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Financing Conditions, the Concept of Innovation Capacity and the Innovative Activity of Firms

Author

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  • Georg Paula

Abstract

In this paper a novel survey dataset allows us to use a direct measure for credit constraints as well as a direct measure for the innovative activity of a firm to identify the effects of credit constraints on the innovation behaviour of firms. Furthermore, the design of the survey questions and the panel structure of the dataset allow us to avoid problems commonly difficult to solve such as the existence of forward looking adjustments in a world of expectations or mutual causation, and moreover to analyse potential asymmetries in the effects of above average and below average credit conditions. As opposed to many other papers we find clear evidence for a negative effect of credit constraints on the innovative activity of firms. In addition, we find that below average financing conditions restrict innovative activity, while above average financing conditions do not foster it. To explain this novel result we extend the usual theory of innovation activity by rigidities with respect to a firm’s individual innovation capacity, which leads to a differentiation between a long run and a short run equilibrium in innovative output.

Suggested Citation

  • Georg Paula, 2010. "Financing Conditions, the Concept of Innovation Capacity and the Innovative Activity of Firms," CESifo Working Paper Series 3296, CESifo Group Munich.
  • Handle: RePEc:ces:ceswps:_3296
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    File URL: http://www.cesifo-group.de/DocDL/cesifo1_wp3296.pdf
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    References listed on IDEAS

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    1. Robert E. Carpenter & Bruce C. Petersen, 2002. "Is The Growth Of Small Firms Constrained By Internal Finance?," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 298-309, May.
    2. Benoît Mulkay & Bronwyn H, Hall & Jacques Mairesse, 2000. "Firm Level Investment and R&D in France and the United States : A Comparison," Working Papers 2000-49, Center for Research in Economics and Statistics.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 129-137.
    4. Hanna Hottenrott & Bettina Peters, 2012. "Innovative Capability and Financing Constraints for Innovation: More Money, More Innovation?," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1126-1142, November.
    5. Sascha O. Becker & Klaus Wohlrabe, 2008. "European Data Watch: Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(2), pages 307-319.
    6. Smolny, Werner, 1998. "Innovations, Prices and Employment: A Theoretical Model and an Empirical Application for West German Manufacturing Firms," Journal of Industrial Economics, Wiley Blackwell, vol. 46(3), pages 359-381, September.
    7. Claudio A. Piga & Gianfranco Atzeni, 2007. "R&D Investment, Credit Rationing And Sample Selection," Bulletin of Economic Research, Wiley Blackwell, vol. 59(2), pages 149-178, April.
    8. Aydogan Alti, 2003. "How Sensitive Is Investment to Cash Flow When Financing Is Frictionless?," Journal of Finance, American Finance Association, vol. 58(2), pages 707-722, April.
    9. Stephen Bond & Dietmar Harhoff & John Van Reenen, 2010. "Investment, R&D and Financial Constraints in Britain and Germany," NBER Chapters,in: Contributions in Memory of Zvi Griliches, pages 433-460 National Bureau of Economic Research, Inc.
    10. Dirk Czarnitzki & Hanna Hottenrott, 2011. "Financial Constraints: Routine Versus Cutting Edge R&D Investment," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(1), pages 121-157, March.
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    Cited by:

    1. Christian Seiler, 2012. "The Data Sets of the LMU-ifo Economics & Business Data Center – A Guide for Researchers," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 132(4), pages 609-618.
    2. repec:eee:respol:v:46:y:2017:i:9:p:1570-1579 is not listed on IDEAS

    More about this item

    Keywords

    credit restrictions; innovative activity;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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