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A scoreboard to evaluate clusters’ competitiveness in the knowledge-based economy. An empirical study on Emilia Romagna region

Author

Listed:
  • Andrea GANZAROLI
  • Gianluca FISCATO
  • Luciano PILOTTI

Abstract

Our main objective with this paper is to propose a scoreboard useful to assess clusters’ competitiveness in a knowledge-based economy. Our scoreboard is grounded on the concept of ecology of value. This concept highlights that the competitiveness of a network of small and medium enterprises depends on its capacity to leverage on firms’ strategic autonomy and self-determinacy by providing a context of interaction that is socially rich and adapted to sustain the development of intense ongoing relationships. In our scoreboard the concept of competitiveness is structured into two levels. The top level is made of a matrix that synthesizes cluster’s competitive position in terms of quality of the social capital available and of the learning process activated. The second level is made of three matrixes useful to deepen the reasons that contribute to define a cluster’s competitive position. We test our scoreboard in seven clusters of Emilia Romagna. Our scoreboard proves itself a useful benchmarking tool and a potential good support for policymaking

Suggested Citation

  • Andrea GANZAROLI & Gianluca FISCATO & Luciano PILOTTI, 2006. "A scoreboard to evaluate clusters’ competitiveness in the knowledge-based economy. An empirical study on Emilia Romagna region," Departmental Working Papers 2006-30, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    • Handle: RePEc:mil:wpdepa:2006-30
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    References listed on IDEAS

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    1. Luciano PILOTTI, 2004. "Culture & arts as knowledge resources towards sustainability for identity of nations and cognitive richness of human being," Departmental Working Papers 2004-11, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    2. Asheim, Bjorn T & Isaksen, Arne, 2002. "Regional Innovation Systems: The Integration of Local 'Sticky' and Global 'Ubiquitous' Knowledge," The Journal of Technology Transfer, Springer, vol. 27(1), pages 77-86, January.
    3. David Newlands, 2003. "Competition and Cooperation in Industrial Clusters: The Implications for Public Policy," European Planning Studies, Taylor & Francis Journals, vol. 11(5), pages 521-532, July.
    4. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    5. Ron Martin & Peter Sunley, 2003. "Deconstructing clusters: chaotic concept or policy panacea?," Journal of Economic Geography, Oxford University Press, vol. 3(1), pages 5-35, January.
    6. Ron Boschma, 2004. "Competitiveness of Regions from an Evolutionary Perspective," Regional Studies, Taylor & Francis Journals, vol. 38(9), pages 1001-1014.
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    Cited by:

    1. Ivan DE NONI & Antonio LORENZON & Luigi ORSI, 2007. "Measuring and managing credit risk in SMEs: a quantitative and qualitative rating model," Departmental Working Papers 2007-36, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    2. Ivan DE NONI & Luigi ORSI & Diego TAVECCHIA, 2007. "Benchmarking for SMEs: toward a competitive rating system," Departmental Working Papers 2007-42, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

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    More about this item

    Keywords

    competitive advantage; knowledge creation; scoreboard;
    All these keywords.

    JEL classification:

    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L53 - Industrial Organization - - Regulation and Industrial Policy - - - Enterprise Policy
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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