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Policy learning and smart specialization: balancing policy change and continuity for new regional industrial paths

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  • Jerker Moodysson
  • Michaela Trippl
  • Elena Zukauskaite

Abstract

This article seeks to explain what policy approaches and policy measures are best suited for promoting new regional industrial path development and what needs and possibilities there are for such policy to change and adapt to new conditions in order to remain efficient. The article departs from the notion of Smart Specialization and discusses how regional strategies that are inspired by this approach influence path renewal and new path creation and how they are related to and aligned with policy strategies implemented at other scales (local, regional, national, supranational). Our main argument is that new regional industrial growth paths require both continuity and change within the support structure of the innovation system. Unless smart specialization strategies are able to combine such adaptation and continuity, they fail to promote path renewal and new path creation. Our arguments are illustrated with empirical findings from the regional innovation system of Scania, South Sweden.

Suggested Citation

  • Jerker Moodysson & Michaela Trippl & Elena Zukauskaite, 2017. "Policy learning and smart specialization: balancing policy change and continuity for new regional industrial paths," Science and Public Policy, Oxford University Press, vol. 44(3), pages 382-391.
    • Handle: RePEc:oup:scippl:v:44:y:2017:i:3:p:382-391.
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    File URL: http://hdl.handle.net/10.1093/scipol/scw071
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    References listed on IDEAS

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    Cited by:

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    2. Jon Mikel Zabala-Iturriagagoitia, 2022. "Fostering regional innovation, entrepreneurship and growth through public procurement," Small Business Economics, Springer, vol. 58(2), pages 1205-1222, February.
    3. Uyarra, Elvira & Zabala-Iturriagagoitia, Jon Mikel & Flanagan, Kieron & Magro, Edurne, 2020. "Public procurement, innovation and industrial policy: Rationales, roles, capabilities and implementation," Research Policy, Elsevier, vol. 49(1).
    4. Plantinga, Paul & Shilongo, Kristophina & Mudongo, Oarabile & Umubyeyi, Angelique & Gastrow, Michael & Razzano, Gabriella, 2023. "Responsible artificial intelligence in Africa: Towards policy learning," SocArXiv jyhae, Center for Open Science.
    5. Eduardo Jiménez & Marta de la Cuesta-González & Montserrat Boronat-Navarro, 2021. "How Small and Medium-Sized Enterprises Can Uptake the Sustainable Development Goals through a Cluster Management Organization: A Case Study," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    6. Jiang, Zihao & Liu, Zhiying, 2022. "Policies and exploitative and exploratory innovations of the wind power industry in China: The role of technological path dependence," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    7. Zabala-Iturriagagoitia, Jon Mikel & Porto Gómez, Igone & Aguirre Larracoechea, Urko, 2020. "Technological diversification: a matter of related or unrelated varieties?," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    8. Evgeny N. Starikov & Marina V. Evseeva & Ilya V. Naumov, 2022. "Industrial growth and specialisation: The impact of the government support tools," Journal of New Economy, Ural State University of Economics, vol. 23(3), pages 86-108, October.
    9. Claudia Fuentes & Fernando Santiago & Serdal Temel, 2020. "Perception of innovation barriers by successful and unsuccessful innovators in emerging economies," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1283-1307, August.
    10. Arza, Valeria & López, Emanuel, 2021. "Obstáculos y capacidades para la innovación desde una perspectiva regional: el caso de la Patagonia argentina," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 49, pages 131-156.

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