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R&D over the Life Cycle

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Author Info

  • J.W.B. Bos
  • C. Economidou
  • M.W.J.L. Sanders

Abstract

This paper presents a model of the life cycle that drives and is driven by R&D. In the model, firms have the option to improve their quality or to invest R&D resources in efficiency gains. Faced with this tradeoff, young firms opt for quality instead of efficiency improvements, whereas more mature firms will do both. This switch is endogenous and depends on past R&D choices. We explore these two hypotheses empirically using a panel of manufacturing industries across six European countries over the period 1980-1997. Our empirical results provide support for the model’s predictions.

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File URL: http://dspace.library.uu.nl/bitstream/handle/1874/31459/07-18.pdf
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Bibliographic Info

Paper provided by Utrecht School of Economics in its series Working Papers with number 07-18.

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Length: 23 pages
Date of creation: 2007
Date of revision:
Handle: RePEc:use:tkiwps:0718

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Related research

Keywords: Growth; Life Cycle; Innovation; Stochastic Frontier Analysis; Manufacturing Industries;

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References

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  1. Rachel Griffith & Stephen Redding & John Van Reenen, 2000. "Mapping the two faces of R&D : productivity growth in a panel of OECD industries," LSE Research Online Documents on Economics 784, London School of Economics and Political Science, LSE Library.
  2. 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.
  3. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-96, September.
  4. Jones, Charles I., 2005. "Growth and Ideas," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 16, pages 1063-1111 Elsevier.
  5. Ron Adner & Daniel Levinthal, 2001. "Demand Heterogeneity and Technology Evolution: Implications for Product and Process Innovation," Management Science, INFORMS, vol. 47(5), pages 611-628, May.
  6. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455, October.
  7. 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.
  8. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: An Inverted-U Relationship," The Quarterly Journal of Economics, MIT Press, vol. 120(2), pages 701-728, May.
  9. Coe, David T & Helpman, Elhanan & Hoffmaister, Alexander W, 1997. "North-South R&D Spillovers," Economic Journal, Royal Economic Society, vol. 107(440), pages 134-49, January.
  10. Koop, Gary, 2001. "Cross-Sectoral Patterns of Efficiency and Technical Change in Manufacturing," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(1), pages 73-103, February.
  11. Audretsch, David B & Sanders, Mark, 2007. "Globalization and the Rise of the Entrepreneurial Economy," CEPR Discussion Papers 6247, C.E.P.R. Discussion Papers.
  12. Stefano Scarpetta & Thierry Tressel, 2002. "Productivity and Convergence in a Panel of OECD Industries: Do Regulations and Institutions Matter?," OECD Economics Department Working Papers 342, OECD Publishing.
  13. Cameron, Gavin & Proudman, James & Redding, Stephen, 2005. "Technological convergence, R&D, trade and productivity growth," European Economic Review, Elsevier, vol. 49(3), pages 775-807, April.
  14. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
  15. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
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Citations

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Cited by:
  1. Subal C. Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2010. "Corporate R&D and firm efficiency: Evidence from Europe’s top R&D investors," JRC-IPTS Working Papers on Corporate R&D and Innovation 2010-11, Institute of Prospective Technological Studies, Joint Research Centre.

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