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Perceived Social Capital and Institutional Environment‘s Impact On the Success of Regional Cluster Policies

Author

Listed:
  • Kwiatkowski Tomasz

    (Jagiellonian University, Institute of Geography and Spatial Management, Gronostajowa 7, 30-387 Cracow, Poland)

  • Micek Grzegorz

    (Jagiellonian University, Institute of Geography and Spatial Management, Gronostajowa 7, 30-387 Cracow, Poland)

  • Łapczyński Mariusz

    (Cracow University of Economics, Department of Market Analysis and Marketing Research, Rakowicka 27, 31-510 Cracow, Poland)

Abstract

Cluster policies (CPs) are said to be one of the crucial elements supporting the innovativeness of local and regional economies. However, what drives the success of CPs has not been made fully explicit. We tested the impact of perceived quality and strength of social capital (SC) and the formal institutional environment (FIE) upon CPs. We studied this relationship by applying structural equation modelling to data from quantitative CATI research on members of 20 cluster initiatives from four Polish administrative regions (NUTS 2), referred to as voivodships. We have revealed that the formal institutional environment has a strong influence on CPs, whereas, surprisingly, SC hardly matters.

Suggested Citation

  • Kwiatkowski Tomasz & Micek Grzegorz & Łapczyński Mariusz, 2023. "Perceived Social Capital and Institutional Environment‘s Impact On the Success of Regional Cluster Policies," Central European Economic Journal, Sciendo, vol. 10(57), pages 198-218, January.
    • Handle: RePEc:vrs:ceuecj:v:10:y:2023:i:57:p:198-218:n:4
    DOI: 10.2478/ceej-2023-0012
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    References listed on IDEAS

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    More about this item

    Keywords

    social capital (SC); formal institutional environment (FIE); cluster policies (CPs); entrepreneurs’ perception; structural equation modelling (SEM);
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other

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