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Linking the bottom-up and top-down evolution of regional innovation systems to policy: organizations, support structures and learning processes

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  • Rune Njøs
  • Jens Kristian Fosse

Abstract

The literature is ambiguous about whether regional innovation systems (RIS) evolve bottom-up or top-down. This is reflected in RIS policies, which tend to focus on either development of the actor level, i.e. organizations in a RIS, or the system level, i.e. the support structure for innovation. Here, we analyzed a Norwegian RIS policy programme, the Programme for Regional R&D and Innovation (VRI), which aimed to combine both approaches. We found that VRI mainly developed the support structure for innovation and that learning outcomes from VRI involvement in organizations differed between the involved actor groups. This is particularly so for RIS development in regions inexperienced with support structure development prior to VRI involvement. Conversely, in regions with well-functioning support structures prior to VRI, the focus was most beneficially on stimulating learning at the actor level. We argue that future research should investigate mechanisms and interlinkages between the two levels and especially their regional particularities.

Suggested Citation

  • Rune Njøs & Jens Kristian Fosse, 2019. "Linking the bottom-up and top-down evolution of regional innovation systems to policy: organizations, support structures and learning processes," Industry and Innovation, Taylor & Francis Journals, vol. 26(4), pages 419-438, April.
    • Handle: RePEc:taf:indinn:v:26:y:2019:i:4:p:419-438
    DOI: 10.1080/13662716.2018.1438248
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    Cited by:

    1. Plechero, Monica & Mandar, Kulkarni & Chaminade, Cristina & Balaji, Parthasarathy, 2019. "Explaining the past, predicting the future: the influence of regional trajectories on innovation networks of new industries in emerging economies," Papers in Innovation Studies 2019/15, Lund University, CIRCLE - Centre for Innovation Research.
    2. Fubiao Zhu & Delin Zhuang & Shengwu Jin & Lingling Gao & Rui Chen, 2022. "Effects of air pollution on regional innovation and the mediator role of health: Evidence from China," Growth and Change, Wiley Blackwell, vol. 53(2), pages 628-650, June.
    3. Maruccia, Ylenia & Solazzo, Gianluca & Del Vecchio, Pasquale & Passiante, Giuseppina, 2020. "Evidence from Network Analysis application to Innovation Systems and Quintuple Helix," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. Yong Kyu Lew & Jeong‐Yang Park, 2021. "The evolution of N‐helix of the regional innovation system: Implications for sustainability," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(2), pages 453-464, March.
    5. Min, Sujin & Kim, Juseong & Sawng, Yeong-Wha, 2020. "The effect of innovation network size and public R&D investment on regional innovation efficiency," Technological Forecasting and Social Change, Elsevier, vol. 155(C).

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