IDEAS home Printed from https://ideas.repec.org/p/unm/umamet/2004024.html

An emprically-based taxonomy of Dutch manufacturing: innovation policy implications

Author

Listed:
  • Raymond, W.

    (Quantitative Economics)

  • Mohnen, P.

    (Mt Economic Research Inst on Innov/Techn)

  • Palm, F.C.

    (Quantitative Economics)

  • Schim van der Loeff, S.

    (Quantitative Economics)

Abstract

The paper studies the degree of homogeneity of innovative behavior in order to determine empirically an industry classification 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. Dans cette étude, nous examinons empiriquement dans quelle mesure le comportement innovateur est homogène dans les entreprises néerlandaises, afin d'établir une classification industrielle du secteur manufacturier des Pays-Bas, qui puisse servir à mettre en place une politique d'innovation. Nous utilisons un modèle tobit à double censure qui explique à la fois la décision d'innover et l'intensité d'innovation des firmes innovantes. Le modèle est estimé pour onze industries définies suivant la classification industrielle type néerlandaise (SBI 1993). À partir d'un test de rapport de vraisemblance sur l'égalité des paramètres, nous arrivons à cerner trois groupes d'industries qui se ressemblent dans leur comportement innovateur: un groupe high-tech, un groupe low-tech et les entreprises du secteur du bois. La même classification ressort des enquêtes communautaires d'innovation CIS 2, CIS 2.5 et CIS 3 des Pays-Bas.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Raymond, W. & Mohnen, P. & Palm, F.C. & Schim van der Loeff, S., 2004. "An emprically-based taxonomy of Dutch manufacturing: innovation policy implications," Research Memorandum 024, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    • Handle: RePEc:unm:umamet:2004024
    DOI: 10.26481/umamet.2004024
    as

    Download full text from publisher

    File URL: https://cris.maastrichtuniversity.nl/ws/files/778601/guid-888ac04d-74bb-47d8-aabf-251c7bf4dd5d-ASSET1.0.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.26481/umamet.2004024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bi, Kexin & Huang, Ping & Wang, Xiangxiang, 2016. "Innovation performance and influencing factors of low-carbon technological innovation under the global value chain: A case of Chinese manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 275-284.
    2. 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.
    3. Bert Diederen & Pierre Mohnen & Franz C. Palm & Sybrand Schim van der Loeff, 2006. "Innovation in Enterprise Clusters: Evidence from Dutch Manufacturing," Chapters, in: Louise Earl & Fred Gault (ed.), National Innovation, Indicators and Policy, chapter 4, Edward Elgar Publishing.
    4. 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.
    5. Mairesse, Jacques & Mohnen, Pierre, 2010. "Using Innovation Surveys for Econometric Analysis," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1129-1155, Elsevier.
    6. 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.
    7. 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, March.
    8. Spyros Arvanitis & Juliette von Arx, 2004. "Bestimmungsfaktoren der Innovationstätigkeit und deren Einfluss auf Arbeitsproduktivität, Beschäftigung und Qualifikationsstruktur," KOF Working papers 04-91, KOF Swiss Economic Institute, ETH Zurich.

    More about this item

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:unm:umamet:2004024. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Andrea Willems or Angie Figueroa Alarcon (email available below). General contact details of provider: https://edirc.repec.org/data/meteonl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.