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An Empirically-Based Taxonomy of Dutch Manufacturing: Innovation Policy Implications

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  • Raymond,Wladimir
  • Mohnen,Pierre
  • Palm,Franz
  • Schim van der Loeff,Sybrand

    (METEOR)

Abstract

The paper studies the degree of homogeneity of innovative behavior inorder to determine empirically an industry classi¯cation of Dutch manu-facturing that can be used for policy purposes. We use a two-limit tobitmodel with sample selection, which explains the decisions by business en-terprises to innovate and the impact these decisions have on the share ofinnovative sales. The model is estimated for eleven industries based on theDutch Standard Industrial Classi¯cation (SBI 1993). A likelihood ratiotest (LR) is then performed to test for equality of the parameters acrossindustries. We ¯nd that Dutch manufacturing consists of three groups ofindustries in terms of innovative behavior, a high-tech group, a low-techgroup and the industry of wood, where ¯rms seem to have a rather di®er-ent innovative behavior from the remaining industries. The same patternshows up in the three Dutch Community Innovation Surveys.

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Bibliographic Info

Paper provided by Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR) in its series Research Memorandum with number 024.

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Date of creation: 2004
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Handle: RePEc:unm:umamet:2004024

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References

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  1. Sabourin, David & Baldwin, John R. & Hanel, Peter, 2000. "Determinants of Innovative Activity in Canadian Manufacturing Firms: The Role of Intellectual Property Rights," Analytical Studies Branch Research Paper Series 2000122e, Statistics Canada, Analytical Studies Branch.
  2. Amemiya, Takeshi, 1978. "The Estimation of a Simultaneous Equation Generalized Probit Model," Econometrica, Econometric Society, vol. 46(5), pages 1193-1205, September.
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Cited by:
  1. Diederen,Bert & Mohnen,Pierre & Palm ,Franz & Raymond ,Wladimir & Schim van der Loeff,Sybrand, 2005. "Innovation in Enterprise Clusters: Evidence from Dutch Manufacturing," Research Memorandum 021, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
  2. Martin Woerter, 2009. "Industry diversity and its impact on the innovation performance of firms," Journal of Evolutionary Economics, Springer, vol. 19(5), pages 675-700, October.
  3. Jacques Mairesse & Pierre Mohnen, 2010. "Using Innovations Surveys for Econometric Analysis," NBER Working Papers 15857, National Bureau of Economic Research, Inc.
  4. Woerter, Martin & Roper, Stephen, 2010. "Openness and innovation--Home and export demand effects on manufacturing innovation: Panel data evidence for Ireland and Switzerland," Research Policy, Elsevier, vol. 39(1), pages 155-164, February.
  5. Spyros Arvanitis & Juliette von Arx, 2004. "Bestimmungsfaktoren der Innovationstätigkeit und deren Einfluss auf Arbeitsproduktivität, Beschäftigung und Qualifikationsstruktur : Eine mikroökonometrische Untersuchung anhand von Paneldaten 198," KOF Working papers 04-91, KOF Swiss Economic Institute, ETH Zurich.
  6. Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Loeff, 2006. "A Classification of Dutch Manufacturing based on a Model of Innovation," De Economist, Springer, vol. 154(1), pages 85-105, 03.
  7. de Jong, Jeroen P.J. & Marsili, Orietta, 2006. "The fruit flies of innovations: A taxonomy of innovative small firms," Research Policy, Elsevier, vol. 35(2), pages 213-229, March.

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