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Innovative Capability and Financing Constraints for Innovation: More Money, More Innovation?

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  • Hanna Hottenrott

    (K.U. Leuven and Centre for European Economic Research)

  • Bettina Peters

    (Centre for European Economic Research and University of Zurich)

Abstract

This study presents a novel empirical approach to identify financing constraints for innovation based on the concept of an ideal test (Hall, 2008). Firms were offered a hypothetical payment and asked to choose between alternatives of use. If they selected additional innovation projects, they must have had some unexploited investment opportunities that were not profitable using more costly external finance. We attribute constraints for innovation not only to lacking financing, but also to firms' innovative capability. Econometric results show that financial constraints do not depend on the availability of internal funds per se but that they are driven by innovative capability. © 2012 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Suggested Citation

  • 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.
    • Handle: RePEc:tpr:restat:v:94:y:2012:i:4:p:1126-1142
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    More about this item

    Keywords

    innovation; financing constraints; innovative capability; multivariate probit models;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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