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Why New Firms Never Get Large? Evidence on Post-Entry Growth of Italian New Firms

Author

Listed:
  • Andrea Bonaccorsi

    () (Università di Pisa)

  • Silvia Giannangeli

    () (Scuola Superiore di Studi Universitari e di Perfezionamento "Sant'Anna" di Pisa)

Abstract

In the microeconomic literature substantial attention is cur rently paid to the problem of new firms' post-entry growth. This paper contributes to the literature by examining a large number of factors influencing the probability to grow of a sample of Italian firms born in the period 1999-2000. We confirm some of the ef fects discussed in the literature, particularly on initial size, financial resources and industry effects. Moreover, we show that the need for independence and founders' knowledge of the production process stemming from previous work experience significantly af fect firm growth. Market opportunities and innovative ideas do not significantly influence growth.

Suggested Citation

  • Andrea Bonaccorsi & Silvia Giannangeli, 2005. "Why New Firms Never Get Large? Evidence on Post-Entry Growth of Italian New Firms," Rivista di Politica Economica, SIPI Spa, vol. 95(1), pages 137-180, January-F.
  • Handle: RePEc:rpo:ripoec:v:95:y:2005:i:1:p:137-180
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    Cited by:

    1. Alessandro Gambini & Alberto Zazzaro, 2013. "Long-lasting bank relationships and growth of firms," Small Business Economics, Springer, vol. 40(4), pages 977-1007, May.

    More about this item

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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