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It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment

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  • M. Rimscha

Abstract

The paper addresses whether the state of the economy impacts the supply of and demand for cinema entertainment. A literature review on the drivers of cinema supply and demand is provided, and two competing hypotheses are extracted. Economic downturns could either lead to a sober mood and drive the interest in serious genres or drive the need for distraction leading to an increased interest in feel-good or action movies. However, characteristics of the movie industry suggest that economic key factors have only limited effects on supply and demand. A time series analysis of supply and demand in three major European markets indicate that demand is unrelated to the state of the economy. In aggregate, the demand does not instruct supply. Fluctuations in individual movie quality superpose potential effects of the economic context on the aggregated demand. Simultaneously, a focus on film as art superposes potential effects of the economic context on the supply. Copyright Springer Science+Business Media New York 2013

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  • M. Rimscha, 2013. "It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 433-455, November.
    • Handle: RePEc:kap:jculte:v:37:y:2013:i:4:p:433-455
    DOI: 10.1007/s10824-012-9192-4
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    1. Jordi McKenzie, 2009. "Revealed word-of-mouth demand and adaptive supply: survival of motion pictures at the Australian box office," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(4), pages 279-299, November.
    2. Zullow, Harold M., 1991. "Pessimistic rumination in popular songs and newsmagazines predict economic recession via decreased consumer optimism and spending," Journal of Economic Psychology, Elsevier, vol. 12(3), pages 501-526, September.
    3. Victor Ginsburgh & Sheila Weyers, 1999. "On the Perceived Quality of Movies," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 269-283, November.
    4. Ralf Dewenter & Michael Westermann, 2005. "Cinema Demand In Germany," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 213-231, August.
    5. Charles C. Moul, 2007. "Measuring Word of Mouth's Impact on Theatrical Movie Admissions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(4), pages 859-892, December.
    6. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871, November.
    7. Chris Hand, 2002. "The Distribution and Predictability of Cinema Admissions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(1), pages 53-64, February.
    8. Richard E. Caves, 2003. "Contracts Between Art and Commerce," Journal of Economic Perspectives, American Economic Association, vol. 17(2), pages 73-83, Spring.
    9. Marco Malgarini & Patrizia Margani, 2007. "Psychology, consumer sentiment and household expenditures," Applied Economics, Taylor & Francis Journals, vol. 39(13), pages 1719-1729.
    10. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    11. Alan Collins & Chris Hand, 2005. "Analyzing moviegoing demand: an individual-level cross-sectional approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 319-330.
    12. Richard van der Wurff & Piet Bakker & Robert Picard, 2008. "Economic Growth and Advertising Expenditures in Different Media in Different Countries," Journal of Media Economics, Taylor & Francis Journals, vol. 21(1), pages 28-52.
    13. Robert Picard, 2001. "Effects of Recessions on Advertising Expenditures: An Exploratory Study of Economic Downturns in Nine Developed Nations," Journal of Media Economics, Taylor & Francis Journals, vol. 14(1), pages 1-14.
    14. Chris Hand, 2001. "Increasing returns to information: further evidence from the UK film market," Applied Economics Letters, Taylor & Francis Journals, vol. 8(6), pages 419-421.
    15. Steven Albert, 1999. "Movie Stars and the Distribution of Financially Successful Films in the Motion Picture Industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 325-329, November.
    16. Peter Macmillan & Ian Smith, 2001. "Explaining Post-War Cinema Attendance in Great Britain," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 25(2), pages 91-108, May.
    17. A. Sisto & R. Zanola, 2010. "Cinema attendance in Europe," Applied Economics Letters, Taylor & Francis Journals, vol. 17(5), pages 515-517.
    18. W. David Walls, 1997. "Increasing returns to information: evidence from the Hong Kong movie market," Applied Economics Letters, Taylor & Francis Journals, vol. 4(5), pages 287-290.
    19. Richard Schmalensee, 2000. "Antitrust Issues in Schumpeterian Industries," American Economic Review, American Economic Association, vol. 90(2), pages 192-196, May.
    20. Gerben Bakker, 2003. "Building Knowledge about the Consumer: The Emergence of Market Research in the Motion Picture Industry," Business History, Taylor & Francis Journals, vol. 45(1), pages 101-127.
    21. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521839198, November.
    22. VÍctor Blanco & JosÉ BaÑos Pino, 1997. "Cinema Demand in Spain: A Cointegration Analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 21(1), pages 57-75, March.
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    Cited by:

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    2. Tylor Orme & Harold L. Vogel, 2020. "Is the Motion-Pictures Industry Recession Proof?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(4), pages 363-375, November.

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    More about this item

    Keywords

    Movie industry; Cinema demand; Genre; Consumer confidence; Economic growth; Historic events; L82; C23;
    All these keywords.

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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