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Producing Innovations: Determinants of Innovativity and Efficiency

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  • Jaap W.B. Bos
  • Ryan C.R. van Lamoen
  • Mark W.J.L. Sanders

Abstract

In this paper we estimate, using stochastic frontier estimation techniques, the relationship between R&D inputs a innovative output in a sample of Dutch firms. We find that over 63% of between firm variation in observed "innovativeness" can be attributed to inefficiency in the innovation process. The remainder is due to differences in the innovation production process itself. We derive our results including the usual controls and find in addition that large firms tend to look more innovative. But when considered more carefully large firms turn out to be less efficient. With standard estimation techniques this inefficiency is masked by a more productive innovation technology. We thus find evidence of economies of scale in line with the Schumpeter mark II hypothesis (large firms are more innovative), but also show that large firms tend to operate at lower levels of efficiency.

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Bibliographic Info

Paper provided by DEGIT, Dynamics, Economic Growth, and International Trade in its series DEGIT Conference Papers with number c016_060.

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Length: 17 pages
Date of creation: Sep 2011
Date of revision:
Handle: RePEc:deg:conpap:c016_060

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Related research

Keywords: Innovation; Scale Economies; Frontier;

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References

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  1. Daron Acemoglu, 2000. "Technical Change, Inequality, and the Labor Market," NBER Working Papers 7800, National Bureau of Economic Research, Inc.
  2. Baltagi, Badi H & Griffin, James M, 1988. "A General Index of Technical Change," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 20-41, February.
  3. Philippe Aghion & Nicholas Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2002. "Competition and Innovation: An Inverted U Relationship," NBER Working Papers 9269, National Bureau of Economic Research, Inc.
  4. Brouwer, E. & Poot, T. & Montfort, K. van, 2007. "The Innovation Threshold," Discussion Paper 2007-008, Tilburg University, Tilburg Law and Economic Center.
  5. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
  6. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December.
  7. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  8. Acemoglu, Daron, 1997. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," CEPR Discussion Papers 1707, C.E.P.R. Discussion Papers.
  9. Philippe Aghion & Peter Howitt, 1990. "A Model of Growth Through Creative Destruction," NBER Working Papers 3223, National Bureau of Economic Research, Inc.
  10. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth Through Creative Destruction," Scholarly Articles 12490578, Harvard University Department of Economics.
  11. Dinopoulos, Elias & Thompson, Peter, 1998. " Schumpeterian Growth without Scale Effects," Journal of Economic Growth, Springer, vol. 3(4), pages 313-35, December.
  12. Daron Acemoglu, 2001. "Directed Technical Change," NBER Working Papers 8287, National Bureau of Economic Research, Inc.
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Cited by:
  1. Daria Ciriaci & Pietro Moncada-Paternò-Castello & Peter Voigt, 2012. "Does size or age of innovative firms affect their growth persistence? -Evidence from a panel of innovative Spanish firms-," JRC-IPTS Working Papers on Corporate R&D and Innovation 2012-03, Institute of Prospective Technological Studies, Joint Research Centre.
  2. Bucci, Alberto, 2013. "Returns to specialization, competition, population, and growth," Journal of Economic Dynamics and Control, Elsevier, vol. 37(10), pages 2023-2040.

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