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R&D intensity and finance: are innovative firms financially constrained?

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  • Brown, Ward

Abstract

The assumption of perfect capital markets is least likely to be satisfied for the class of firms which devote resources towards the development of innovative products or processes. Existing tests of the impact of capital market imperfections on innovative firms cannot distinguish between two alternative hypotheses: (i) that capital markets are perfect, and that different factors drive the firm's different expenditures, and (ii) that capital markets are imperfect, and that the different expenditures of the firm respond disproportionately to a common factor, namely shocks to the supply of internal finance. However, an implication of the perfect capital markets assumption is that each of the firm's expenditures should be equally insensitive to fluctuations in internal finance. Therefore, to distinguish between these hypotheses, the sensitivity of physical investment expenditures to internal finance is compared across innovative and non-innovative firms. For robustness, several investment equations are estimated. The results support the hypothesis that innovative firms are financially constrained.

Suggested Citation

  • Brown, Ward, 1997. "R&D intensity and finance: are innovative firms financially constrained?," LSE Research Online Documents on Economics 119170, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:119170
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    File URL: http://eprints.lse.ac.uk/119170/
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Hall, Bronwyn H., 1992. "Investment and Research and Development at the Firm Level: Does the Source of Financing Matter?," Department of Economics, Working Paper Series qt5j59j6x3, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. Oliver Hart & John Moore, 1994. "A Theory of Debt Based on the Inalienability of Human Capital," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(4), pages 841-879.
    4. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    5. Abel, Andrew B., 1980. "Empirical investment equations : An integrative framework," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 12(1), pages 39-91, January.
    6. Sudipto Bhattacharya & Jay R. Ritter, 1983. "Innovation and Communication: Signalling with Partial Disclosure," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(2), pages 331-346.
    7. Richard Blundell & Rachel Griffith & John Van Reenen, 1993. "Knowledge stocks, persistent innovation and market dominance: evidence from a panel of British manufacturing firms," IFS Working Papers W93/19, Institute for Fiscal Studies.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    More about this item

    Keywords

    investment; R&D; financing constraints;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • G00 - Financial Economics - - General - - - General

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