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Measuring the Quality of Regional Innovation Systems: A Knowledge Production Function Approach

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  • Michael Fritsch

    (Technical University Bergakademie Freiberg, Faculty of Economics and Business Administration, Freiberg, Germany, fritschm@vwl.tu-freiberg.de)

Abstract

This article deals with applying the knowledge production function approach to the measuring and the comparison of the quality of regional innovation systems. It is argued that an embeddedness in a well-functioning innovation system should result in a relatively high propensity to innovate and a high productivity of efforts in research and development (R&D). Based on data for eleven European regions, the author has found a number of such statistically significant differences between the manufacturing firms in these regions. Interregional differences in the productivity of R&D activities correspond to some degree with a center-periphery paradigm, which can be found in the literature. Obviously, there exist considerable agglomeration economies that are conducive to R&D activities.

Suggested Citation

  • Michael Fritsch, 2002. "Measuring the Quality of Regional Innovation Systems: A Knowledge Production Function Approach," International Regional Science Review, , vol. 25(1), pages 86-101, January.
  • Handle: RePEc:sae:inrsre:v:25:y:2002:i:1:p:86-101
    DOI: 10.1177/016001702762039394
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    References listed on IDEAS

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    1. Winter, Sidney G., 1984. "Schumpeterian competition in alternative technological regimes," Journal of Economic Behavior & Organization, Elsevier, vol. 5(3-4), pages 287-320.
    2. Cooke, Philip & Gomez Uranga, Mikel & Etxebarria, Goio, 1997. "Regional innovation systems: Institutional and organisational dimensions," Research Policy, Elsevier, vol. 26(4-5), pages 475-491, December.
    3. N Alderman & M M Fischer, 1992. "Innovation and Technological Change: An Austrian-British Comparison," Environment and Planning A, , vol. 24(2), pages 273-288, February.
    4. Michael Fritsch, 2000. "Interregional Differences in R&D Activities—An Empirical Investigation," European Planning Studies, Taylor & Francis Journals, vol. 8(4), pages 409-427, August.
    5. David B. Audretsch, 1995. "Innovation and Industry Evolution," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011468, April.
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