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Analysing the effects of cluster policy: What can we learn from the German leading-edge cluster competition?

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  • Michael Rothgang

    (RWI Leibniz Institute for Economic Research)

  • Jochen Dehio

    (RWI Leibniz Institute for Economic Research)

  • Bernhard Lageman

    (RWI Leibniz Institute for Economic Research)

Abstract

Building on experiences collected in the course of an evaluation of a German cluster policy programme, the Leading-Edge Cluster Competition (LECC, evaluation 2008–2014), this paper scrutinizes central problems that arise in the evaluation of the impacts of large-scale innovation policy programmes. We find that our relatively modest knowledge with regard to the actual effects and impact patterns of comparable programmes is not necessarily due to methodological weaknesses of the evaluation studies, but rather to inherent structural programme characteristics. The present state-of-the-art evaluation methodology does not sufficiently allow us to take into consideration these characteristics. Challenges in the evaluation of technology programs relate closely to different facets of complexity. Our analysis shows that three aspects of programme effects deserve more attention in evaluation research: Emergence and non-linearity, uncertainty, and time patterns of the observed effects. Using the example of the LECC, our paper demonstrates how evaluators’ work is affected by these phenomena. The results lead to the question of whether there are methodological alternatives that are suitable for future evaluations of complex innovation programmes.

Suggested Citation

  • Michael Rothgang & Jochen Dehio & Bernhard Lageman, 2019. "Analysing the effects of cluster policy: What can we learn from the German leading-edge cluster competition?," The Journal of Technology Transfer, Springer, vol. 44(6), pages 1673-1697, December.
    • Handle: RePEc:kap:jtecht:v:44:y:2019:i:6:d:10.1007_s10961-017-9616-6
    DOI: 10.1007/s10961-017-9616-6
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    References listed on IDEAS

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    Cited by:

    1. James Wilson & Emily Wise & Madeline Smith, 2022. "Evidencing the benefits of cluster policies: towards a generalised framework of effects," Policy Sciences, Springer;Society of Policy Sciences, vol. 55(2), pages 369-391, June.
    2. Graf, Holger & Broekel, Tom, 2020. "A shot in the dark? Policy influence on cluster networks," Research Policy, Elsevier, vol. 49(3).
    3. Dirk Meissner & Sandrine Kergroach, 2021. "Innovation policy mix: mapping and measurement," The Journal of Technology Transfer, Springer, vol. 46(1), pages 197-222, February.
    4. Madeline Smith & James R. Wilson & Emily Wise, 2020. "Evaluating clusters: Where theory collides with practice," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(3), pages 413-430, June.
    5. Frondel, Manuel & Budde, Rüdiger & Dehio, Jochen & Janßen-Timmen, Ronald & Rothgang, Michael & Schmidt, Torsten, 2018. "Erarbeitung aktueller vergleichender Strukturdaten für die deutschen Braunkohleregionen. Projektbericht für das Bundesministerium für Wirtschaft und Energie (BMWi): Endbericht," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 181938.

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