pages 87-110.
    2. Alina Ozhegova & Evgeniy M. Ozhegov, 2018. "Heterogeneity in demand for performances and seats in the theatre," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(3), pages 131-145, June.
    3. Claudia Maria CACOVEAN, 2015. "Marketing – A Way To Increase The Value Of The Performing Arts," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(1), pages 137-150, May.
    4. Andrea Baldin & Trine Bille, 2018. "Modelling preference heterogeneity for theatre tickets: a discrete choice modelling approach on Royal Danish Theatre booking data," Applied Economics, Taylor & Francis Journals, vol. 50(5), pages 545-558, January.
    5. Aleksandra Wiśniewska & Mikołaj Czajkowski, 2015. "Utilizing the Discrete Choice Experiment Approach for Designing a Socially Efficient Cultural Policy: The case of municipal theaters in Warsaw," Working Papers 2015-36, Faculty of Economic Sciences, University of Warsaw.
    6. Wiśniewska Aleksandra, 2019. "Quality attributes in the non-market stated-preference based valuation of cultural goods," Central European Economic Journal, Sciendo, vol. 6(53), pages 132-150, January.
    7. 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.
    8. Ozhegova, Alina & Ozhegov, Evgeniy M., 2020. "Segmentation of theatre audiences: A latent class approach for combined data," Journal of choice modelling, Elsevier, vol. 37(C).
    9. 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.
    10. Aleksandra Wiśniewska & Ewa Zawojska & Andrea Baldin & Joanna Rachubik, 2023. "Reliability of international benefit transfer in cultural economics: Non-market valuation of theater in Denmark and Poland," Working Papers 2023-19, Faculty of Economic Sciences, University of Warsaw.
    11. Aleksandra Wiśniewska & Wiktor Budziński & Mikołaj Czajkowski, 2018. "Publicly funded cultural institutions – a comparative economic valuation study," Working Papers 2018-22, Faculty of Economic Sciences, University of Warsaw.
    12. Paul Crosby, 2019. "Don’t judge a book by its cover: examining digital disruption in the book industry using a stated preference approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(4), pages 607-637, December.
    13. Evgeniy M. Ozhegov & Alina Ozhegova, 2018. "Segmentation of Theatre Audiences: A Latent Class Approach for Combined Data," HSE Working papers WP BRP 198/EC/2018, National Research University Higher School of Economics.
    14. Aleksandra Wiśniewska, 2019. "‘Quality food’ for cultural policies. Quality attributes in the non-market stated-preference based valuation of cultural goods," Working Papers 2019-03, Faculty of Economic Sciences, University of Warsaw.
    15. Czajkowski, Mikołaj & Vossler, Christian A. & Budziński, Wiktor & Wiśniewska, Aleksandra & Zawojska, Ewa, 2017. "Addressing empirical challenges related to the incentive compatibility of stated preferences methods," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 47-63.
    16. Alina R. Buzanakova & Evgeniy M. Ozhegov, 2016. "Demand for Performing Arts: The Effect of Unobserved Quality on Price Elasticity," HSE Working papers WP BRP 156/EC/2016, National Research University Higher School of Economics.
    17. David Throsby & Anita Zednik & Jorge E. Araña, 2021. "Public preferences for heritage conservation strategies: a choice modelling approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 333-358, September.
    18. Jani-Petri Laamanen, 2013. "Estimating demand for opera using sales system data: the case of Finnish National Opera," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 417-432, November.
    19. Aleksandra Wiśniewska & Wiktor Budziński & Mikołaj Czajkowski, 2020. "An economic valuation of access to cultural institutions: museums, theatres, and cinemas," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(4), pages 563-587, December.
    20. Marta Zieba, 2017. "Cultural participation of tourists – Evidence from travel habits of Austrian residents," Tourism Economics, , vol. 23(2), pages 295-315, March.
    21. Andrea Baldin & Trine Bille & Raghava Rao Mukkamala & Ravi Vatrapu, 2024. "The impact of social media activities on theater demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 48(2), pages 199-220, June.
    22. 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.
    23. J. Snowball & M. Jamal & K. Willis, 2010. "Cultural Consumption Patterns in South Africa: An Investigation of the Theory of Cultural Omnivores," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 97(3), pages 467-483, July.
    24. J. D. Snowball & K. G. Willis, 2011. "Interview versus self-completion questionnaires in discrete choice experiments," Applied Economics Letters, Taylor & Francis Journals, vol. 18(16), pages 1521-1525.
    25. José M. Grisolía & Kenneth G. Willis, 2016. "Consumer choice of theatrical productions: a combined revealed preference–stated preference approach," Empirical Economics, Springer, vol. 50(3), pages 933-957, May.

    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. van der Ploeg, Frederick, 2006. "The Making of Cultural Policy: A European Perspective," Handbook of the Economics of Art and Culture, in: V.A. Ginsburgh & D. Throsby (ed.), Handbook of the Economics of Art and Culture, edition 1, volume 1, chapter 34, pages 1183-1221, Elsevier.
    2. 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.
    3. Faustin, Vidogbèna & Adégbidi, Anselme A. & Garnett, Stephen T. & Koudandé, Delphin O. & Agbo, Valentin & Zander, Kerstin K., 2010. "Peace, health or fortune?: Preferences for chicken traits in rural Benin," Ecological Economics, Elsevier, vol. 69(9), pages 1848-1857, July.
    4. José M. Grisolía & Kenneth G. Willis, 2016. "Consumer choice of theatrical productions: a combined revealed preference–stated preference approach," Empirical Economics, Springer, vol. 50(3), pages 933-957, May.
    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. Aleksandra Wiśniewska & Mikołaj Czajkowski, 2015. "Utilizing the Discrete Choice Experiment Approach for Designing a Socially Efficient Cultural Policy: The case of municipal theaters in Warsaw," Working Papers 2015-36, Faculty of Economic Sciences, University of Warsaw.
    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. Illichmann, R. & Abdulai, A., 2014. "Analysis of Consumer Preferences and Wilingness-To-Pay for Organic Food Products in Germany," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    9. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy Demand Management and Social Norms," Energies, MDPI, vol. 13(15), pages 1-20, July.
    10. Victor Ginsburgh, 2013. "Mark Blaug and the economics of the arts," Chapters, in: Marcel Boumans & Matthias Klaes (ed.), Mark Blaug: Rebel with Many Causes, chapter 15, pages 208-224, Edward Elgar Publishing.
    11. Ballco, Petjon & Gracia, Azucena, 2020. "Do market prices correspond with consumer demands? Combining market valuation and consumer utility for extra virgin olive oil quality attributes in a traditional producing country," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    12. Landmann, D. & Feil, J.-H. & Lagerkvist, C.J. & Otter, V., 2018. "Designing capacity development activities of small-scale farmers in developing countries based on discrete choice experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277738, International Association of Agricultural Economists.
    13. Anastassiadis, Friederike & Liebe, Ulf & Musshoff, Oliver, 2012. "Finanzielle Flexibilität In Landwirtschaftlichen Investitionsentscheidungen: Ein Discrete Choice Experiment," 52nd Annual Conference, Stuttgart, Germany, September 26-28, 2012 137142, German Association of Agricultural Economists (GEWISOLA).
    14. Gillespie Rob & Kragt Marit E., 2012. "Accounting for Nonmarket Impacts in a Benefit-Cost Analysis of Underground Coal Mining in New South Wales, Australia," Journal of Benefit-Cost Analysis, De Gruyter, vol. 3(2), pages 1-29, May.
    15. Bechtold, Kai-Brit & Abdulai, Awudu, 2012. "Using Choice Experiments to Measure Consumers’ Preferences for Functional Dairy Products in Germany: Are Willingness-To-Pay Estimates Affected by Starting Point Bias?," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 135073, Agricultural Economics Society.
    16. Zack Dorner & Daniel A. Brent & Anke Leroux, 2019. "Preferences for Intrinsically Risky Attributes," Land Economics, University of Wisconsin Press, vol. 95(4), pages 494-514.
    17. Christian Pfarr & Andreas Schmid & Morten Raun Mørkbak, 2018. "Modelling Heterogeneous Preferences for Income Redistribution–An Application of Continuous and Discrete Distributions," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 270-294, June.
    18. Robert Gillespie & Jeff Bennett, 2011. "Willingness to pay for kerbside recycling the Brisbane Region," Environmental Economics Research Hub Research Reports 1097, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    19. Tyllianakis, Emmanouil & Martin-Ortega, Julia & Ziv, Guy & Chapman, Pippa J. & Holden, Joseph & Cardwell, Michael & Fyfe, Duncan, 2023. "A window into land managers’ preferences for new forms of agri-environmental schemes: Evidence from a post-Brexit analysis," Land Use Policy, Elsevier, vol. 129(C).
    20. Longzhong Shi & Xuan Chen & Bo Chen, 2023. "Covid‐19‐tested food labels," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(2), pages 203-230, June.

    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:kap:jculte:v:33:y:2009:i:3:p:167-183. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.