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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)

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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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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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Keywords: mathematical economics and econometrics

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Amemiya, Takeshi, 1978. "The Estimation of a Simultaneous Equation Generalized Probit Model," Econometrica, Econometric Society, vol. 46(5), pages 1193-1205, September. [Downloadable!] (restricted)
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  1. 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. [Downloadable!]
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  2. Spyros Arvanitis & Juliette von Arx, 2004. "Bestimmungsfaktoren der Innovationstätigkeit und deren Einfluss auf Arbeitsproduktivität, Beschäftigung und Qualifikationsstruktur : Eine mikroökonometrische Untersuchung anhand von Paneldaten 198," Working papers 04-91, KOF Swiss Economic Institute, ETH Zurich. [Downloadable!]
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