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

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Author Info

  • Raymond,Wladimir
  • Mohnen,Pierre
  • Palm,Franz
  • Schneider,Berit

    (MERIT)

Abstract

The paper studies the degree of homogeneity of innovative behavior in order to determine empirically an industry classi¯cation of Dutch manufacturing that can be used for policy purposes. We use a two-limit tobit model with sample selection, which explains the decisions by business enterprises to innovate and the impact these decisions have on the share of innovative sales. The model is estimated for eleven industries based on the Dutch Standard Industrial Classification (SBI 1993). A likelihood ratio test (LR) is then performed to test for equality of the parameters across industries. We find that Dutch manufacturing consists of three groups of industries in terms of innovative behavior, a high-tech group, a low-tech group and the industry of wood, where firms seem to have a rather different innovative behavior from the remaining industries. The same pattern shows up in the three Dutch Community Innovation Surveys.

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Bibliographic Info

Paper provided by Maastricht : MERIT, Maastricht Economic Research Institute on Innovation and Technology in its series Research Memoranda with number 011.

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Date of creation: 2004
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Handle: RePEc:dgr:umamer:2004011

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Web page: http://www.maastrichtuniversity.nl/web/UMPublications.htm

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Keywords: mathematical economics and econometrics ;

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References

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  1. Amemiya, Takeshi, 1978. "The Estimation of a Simultaneous Equation Generalized Probit Model," Econometrica, Econometric Society, vol. 46(5), pages 1193-1205, September.
  2. Baldwin, John R. Hanel, Peter Sabourin, David, 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.
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Citations

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Cited by:
  1. 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.
  2. Bert Diederen & Pierre Mohnen & Franz Palm & Wladimir Raymond & Sybrand Schim van der Loeff, 2005. "Innovation in Enterprise Clusters:Evidence from Dutch Manufacturing," CIRANO Working Papers 2005s-32, CIRANO.
  3. Martin Woerter & Stephen Roper, 2008. "Openness and Innovation - Home and Export Demand Effects on Manufacturing Innovation: Panel Data Evidence for Ireland and Switzerland," KOF Working papers 08-210, KOF Swiss Economic Institute, ETH Zurich.
  4. 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.
  5. Jacques Mairesse & Pierre Mohnen, 2010. "Using Innovations Surveys for Econometric Analysis," NBER Working Papers 15857, National Bureau of Economic Research, Inc.
  6. 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.
  7. 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.

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