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Black-box business dynamics

Author

Listed:
  • Callejón, María

    () (Universidad de Barcelona)

  • Ortún, Vicente

    (Universidad Pompeu Fabra)

Abstract

This article highlights the contributions of business dynamics research to industrial policy design. Business creation support programs are widespread despite the fact that the optimal rate of business creation and destruction remains unknown. Economic analysis emphasizes heterogeneity as the most salient characteristic of industrial dynamics. A better knowledge of the different types of entrepreneurs, their behavior and their specific contribution to innovation and growth would allow to see into ‘black box’ of business dynamics and would facilitate the design of appropriate public policies. The empirical analysis performed shows that self-employment has a quite different economic nature than business with employees. Public programs should not promote indiscriminate entry but rather give priority to able entrants with survival capacities. Survival of entrants is positively related to their size at birth. Innovation and investment improve the survival of new manufacturing firms. Investment in R&D increases the risk of failure in new firms, although it improves the competitiveness of the incumbents.

Suggested Citation

  • Callejón, María & Ortún, Vicente, 2009. "Black-box business dynamics," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 15, pages 167-189.
  • Handle: RePEc:ris:invreg:0093
    as

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    References listed on IDEAS

    as
    1. Eve Chiapello & A. Hurand, 2011. "Contribution," Post-Print hal-00681170, HAL.
    2. repec:dau:papers:123456789/6159 is not listed on IDEAS
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    5. James J. Heckman, 2000. "Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective," The Quarterly Journal of Economics, Oxford University Press, vol. 115(1), pages 45-97.
    6. Herrera Gómez, Marcos & Mur Lacambra, Jesús & Ruiz Marín, Manuel, 2012. "Selecting the Most Adequate Spatial Weighting Matrix:A Study on Criteria," MPRA Paper 73700, University Library of Munich, Germany.
    7. Hoover, Kevin D., 2004. "Lost Causes," Journal of the History of Economic Thought, Cambridge University Press, vol. 26(02), pages 149-164, June.
    8. Hood, M. V. & Kidd, Quentin & Morris, Irwin L., 2008. "Two Sides of the Same Coin? Employing Granger Causality Tests in a Time Series Cross-Section Framework," Political Analysis, Cambridge University Press, vol. 16(03), pages 324-344, June.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Industrial dynamics; industrial policy; creative destruction; business demography.;

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy

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