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Productivity effects of innovation modes

  • Polder, Michael
  • Leeuwen, George van
  • Mohnen, Pierre
  • Raymond, Wladimir

Many empirical studies have confirmed the positive impact of innovation on productivity at the firm level. The focus tends to be either on R&D driven techno-logical innovation on the one hand, or on organisational changes complemented by ICT on the other. To investigate the effect of different types of innovations on produc-tivity, we propose a model with two innovation input equations (R&D and ICT) that feed into a knowledge production function consisting of a system of three innovation output equations (product innovation, process innovation and organisational innova-tion), which ultimately feeds into a productivity equation. We find that ICT is an im-portant driver of innovation in both manufacturing and services. Doing more R&D has a positive effect on product innovation in manufacturing. Organisational innova-tion has the strongest productivity effects. We only find positive effects of product and process innovation when combined with an organisational innovation.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 18893.

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Date of creation: 2009
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Handle: RePEc:pra:mprapa:18893
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  1. Loof, Hans & Heshmati, Almas, 2002. "Knowledge capital and performance heterogeneity: : A firm-level innovation study," International Journal of Production Economics, Elsevier, vol. 76(1), pages 61-85, March.
  2. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
  3. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
  4. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
  5. Nick Bloom & Luis Garicano & Raffaella Sadun & John Van Reenen, 2009. "The Distinct Effects of Information Technology and Communication Technology on Firm Organization," CEP Discussion Papers dp0927, Centre for Economic Performance, LSE.
  6. Gustavo Crespi & Chiara Criscuolo & Jonathan Haskel, 2007. "Information technology, organisational change and productivity growth: evidence from UK firms," LSE Research Online Documents on Economics 19748, London School of Economics and Political Science, LSE Library.
  7. Kox, Henk L.M. & Leeuwen, George van & Wiel, Henry van der, 2007. "Market structure, productivity and scale in European business services," MPRA Paper 6137, University Library of Munich, Germany.
  8. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, March.
  9. Erik Brynjolfsson & Andrew McAfee & Michael Sorell & Feng Zhu, 2007. "Scale without mass: business process replication and industry dynamics," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
  10. Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity across Four European Countries," NBER Working Papers 12722, National Bureau of Economic Research, Inc.
  11. Roper, Stephen & Du, Jun & Love, James H., 2008. "Modelling the innovation value chain," Research Policy, Elsevier, vol. 37(6-7), pages 961-977, July.
  12. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation, and Productivity: An Econometric Analysis at the Firm Level," NBER Working Papers 6696, National Bureau of Economic Research, Inc.
  13. George Van Leeuwen & Luuk Klomp, 2006. "On the contribution of innovation to multi-factor productivity growth," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 367-390.
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