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Les entreprises culturelles sont-elles soutenables ?


  • Xavier Greffe
  • Véronique Simonnet


When we wonder about the ability of cultural activities to sustain economic development, it looks relevant to assess the ability of cultural enterprises to develop and survive. Considering the INSEE data base on New Enterprises [SINE, 1998-2003], this contribution demonstrates three results. The rate of survival of new cultural enterprises is not actually different from the mainstream enterprise one : But some differences appear in terms of cultural subsectors. Whereas visual and live arts enterprises face difficult beginnings – due to the artisan or notoriety risk – audiovisual enterprises face better prospect. The opposite will appear after the three years when they face the industrial risk or the ability to change their own structure according to the need to satisfy new wants and design new organizations. A second important result deals with the role of the banks : When they look able to assess the potential prospect of any cultural enterprises, their financial support can discriminate against their survival due to the corresponding financial burden. Finally, cultural enterprises survival relies on the nature of their environment : linked to similar enterprises, they face an important competition effect ; connected with other types of cultural enterprises they benefit from an important synergy effect. These conclusions support the case for new cultural policies designs.

Suggested Citation

  • Xavier Greffe & Véronique Simonnet, 2010. "Les entreprises culturelles sont-elles soutenables ?," Revue d'économie politique, Dalloz, vol. 120(1), pages 57-86.
  • Handle: RePEc:cai:repdal:redp_201_0057

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    1. Van Biesebroeck, Johannes, 2008. "The Sensitivity of Productivity Estimates," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 311-328.
    2. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    3. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    5. Özler, Sule & Taymaz, Erol & YIlmaz, Kamil, 2009. "History Matters for the Export Decision: Plant-Level Evidence from Turkish Manufacturing Industry," World Development, Elsevier, vol. 37(2), pages 479-488, February.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. W. Diewert & Alice Nakamura, 2003. "Index Number Concepts, Measures and Decompositions of Productivity Growth," Journal of Productivity Analysis, Springer, vol. 19(2), pages 127-159, April.
    8. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    9. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    10. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    11. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
    12. Yasar, Mahmut & Morrison Paul, Catherine J., 2007. "International linkages and productivity at the plant level: Foreign direct investment, exports, imports and licensing," Journal of International Economics, Elsevier, vol. 71(2), pages 373-388, April.
    13. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    14. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    15. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    16. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    17. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    18. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
    19. Johannes Van Biesebroeck, 2007. "ROBUSTNESS OF PRODUCTIVITY ESTIMATES -super-," Journal of Industrial Economics, Wiley Blackwell, vol. 55(3), pages 529-569, September.
    20. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    21. Diewert, W E, 1992. "The Measurement of Productivity," Bulletin of Economic Research, Wiley Blackwell, vol. 44(3), pages 163-198, July.
    22. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
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