This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Mapping innovative clusters in national innovation systems

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Spielkamp, Alfred
Vopel, Katrin
Abstract

In the following paragraphs we will discuss the ?mapping of innovative clusters in national innovation systems?. For this we have used a data set of almost 3.000 firms that participated in the first and fifth survey of the Mannheimer Innovation Survey (which is comparable with CIS data). The Community Innovation Survey (CIS) is an initiative of the EU Commission and a joint survey of DG XIII/SPRINT/EIMS and Eurostat. To begin with we will, in the context of a definition of innovation systems, highlight the outline conditions for innovations in Germany, focusing above all on the basis of innovations, science and engineering. This is followed by a step-by-step empirical analysis of the mapping of innovative clusters at the company level which is based on the Community Innovation Survey set of data; and finally the structural influences (size-effect, effects of sectors/industries) on the innovative behaviour or innovative styles are presented. The explanatory power of structural influences on the innovative behaviour will also be analysed as well as the influence of other variables such as information flows and cooperation patterns within the innovation system of Germany. In the summary at the end of this paper we will suggest starting points for potential implications for innovation policy in order to be able to develop generic and specific policies for the different industry clusters. As far as we know from firms innovating at a certain level of organisation, they use a special portfolio of information and knowledge transfer strategies that can not simply be transferred to firms which are not (yet) innovative. While accepting that innovative inhouse activities are necessary to keep track with international developments and competition, a highly innovative atmosphere within the economy which supports innovative activities should be among the main goals of innovation policy. Furthermore, firms need to have an absorptive capacity to transform knowledge into innovations that bring economic success. --

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://econstor.eu/bitstream/10419/24287/1/dp4598.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 98-45.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 1998
Date of revision:
Handle: RePEc:zbw:zewdip:5215

Contact details of provider:
Postal: L 7,1; D - 68161 Mannheim
Phone: +49/621/1235-01
Fax: +49/621/1235-224
Email:
Web page: http://www.zew.de/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (ZBW - German National Library for Economics).

Related research
Keywords:

This item is featured on the following reading lists:

  1. Socio-Economics of Innovation
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. Hughes, Kirsty, 1988. "The interpretation and measurement of R&D intensity -- A note," Research Policy, Elsevier, vol. 17(5), pages 301-307, October. [Downloadable!] (restricted)
  2. Bernard, Andrew B & Jones, Charles I, 1996. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries," American Economic Review, American Economic Association, vol. 86(5), pages 1216-38, December. [Downloadable!] (restricted)
  3. Bernard, Andrew B & Jones, Charles I, 1996. "Productivity across Industries and Countries: Time Series Theory and Evidence," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 135-46, February. [Downloadable!] (restricted)
    Other versions:
  4. Eltis, Walter, 1996. "How Low Profitability and Weak Innovativeness Undermined UK Industrial Growth," Economic Journal, Royal Economic Society, vol. 106(434), pages 184-95, January. [Downloadable!] (restricted)
  5. Mansfield, Edwin, 1998. "Academic research and industrial innovation: An update of empirical findings1," Research Policy, Elsevier, vol. 26(7-8), pages 773-776, April. [Downloadable!] (restricted)
  6. Cohen, Wesley M & Klepper, Steven, 1992. "The Anatomy of Industry R&D Intensity Distributions," American Economic Review, American Economic Association, vol. 82(4), pages 773-99, September. [Downloadable!] (restricted)
  7. Mansfield, Edwin, 1991. "Academic research and industrial innovation," Research Policy, Elsevier, vol. 20(1), pages 1-12, February. [Downloadable!] (restricted)
  8. Teubal, Morris & Yinnon, Tamar & Zuscovitch, Ehud, 1991. "Networks and market creation," Research Policy, Elsevier, vol. 20(5), pages 381-392, October. [Downloadable!] (restricted)
  9. Durlauf, Steven N & Johnson, Paul A, 1995. "Multiple Regimes and Cross-Country Growth Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 365-84, Oct.-Dec.. [Downloadable!] (restricted)
  10. Debresson, Chris, 1989. "Breeding innovation clusters: A source of dynamic development," World Development, Elsevier, vol. 17(1), pages 1-16, January. [Downloadable!] (restricted)
  11. Kleinknecht, Alfred, 1987. "Measuring R&D in Small Firms: How Much Are We Missing?," Journal of Industrial Economics, Blackwell Publishing, vol. 36(2), pages 253-56, December. [Downloadable!] (restricted)
  12. Beise, Marian & Stahl, Harald, 1998. "Public research and industrial innovations in Germany," ZEW Discussion Papers 98-37, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research. [Downloadable!]
    Other versions:
  13. Keith Smith, . "Interactions in knowledge systems: Foundations, policy implications and empirical methods," STEP Report series 199410, The STEP Group, Studies in technology, innovation and economic policy. [Downloadable!]
  14. Kleinknecht, Alfred & Reijnen, Jeroen O. N., 1992. "Why do firms cooperate on R&D? an empirical study," Research Policy, Elsevier, vol. 21(4), pages 347-360, August. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? You can create a compilation of all publications of a group of people, say alumni of a program, your students or memers of an association.

This page was last updated on 2009-12-8.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.