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State Subsidies and Repertoire Conventionality in the Non-Profit English Theatre Sector: An Econometric Analysis

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  • John O’Hagan
  • Adriana Neligan

Abstract

This paper examines the impact of financial and socio-economic factors on repertoire decisions of the grant-aided, non-profit theatre sector in England using cross-sectional regression analysis for the seasons 1996/97 to 1998/99. The dependent variable, a conventionality index, a variant of the DiMaggio/Stenberg conformity index, is calculated first. This shows a very considerable variation in repertoire conventionality, so measured, in the non-profit English theatre sector. A model is then constructed to assess the impact of the above-mentioned factors in determining variations in this index using a dataset hitherto not analysed in this way. The empirical results show that public subsidy, the size and the location of a theatre as well as the local average income have an impact on conventionality, which confirms existing empirical findings. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • John O’Hagan & Adriana Neligan, 2005. "State Subsidies and Repertoire Conventionality in the Non-Profit English Theatre Sector: An Econometric Analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(1), pages 35-57, February.
    • Handle: RePEc:kap:jculte:v:29:y:2005:i:1:p:35-57
    DOI: 10.1007/s10824-005-8132-y
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    1. Jenkins, Stephen & Austen-Smith, David, 1987. "Interdependent decision-making in non-profit industries: A simultaneous equation analysis of English provincial theatre," International Journal of Industrial Organization, Elsevier, vol. 5(2), pages 149-174.
    2. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    3. 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.
    4. J. Pierce, 2000. "Programmatic Risk-Taking by American Opera Companies," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 24(1), pages 45-63, February.
    5. Günther Schulze & Anselm Rose, 1998. "Public Orchestra Funding in Germany – An Empirical Investigation," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 22(4), pages 227-247, December.
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    Cited by:

    1. Víctor Fernández-Blanco & Ana Rodríguez-Álvarez & Aleksandra Wiśniewska, 2019. "Measuring technical efficiency and marginal costs in the performing arts: the case of the municipal theatres of Warsaw," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(1), pages 97-119, March.
    2. Alan Collins & Antonello E. Scorcu & Roberto Zanola, 2009. "Distribution conventionality in the movie sector: an econometric analysis of cinema supply," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 517-527.
    3. 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.
    4. Achten-Gozdowski, Jennifer, 2018. "Geschichte und Politökonomie deutscher Theatersubventionen [History and Political Economy of Public Subsidies for German Theatres and Operas]," MPRA Paper 85087, University Library of Munich, Germany.
    5. William A Luksetich, 2011. "Orchestras," Chapters, in: Ruth Towse (ed.), A Handbook of Cultural Economics, Second Edition, chapter 44, Edward Elgar Publishing.
    6. Juan José Price Elton, 2016. "Racionalidad económica de la política cultural," Estudios Públicos, Centro de Estudios Públicos, vol. 0(144), pages 165-197.
    7. Castiglione, Concetta & Infante, Davide & Zieba, Marta, 2023. "Public support for performing arts. Efficiency and productivity gains in eleven European countries," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    8. Daniel Urrutiaguer, 2011. "Theatre," Chapters, in: Ruth Towse (ed.), A Handbook of Cultural Economics, Second Edition, chapter 59, Edward Elgar Publishing.
    9. Mafalda Gómez-Vega & Luis César Herrero-Prieto, 2019. "Measuring emotion through quality: evaluating the musical repertoires of Spanish symphony orchestras," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 211-245, June.
    10. Gałecka Małgorzata & Smolny Katarzyna, 2019. "Criteria for the optimal financing model of public theatres," Review of Economic Perspectives, Sciendo, vol. 19(2), pages 119-136, June.
    11. Malgorzata Galecka & Katarzyna Smolny, 2021. "Productivity of Public Theatres in the Times of COVID-19: The Example of Polish Theatres," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 667-678.
    12. Jeffrey Pompe & Lawrence Tamburri & Johnathan Munn, 2011. "Factors that influence programming decisions of US symphony orchestras," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(3), pages 167-184, August.

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