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The dynamics of product differentiation in the British record industry

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  • Andrew Burke

Abstract

The paper conducts a statistical analysis of the dynamics of the sale of new music (product differentiation innovation) in the record industry. In pursuing this goal the paper generates new data and analyses a previously unutilized data set. The paper finds that there is a strong correlation between new music innovation in the audio singles and albums market. This is found to be mainly concurrent in the same quarter and to have a reasonably short product life. The paper discovers that these features also characterise the dynamics of record company performance. The research indicates that record companies are willing to sell singles at a loss due to advertising rather than learning externalities. At the industry level, the paper finds that new music innovation does not effect market size significantly and mainly causes ‘business stealing’ effects between record companies, with exceptional cases of multiplier effects. Copyright Kluwer Academic Publishers 1996

Suggested Citation

  • Andrew Burke, 1996. "The dynamics of product differentiation in the British record industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 20(2), pages 145-164, June.
  • Handle: RePEc:kap:jculte:v:20:y:1996:i:2:p:145-164
    DOI: 10.1007/s10824-005-5164-2
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    References listed on IDEAS

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    1. Osborn, Denise R, et al, 1988. "Seasonality and the Order of Integration for Consumption," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 50(4), pages 361-377, November.
    2. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
    3. Osborn, Denise R., 1990. "A survey of seasonality in UK macroeconomic variables," International Journal of Forecasting, Elsevier, vol. 6(3), pages 327-336, October.
    4. Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
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    Cited by:

    1. David Giles, 2007. "Increasing returns to information in the US popular music industry," Applied Economics Letters, Taylor & Francis Journals, vol. 14(5), pages 327-331.
    2. Seungkyu Shin & Juyong Park, 2018. "On-Chart Success Dynamics Of Popular Songs," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(03n04), pages 1-18, May.
    3. David Giles, 2007. "Survival of the hippest: life at the top of the hot 100," Applied Economics, Taylor & Francis Journals, vol. 39(15), pages 1877-1887.
    4. Jonathan Gander & Alison Rieple, 2004. "How Relevant is Transaction Cost Economics to Inter-Firm Relationships in the Music Industry?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 28(1), pages 57-79, February.
    5. Mark Lorenzen & Lars Frederiksen, 2005. "On the Economics of Innovation Projects Product Experimentation in the Music Industry," DRUID Working Papers 05-23, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    6. Andrea Ordanini, 2006. "Selection models in the music industry: How a prior independent experience may affect chart success," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 30(3), pages 183-200, December.
    7. Marc Bourreau & Michel Gensollen & François Moreau & Patrick Waelbroeck, 2013. "“Selling less of more?” The impact of digitization on record companies," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(3), pages 327-346, August.
    8. Harrie Hansman & Clara Mulder & René Verhoeff, 1999. "The Adoption of the Compact Disk Player: An Event History Analysis for the Netherlands," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(3), pages 221-232, August.
    9. Samuel Cameron, 2016. "Past, present and future: music economics at the crossroads," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 40(1), pages 1-12, February.
    10. Juan D. Montoro-Pons & Manuel Cuadrado-García, 2018. "“Let’s make lots of money”: the determinants of performance in the recorded music sector," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 287-307, May.
    11. Andrew Burke, 1996. "How effective are international copyright conventions in the music industry?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 20(1), pages 51-66, March.
    12. Eric Strobl & Clive Tucker, 2000. "The Dynamics of Chart Success in the U.K. Pre-Recorded Popular Music Industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 24(2), pages 113-134, May.

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    More about this item

    Keywords

    music industry; product differentiation; econometric methodology; demand;
    All these keywords.

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • L30 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - General
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups

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