Mapping innovative clusters in national innovation systems
AbstractIn 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. --
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Bibliographic InfoPaper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 98-45.
Date of creation: 1998
Date of revision:
Find related papers by JEL classification:
- O32 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- O38 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Government Policy
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- 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..
- Durlauf, S.N. & Johnson, P.A., 1994. "Multiple Regimes and Cross-Country Growth Behavior," Working papers 9419, Wisconsin Madison - Social Systems.
- Durlauf, S.M. & Johnson, P.A., 1995. "Multiple Regimes and Cross-Country Growth Behavior," Working papers 9419r, Wisconsin Madison - Social Systems.
- 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.
- 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.
- 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.
- Debresson, Chris, 1989. "Breeding innovation clusters: A source of dynamic development," World Development, Elsevier, vol. 17(1), pages 1-16, January.
- Kleinknecht, Alfred, 1987. "Measuring R&D in Small Firms: How Much Are We Missing?," Journal of Industrial Economics, Wiley Blackwell, vol. 36(2), pages 253-56, December.
- 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.
- Bernard, A.B. & Jones, C.I., 1993. "Productivity Across Industries and Countries: Time Series Theory and Evidence," Working papers 93-17, Massachusetts Institute of Technology (MIT), Department of Economics.
- Felder, Johannes & Licht, Georg & Nerlinger, Eric A. & Stahl, Harald, 1995. "Appropriability, opportunity, firm size and innovation activities: empirical results using East and West German firm level data," ZEW Discussion Papers 95-21, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Mansfield, Edwin, 1998. "Academic research and industrial innovation: An update of empirical findings1," Research Policy, Elsevier, vol. 26(7-8), pages 773-776, April.
- Beise, Marian & Stahl, Harald, 1999.
"Public research and industrial innovations in Germany,"
Elsevier, vol. 28(4), pages 397-422, April.
- 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.
- 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.
- 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.
- John Scott, 1984. "Firm versus Industry Variability in R&D Intensity," NBER Chapters, in: R & D, Patents, and Productivity, pages 233-248 National Bureau of Economic Research, Inc.
- Hughes, Kirsty, 1988. "The interpretation and measurement of R&D intensity -- A note," Research Policy, Elsevier, vol. 17(5), pages 301-307, October.
- Mansfield, Edwin, 1991. "Academic research and industrial innovation," Research Policy, Elsevier, vol. 20(1), pages 1-12, February.
- Gernot Hutschenreiter, 1994. "Technologische Cluster in der österreichischen Industrie," WIFO Monatsberichte (monthly reports), WIFO, vol. 67(11), pages 624-627, November.
- Teubal, Morris & Yinnon, Tamar & Zuscovitch, Ehud, 1991. "Networks and market creation," Research Policy, Elsevier, vol. 20(5), pages 381-392, October.
- Tom Broekel & Thomas Brenner, 2011.
"Regional factors and innovativeness: an empirical analysis of four German industries,"
The Annals of Regional Science,
Springer, vol. 47(1), pages 169-194, August.
- Tom Broekel & Thomas Brenner, 2009. "Regional Factors and Innovativeness - An Empirical Analysis of Four German Industries," Papers in Evolutionary Economic Geography (PEEG) 0917, Utrecht University, Section of Economic Geography, revised Oct 2009.
- Chris Hendry & James Brown, 2006. "Dynamics of clustering and performance in the UK opto-electronics industry," Regional Studies, Taylor & Francis Journals, vol. 40(7), pages 707-725.
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